Geometry and Symmetry · Unit 1Foundations
Manifolds as configuration spaces
A manifold is a space that is locally coordinated like Euclidean space but need not have one global coordinate chart. The sphere requires overlapping charts; failure of a global smooth chart is not a physical singularity. Coordinates label points, while transition functions define how local descriptions agree on overlaps.
Geometry and Symmetry · Unit 2Foundations
Tangent spaces, cotangent spaces, and metrics
A tangent vector acts on smooth functions as a derivation, and a cotangent vector is a linear functional on tangent vectors. A metric is a nondegenerate symmetric bilinear form mapping two tangent vectors to a scalar. Covectors and vectors acquire different coordinate transformation laws; the metric connects them only after it is specified.
Geometry and Symmetry · Unit 3Foundations
Curvature, geodesics, and parallel transport
Parallel transport uses a connection to compare tangent vectors at neighboring points without choosing arbitrary ambient embeddings. Geodesics have zero covariant acceleration under an affine parameter. Curvature detects path dependence of infinitesimal parallel transport; the Riemann tensor is built from the connection and its derivatives.
Geometry and Symmetry · Unit 4Foundations
Groups, actions, and symmetry
A group captures composition, identity and inverse of symmetry transformations. A group action associates group elements with transformations of a physical state space. Continuous groups such as rotations possess infinitesimal generators, while discrete symmetries such as lattice translations may have qualitatively different invariants.
Geometry and Symmetry · Unit 5Foundations
Lie algebras and infinitesimal generators
A Lie algebra is the tangent space at the identity of a Lie group equipped with the commutator bracket. For matrix groups, exponentiating generators constructs one-parameter subgroups. Structure constants encode the generator algebra, and the Jacobi identity ensures compatibility of nested commutators.
Geometry and Symmetry · Unit 6Foundations
Representations of SU(2) and spin
SU(2) acts on complex spinors; its Lie algebra is generated by Pauli matrices. Irreducible spin-j representations have dimension 2j+1, with j integer or half-integer. The group double-covers SO(3), explaining the minus sign acquired by a spin-half state under a 2π rotation.
Geometry and Symmetry · Unit 7Foundations
SU(3), Lorentz, and Poincare symmetry
SU(3) has eight independent generators and appears as the local color symmetry of QCD; its fundamental representation has dimension three. The Lorentz group preserves the Minkowski metric and admits spinor representations not captured by ordinary spatial vectors. The Poincaré group adds spacetime translations, with mass and spin labeling key irreducible representations.
Geometry and Symmetry · Unit 8Foundations
Homotopy, homology, and invariants
Homotopy studies continuous deformation of maps; homology assigns algebraic invariants to cycles. The fundamental group detects classes of closed loops, while homology can count holes in different dimensions. These invariants are robust under continuous deformation but require a well-defined underlying topological space.
Geometry and Symmetry · Unit 9Foundations
Fiber bundles and gauge connections
A fiber bundle assigns an auxiliary space to each base point while allowing globally nontrivial gluing. In gauge theory the local gauge potential A is a connection; a gauge transformation changes its components while preserving appropriately constructed observables. Parallel transport gives a path-ordered holonomy, the natural home of Wilson loops.
Geometry and Symmetry · Unit 10Foundations
Gauge curvature and holonomy
Gauge curvature is the field strength of a connection. For a non-Abelian gauge field, the commutator term A∧A is essential and produces self-interaction absent in Abelian U(1) electromagnetism. Holonomy around infinitesimal loops is controlled by curvature; finite Wilson loops remain path-ordered and depend on the representation.
Geometry and Symmetry · Unit 11Foundations
Berry phase and Chern numbers
For a smoothly parameterized nondegenerate eigenstate, the Berry connection is A=i⟨u|∇u⟩; its curvature measures geometric phase accumulation over parameter-space surfaces. Integrating curvature over a closed compact two-dimensional base can produce an integer Chern number when the associated bundle and gap assumptions hold.
Geometry and Symmetry · Unit 12Foundations
Topological defects, anomalies, and research links
Defects are classified by order-parameter topology and dimensionality: line defects in a complex phase can carry integer winding, while monopoles use maps surrounding an isolated core. Quantum anomalies arise when a classical symmetry fails in the quantum measure or regulator, with concrete observable consequences. Defects and anomalies are related to topology but are not interchangeable concepts.
Many-Body Physics · Unit 1Advanced Physics
Fock space and second quantization
Fock space assembles sectors with different particle numbers by taking direct sums of symmetrized or antisymmetrized tensor powers of the one-particle space. Creation operators add occupation to modes, while number operators count quanta. This language captures many-particle sectors without tracking artificial particle labels.
Many-Body Physics · Unit 2Advanced Physics
Fermions, bosons, and exchange algebra
Bosonic mode operators obey commutators and allow unbounded mode occupancy; fermionic operators obey anticommutators and enforce zero or one fermion per mode. Exchanging identical particles is different from the exchange of two distinguishable subsystems, and the normalization of (anti)symmetrized states depends on orbital overlap.
Many-Body Physics · Unit 3Advanced Physics
Hubbard and Heisenberg lattice models
The Hubbard model balances hopping t and on-site repulsion U on a lattice. At strong repulsion and half filling, virtual hopping can yield an effective antiferromagnetic Heisenberg exchange with scale J≈4t²/U on appropriate lattices. This result requires controlled perturbation in t/U and the relevant filling and geometry.
Many-Body Physics · Unit 4Advanced Physics
Mean-field theory and broken symmetry
Mean-field theory replaces certain fluctuating operator products with averages and self-consistency conditions. It often captures broken-symmetry order parameters but may misrepresent critical exponents or strong quantum fluctuations. One should identify the decoupling channel, possible competing orders and whether a unique minimum is physically trustworthy.
Many-Body Physics · Unit 5Advanced Physics
Quantum phases and phase transitions
Quantum phases are distinguished through ground-state properties, excitation structure, symmetry and long-range entanglement. A continuous transition can develop a diverging correlation length and a closing gap, but first-order transitions and topological changes have different signatures. Finite-size scaling is essential when interpreting spectra from small simulated lattices.
Many-Body Physics · Unit 6Advanced Physics
Correlation functions and response
Equal-time and dynamical correlation functions quantify how disturbances at one point relate to another. Linear response connects susceptibility to commutators of operators evaluated in equilibrium. Spectral functions can reveal collective modes, continua and damping, but experimental probes couple to specific operators and selection rules.
Many-Body Physics · Unit 7Advanced Physics
Entanglement entropy and area laws
Bipartite entanglement entropy measures how nonfactorizable a pure many-body state is across a spatial cut. Gapped one-dimensional ground states often obey an area law, while critical chains have logarithmic violations controlled by conformal structure. Entanglement entropy depends on the chosen partition and cannot directly substitute for an ordinary thermodynamic entropy in general.
Many-Body Physics · Unit 8Advanced Physics
Tensor networks and matrix product states
A matrix product state factors many-body wavefunction amplitudes into chains of low-rank tensors. Bond dimension controls the maximum bipartite Schmidt rank and the entanglement that a state can represent. Canonical forms simplify norms and truncation. DMRG searches within this ansatz class but must be checked against increasing bond dimension and finite-size effects.
Many-Body Physics · Unit 9Advanced Physics
Topological order
Topological order is a phase not characterized by an ordinary local symmetry-breaking order parameter. Examples feature anyonic excitations, topology-dependent ground-state degeneracy and long-range entanglement. The toric code provides commuting stabilizers whose excitations have mutual anyonic statistics. Ground-state degeneracy depends on global boundary topology under the ideal model.
Many-Body Physics · Unit 10Advanced Physics
Quantum Hall physics
Landau levels quantize kinetic motion of charged particles in a magnetic field. Integer Hall plateaus are connected to filled topological bands and disorder localization; fractional Hall states arise from strongly correlated electron fluids and support fractionally charged excitations. Filling factor alone does not uniquely specify the state without interaction and symmetry data.
Many-Body Physics · Unit 11Advanced Physics
Exact diagonalization and MPS numerics
Exact diagonalization constructs a finite Hamiltonian matrix and extracts spectra and eigenstates with controlled algebraic accuracy. Hilbert-space dimension grows exponentially with site count, making symmetry reduction and sparse methods essential. Matrix product states use entanglement structure to access larger one-dimensional systems, but convergence in bond dimension does not replace thermodynamic finite-size analysis.
Many-Body Physics · Unit 12Advanced Physics
Research frontiers in many-body physics
Current frontiers in many-body physics include nonequilibrium phases, constrained dynamics, fracton order, unconventional superconductivity and analog quantum simulators. Meaningful progress requires a sharply stated Hamiltonian and observable, then a comparison among analytic limits, tensor-network predictions and experiment. Research labels such as 'nonergodic' or 'topological' require measurable diagnostics.
Mathematical Methods · Unit 1Foundations and Mathematical Physics
Mathematical reasoning for quantum models
Develop quantum models as explicit mathematical hypotheses, derive two-state predictions, and learn to distinguish proofs from numerical evidence.
Mathematical Methods · Unit 2Foundations and Mathematical Physics
Vectors, bases, and coordinate changes
Build a precise theory of complex vector spaces, orthonormal projections and unitary coordinate changes, with worked qubit examples.
Mathematical Methods · Unit 3Foundations and Mathematical Physics
Linear maps, matrices, and adjoints
Linearity makes superposition calculable: T(aψ+bφ)=aTψ+bTφ. An operator is not only a rectangle of numbers; a matrix represents it after choosing ordered bases. A map between spaces of different dimension may have a matrix that is not square, and nothing in the definition of linearity requires invertibility.
Mathematical Methods · Unit 4Foundations and Mathematical Physics
Eigenvalues, spectra, and observables
An energy eigenstate evolves by an overall phase when the Hamiltonian is time independent. For a superposition of different eigenvalues, relative phases evolve and generate interference. Spectral theory connects these statements to projectors, degeneracy, and experimental probabilities.
Mathematical Methods · Unit 5Foundations and Mathematical Physics
Hilbert spaces and orthonormal expansions
Wavefunctions inhabit spaces of functions, not merely vectors with a very large number of entries. For square-integrable functions, two functions that differ on a set of measure zero represent the same L² element. This is one reason quantum wavefunctions should not be treated solely as pointwise graphs.
Mathematical Methods · Unit 6Foundations and Mathematical Physics
Complex functions and analytic structure
A real-differentiable function of two real variables need not be holomorphic. Requiring the derivative to be independent of the complex direction of approach imposes coupled constraints on real and imaginary parts. These constraints explain why contour integrals carry so much information.
Mathematical Methods · Unit 7Foundations and Mathematical Physics
Contour integrals and residues
Residue calculus translates an integral around a closed contour into a sum of local coefficients at enclosed singularities. It does not absolve us from proving that the chosen contour is valid. For integrals on the real axis, contributions from closing arcs and any singularities on the axis require separate treatment.
Mathematical Methods · Unit 8Foundations and Mathematical Physics
Fourier series and transforms
A localized signal cannot be sharply concentrated in both position and spatial frequency. Fourier transform pairs make this statement quantitative and connect the mathematics of quantum momentum to the mathematics of waves, filters, and diffusion.
Mathematical Methods · Unit 9Foundations and Mathematical Physics
Green functions and differential operators
A Green function is the response to a unit point source under a specified differential operator and specified boundary conditions. Superposition then constructs the response to an extended source. This viewpoint unifies electrostatic potentials, quantum resolvents, heat kernels, and linear response.
Mathematical Methods · Unit 10Foundations and Mathematical Physics
Probability and stochastic processes
An experiment produces a distribution of outcomes, and a noisy device produces a distribution of histories. The mathematics of random variables, conditional expectation, and Markov processes distinguishes independent trials from correlated noise and separates stationary distributions from rapid equilibration.
Mathematical Methods · Unit 11Foundations and Mathematical Physics
Distributions and Dirac delta functions
Plane waves and point sources lead to objects that cannot be described as normalizable functions. Distributions resolve the issue by defining generalized functions through their action on smooth test functions. Their derivatives are defined by integration by parts, allowing discontinuities to produce delta terms.
Mathematical Methods · Unit 12Foundations and Mathematical Physics
Functional analysis bridge to quantum theory
In finite dimensions, a Hermitian matrix automatically defines a self-adjoint operator. On spaces of wavefunctions, differential operators are often unbounded. Their domains and boundary conditions are mathematically essential: merely writing a formally symmetric differential expression does not guarantee unique unitary evolution.
Quantum Chromodynamics · Unit 1Particle Physics
Color charge and SU(3)
Quarks carry color in the fundamental three-dimensional representation of SU(3). Color is an internal gauge charge and cannot be identified with literal colors of light. Physical hadrons are color singlets, while the theory's generators are eight traceless Hermitian matrices. Mesonic and baryonic color-singlet contractions differ in tensor structure.
Quantum Chromodynamics · Unit 2Particle Physics
Non-Abelian gauge fields
An SU(3) gauge connection has eight color components. Its field strength includes a commutator term that reflects the non-Abelian algebra. Local gauge transformations mix the color generators, while properly defined gauge-invariant observables remain unchanged. Covariant derivatives control how quark fields couple to the gauge connection.
Quantum Chromodynamics · Unit 3Particle Physics
Gluons and self-interaction
Gluons transform in the adjoint representation and interact through three- and four-gluon vertices, unlike Abelian photons. These self-interactions influence the sign of the beta function and nonperturbative flux behavior. A gluon is not an uncharged messenger in the color sense, although directly detecting an isolated free gluon is not a meaningful hadronic observable.
Quantum Chromodynamics · Unit 4Particle Physics
Quark fields and flavor
Quarks have flavor and color quantum numbers, while masses arise from Yukawa interactions in the Standard Model. The QCD Lagrangian includes a flavor sum of Dirac fields coupled to the same gauge connection. Approximate flavor symmetries organize hadron multiplets, but heavy and light quarks obey different useful expansion regimes.
Quantum Chromodynamics · Unit 5Particle Physics
Running coupling and asymptotic freedom
At sufficiently high momentum transfer, perturbative QCD is possible because the effective coupling decreases logarithmically with scale. The negative leading beta coefficient depends on gauge boson self-interaction and the number of active flavors. This is asymptotic freedom, not a statement that quarks never interact in high-energy collisions.
Quantum Chromodynamics · Unit 6Particle Physics
Confinement and hadron spectra
Confinement means isolated colored asymptotic states are absent from observed hadronic spectra. Wilson-loop behavior and lattice gauge theory provide important nonperturbative diagnostics, while chiral symmetry breaking helps explain light hadron structure. The QCD string tension is not the same as a literal narrow classical rubber band.
Quantum Chromodynamics · Unit 7Particle Physics
Parton model
The parton model describes hard scattering in terms of constituents carrying fractions x of hadron momentum. Parton distribution functions are process-independent only within a specified factorization scheme and scale. They evolve with momentum-transfer scale through perturbative equations, connecting measured structure to QCD dynamics.
Quantum Chromodynamics · Unit 8Particle Physics
Deep inelastic scattering
Deep inelastic scattering uses large spacelike momentum transfer to probe hadron structure. The structure functions depend on Bjorken x and Q², and scaling violations reveal QCD evolution. Kinematics, target-mass effects and higher-twist corrections must be controlled before comparing data to leading-order formulas.
Quantum Chromodynamics · Unit 9Particle Physics
Lattice QCD basics
Lattice QCD regulates spacetime on a Euclidean grid and estimates path integrals through statistical ensembles of gauge configurations. Continuum results require extrapolation as lattice spacing approaches zero, while finite-volume and quark-mass tuning introduce additional systematics. Monte Carlo sampling suffers from autocorrelation, and some regimes have severe sign problems.
Quantum Chromodynamics · Unit 10Particle Physics
Chiral symmetry and pions
Approximate chiral SU(N_f)_L×SU(N_f)_R symmetry arises for nearly massless light quarks and is spontaneously broken to a vector subgroup in the QCD vacuum. The resulting pseudo-Goldstone pions are light rather than exactly massless because quark masses explicitly break the symmetry.
Quantum Chromodynamics · Unit 11Particle Physics
Jets and collider observables
Hadronic jets are collimated products of energetic partons evolving and hadronizing through QCD radiation. Jet algorithms define infrared- and collinear-safe observables for meaningful theory comparison. Fragmentation, underlying event and detector response complicate the relation between partonic calculations and reconstructed jets.
Quantum Chromodynamics · Unit 12Particle Physics
QCD effective field theories
Effective theories isolate scales: heavy-quark effective theory expands around a heavy-quark mass, chiral perturbation theory treats low-energy Goldstone interactions, and soft-collinear effective theory organizes energetic jets. Matching determines Wilson coefficients, while power counting predicts omitted corrections.
Quantum Algorithms · Unit 1Quantum Computing
Circuit model and universal gates
The circuit model represents a computation as an ordered sequence of unitary gates followed by measurements. Single-qubit gates combined with an entangling two-qubit gate form universal sets under suitable approximation. Exact gate matrices depend on basis and global phase convention, and an apparently simple unitary may require a large decomposition on restricted hardware connectivity. Circuit depth, two-qubit gate count and fault-tolerant T count are distinct costs.
Quantum Algorithms · Unit 2Quantum Computing
Reversible computation and oracles
Classical Boolean logic often discards information, but embedding an oracle inside a quantum circuit requires a reversible map. The common bit oracle transforms |x,y> to |x,y⊕f(x)> and preserves orthogonality because it is a permutation of computational basis states. The function value can be transferred into phase by initializing the target in |->. Oracle queries are powerful abstractions but can hide substantial physical synthesis cost.
Quantum Algorithms · Unit 3Quantum Computing
Phase kickback and interference
Phase kickback is a controlled-operation phenomenon: when the target is an eigenstate of a unitary U, controlled-U writes the corresponding eigenphase into a relative phase on the control qubit. The global phase of the target becomes observable as a relative phase of the entangled control-path alternatives. This mechanism underlies many black-box algorithms and phase estimation; eigenvalue conventions must be tracked carefully.
Quantum Algorithms · Unit 4Quantum Computing
Quantum Fourier transform
The quantum Fourier transform maps computational basis vectors to discrete complex plane waves, using phases determined by modular arithmetic. Its efficient circuit factors into Hadamards and controlled rotations followed by a bit-order reversal. The QFT does not magically reveal all Fourier coefficients in a single measurement; it enables interference patterns that expose selected periodic or phase information when combined with a suitable promise problem.
Quantum Algorithms · Unit 5Quantum Computing
Phase estimation
Phase estimation uses controlled powers U^{2^j} acting on an eigenstate to encode an eigenphase in a control register. An inverse QFT produces an estimate of the phase to finite binary precision. Precision costs controlled evolution time and coherent resources; 'more bits' is not free. When the input is not one eigenstate, the outcome distribution samples the spectral weights of the superposition.
Quantum Algorithms · Unit 6Quantum Computing
Shor factoring
Shor's factoring algorithm reduces integer factorization to order finding for modular exponentiation. The quantum part estimates the periodicity of a function x↦a^x mod N; continued fractions recover a candidate order from a sufficiently precise phase estimate. The classical part checks gcd values and success conditions. Real resource estimates are dominated by fault-tolerant arithmetic, error correction, and logical qubit requirements, not just the high-level QFT circuit.
Quantum Algorithms · Unit 7Quantum Computing
Grover search
Grover's search operates in the two-dimensional space spanned by marked and unmarked uniform superpositions. Alternating an oracle phase flip with reflection about the initial state rotates the amplitude vector toward marked solutions. The query complexity scales as the square root of search-space size divided by the number of marked states, subject to oracle assumptions. Too many iterations can overshoot the optimal success probability.
Quantum Algorithms · Unit 8Quantum Computing
Hamiltonian simulation
Quantum Hamiltonian simulation aims to implement e^{-iHt} to controlled operator error. Product formulas exploit decomposition H=ΣH_j, while qubitization and block encoding produce alternative precision scaling under strong access models. Noncommuting terms lead to Trotter errors governed by nested commutators. A quantum simulation claim should specify normalization, time, error measure and how the Hamiltonian terms are accessed.
Quantum Algorithms · Unit 9Quantum Computing
Variational quantum eigensolver
The variational quantum eigensolver minimizes the energy expectation of a parameterized state prepared by a quantum circuit. The variational principle bounds the energy from below by the true ground energy only when the target Hermitian Hamiltonian and trial-state assumptions are satisfied. The optimizer is classical, but gradient estimation and noisy expectation values can dominate total cost. Ansatz expressivity does not guarantee efficient trainability.
Quantum Algorithms · Unit 10Quantum Computing
QAOA and hybrid optimization
QAOA alternates exponentials of a cost Hamiltonian and mixer for p layers. Its measured distribution yields candidate bit strings whose quality depends on parameters and problem structure. The cost Hamiltonian encodes a discrete objective, but constraints, penalties and normalization change the physical landscape. Approximation ratio, solution probability, shot cost, parameter-transfer performance and hardware runtime are distinct metrics.
Quantum Algorithms · Unit 11Quantum Computing
Amplitude estimation and sampling
Amplitude estimation aims to infer a small success probability more efficiently than direct independent Bernoulli sampling when coherent amplitude-amplification access is available. Canonical methods use phase estimation; iterative variants avoid deep QFT circuits but still require structured coherent oracle calls. Claims about quadratic speedup should compare like-for-like accuracy, confidence and cost of state preparation.
Quantum Algorithms · Unit 12Quantum Computing
Complexity, verification, and benchmarking
Complexity theory separates classes of computational tasks by resources and error conditions. BQP covers bounded-error uniform quantum polynomial-time computation; it is not the class of every optimization problem a QPU can sample. Complexity claims use formal reduction assumptions, and hardware benchmarks should measure total wall-clock resources, fidelity and reproducibility. A quantum circuit's depth alone cannot certify computational advantage.
Quantum Electrodynamics · Unit 1Particle Physics
Relativistic wave equations
Relativistic wave equations must reconcile quantum propagation with Lorentz invariance and energy positivity. The Klein–Gordon equation is second order, and a consistent one-particle probability interpretation is difficult. The Dirac equation is first order in time and naturally carries spin-half states, but full particle-antiparticle physics uses second quantization.
Quantum Electrodynamics · Unit 2Particle Physics
Dirac spinors and gamma matrices
Dirac spinors transform under Lorentz spinor representations rather than as ordinary four-vectors. Gamma matrices satisfy the Clifford anticommutation algebra, ensuring the squared Dirac operator reproduces relativistic dispersion. Positive- and negative-energy plane-wave solutions combine into quantized electron and positron fields.
Quantum Electrodynamics · Unit 3Particle Physics
Electromagnetic gauge symmetry
Local U(1) invariance requires replacing ∂mu with a covariant derivative Dmu=∂mu+ieA_mu in a consistent charge convention. The electromagnetic gauge field transforms to compensate local spinor phase rotations. Gauge invariance constrains allowed couplings and currents; it is a redundancy in description, not a direct measurable transformation.
Quantum Electrodynamics · Unit 4Particle Physics
Quantizing the electromagnetic field
The free electromagnetic field decomposes into photon modes with physical transverse polarizations after gauge constraints are handled. Canonical gauge-fixed quantization may temporarily introduce unphysical polarizations that cancel from observables. Photon number and field quadratures describe different measurements, and a coherent laser mode need not have a definite photon number.
Quantum Electrodynamics · Unit 5Particle Physics
Electron-photon vertex
The electron-photon vertex is fixed by the minimal-coupling interaction ψbarγ^mu A_muψ. It conserves charge and connects spinor currents to photon polarization. Its use in perturbation theory includes external spinor normalization, momentum conservation and gauge-invariant cancellation among diagrams.
Quantum Electrodynamics · Unit 6Particle Physics
Feynman rules and scattering amplitudes
Scattering amplitudes are expanded in powers of e; cross sections arise from squared amplitudes summed or averaged over appropriate spins and polarizations, integrated over Lorentz-invariant phase space. External particles are modeled as asymptotic states. Conservation laws constrain the kinematics before any matrix algebra is attempted.
Quantum Electrodynamics · Unit 7Particle Physics
Compton, Moller, and Bhabha processes
Compton scattering describes photon-electron scattering; Møller scattering involves two electrons; Bhabha scattering involves an electron and positron. The different external particles determine which diagram channels contribute and what exchange antisymmetry signs appear. Relativistic kinematics and flux factors cannot be reused indiscriminately among these processes.
Quantum Electrodynamics · Unit 8Particle Physics
Ward identities
Ward–Takahashi identities link vertex and propagator corrections through gauge symmetry. Contracting an on-shell photon amplitude with its momentum should enforce decoupling of unphysical longitudinal polarizations. These identities constrain renormalization factors and provide strong checks on symbolic perturbation calculations.
Quantum Electrodynamics · Unit 9Particle Physics
Loops and vacuum polarization
Virtual charged particles contribute loop corrections to photon propagation, producing vacuum polarization. Ultraviolet divergences require regularization and renormalization; gauge symmetry constrains the tensor structure. Low-energy polarization of the quantum vacuum is not the same as a classical dielectric permittivity without identifying the response regime.
Quantum Electrodynamics · Unit 10Particle Physics
Renormalization and running alpha
Renormalization relates measured electric charge to a scale-dependent effective coupling. QED's coupling increases slowly with energy in perturbation theory due to charged vacuum fluctuations. The running depends on active charged species and renormalization scheme, while low-energy precision predictions combine multiple diagram orders.
Quantum Electrodynamics · Unit 11Particle Physics
Precision tests of QED
Precision QED connects loop calculations with anomalous magnetic moments, Lamb shifts and scattering measurements. Confronting theory with data requires bound-state effects, hadronic contributions and propagated constant uncertainties where relevant. Agreement at extraordinary precision is a composite achievement of theory, metrology and error accounting.
Quantum Electrodynamics · Unit 12Particle Physics
QED in materials, cavities, and quantum optics
Cavity QED and circuit QED enhance light-matter interaction through confinement of electromagnetic modes. The Jaynes–Cummings model captures a rotating-wave-coupled two-level system and one oscillator mode, leading to vacuum Rabi splitting and excitation exchange under appropriate approximations.
Quantum Noise & Control · Unit 1Quantum Computing
Open-system reduction, dynamical maps and operational CPTP tests
Derive a physical noise channel from joint unitary system-environment evolution and a reduced partial trace. A fixed product environment state yields a linear completely positive trace-preserving map. Initial correlations break the premise of a single universal reduced channel across arbitrary hypothetical preparations, so record the preparation intervention before fitting a process matrix. The distinction between a phenomenological fit and a microscopic model is central to quantitative control.
Quantum Noise & Control · Unit 2Quantum Computing
Coherent overrotations, stochastic noise and leakage
Calibration errors can be coherent rotations rather than stochastic jumps. Pauli twirling removes off-diagonal transfer-matrix components and often yields an operationally convenient surrogate, but it cannot prove that real errors accumulate stochastically. A small coherent angle may have quadratic average infidelity and linear worst-case diamond distance, producing different failure trends across repeated gates.
Quantum Noise & Control · Unit 3Quantum Computing
Microscopic bath coupling, Redfield models and Lindblad generators
Microscopic reduced dynamics begins with a Hamiltonian containing system, bath and interaction terms. Weak coupling, decay of bath correlations, rotating-wave or secular approximations and time-scale separation support Markovian master-equation approximations. Different approximation orders lead to Redfield or Gorini–Kossakowski–Sudarshan–Lindblad generators, which can predict different behavior near spectral degeneracies.
Quantum Noise & Control · Unit 4Quantum Computing
Non-Markovian memory, process tensors and CP divisibility
A process with correlated environment memory cannot in general be characterized by fitting one CPTP channel at each time and extrapolating it to arbitrary control sequences. The operational process tensor represents multi-time conditional probabilities given specified interventions. It separates a bath's memory from apparent drift created by measurement instability or by uncontrolled preparation correlations.
Quantum Noise & Control · Unit 5Quantum Computing
Noise power spectra, Ramsey dephasing and coherence spectroscopy
Dephasing spectroscopy relates a fluctuating qubit frequency to measured phase variance. For Gaussian stationary noise, a filter function describes how a pulse sequence weights the environment's spectral density. For non-Gaussian telegraph fluctuations or drifting calibration parameters, a second-order power spectrum can be insufficient to predict coherence.
Quantum Noise & Control · Unit 6Quantum Computing
Dynamical decoupling, finite pulses and filter-function optimization
Dynamical decoupling suppresses selected environmental couplings by driving the toggling-frame interaction through sign changes. Echo, Carr–Purcell and Uhrig-style timings have different filter structures and assumptions. Ideal delta-function pi pulses eliminate certain low-frequency terms, but finite-width pulses suffer control errors, leakage and pulse-induced heating.
Quantum Noise & Control · Unit 7Quantum Computing
Rotating-frame Hamiltonians, pulse envelopes and Bloch–Siegert corrections
A microwave control pulse couples to a qubit through an oscillating drive whose amplitude, frequency and phase determine a desired rotation. A rotating frame exposes the detuning and transverse drive; the rotating-wave approximation neglects counterrotating motion only when drive strengths and detunings remain small compared with the carrier frequency. Outside that hierarchy the Bloch–Siegert shift and leakage can create coherent calibration errors.
Quantum Noise & Control · Unit 8Quantum Computing
Composite pulses, robust optimal control and GRAPE gradients
Composite rotations exploit noncommuting axes so that selected calibration errors cancel across a designed sequence. GRAPE and other optimal-control methods instead optimize a discretized pulse waveform against a target unitary or channel, often through forward and backward propagations. Control constraints are part of the physics: amplitude bounds, minimum rise time, filtering, drift and hardware sampling all limit feasible solutions.
Quantum Noise & Control · Unit 9Quantum Computing
Randomized benchmarking, gate-set tomography and coherent-error detection
Randomized benchmarking estimates average error parameters from decay curves under assumptions about Markovian gate noise, the randomizing group and state-preparation and measurement behavior. The fitted parameter is not a direct image of every physical error channel. Gate-dependent noise, coherent drift and leakage can distort an exponential model and invalidate naive conversion to per-gate infidelity.
Quantum Noise & Control · Unit 10Quantum Computing
Measurement backaction, dispersive readout and calibration drift
Qubit readout is an interaction with a physical meter, not a preexisting bit copied without disturbance. An ideal POVM provides outcome probabilities, while an instrument specifies conditional state transformations. In dispersive superconducting readout, resonator frequency shifts encode qubit state into an emitted microwave field; integrating and classifying that field introduces assignment error, measurement-induced dephasing and possible state transitions.
Quantum Noise & Control · Unit 11Quantum Computing
Closed-loop stabilization, Kalman filtering and quantum trajectory control
Real-time quantum control uses a measurement record to adapt drive frequency, pulse phase or dissipative feedback. A classical filter may estimate hidden detuning from noisy Ramsey shots, while a quantum filter propagates a conditional state under measurement backaction. The two are related only when the measurement and hidden-state assumptions are carefully matched.
Quantum Noise & Control · Unit 12Quantum Computing
Decoherence-free subspaces, reservoir engineering and control research
A decoherence-free subspace exploits symmetry of environment coupling: selected code states experience the same noise operator action, so their relative coherence is preserved under that interaction. This is different from generic error correction because no repeated syndrome measurement is required in the ideal symmetry limit. Real devices have imperfect collective coupling and symmetry-breaking residual noise.
Quantum Field Theory · Unit 1Advanced Physics
Why fields are necessary
A relativistic theory with creation and annihilation of excitations cannot be formulated as a fixed-number nonrelativistic wavefunction alone. Quantum fields are operator-valued distributions whose excitations carry particle quantum numbers. Causality, Lorentz covariance, locality and the spectral condition constrain their commutators and correlations.
Quantum Field Theory · Unit 2Advanced Physics
Classical field theory and actions
A classical action S=∫d⁴x L(φ,∂φ) determines Euler–Lagrange equations under variations that vanish suitably on boundaries. Spacetime symmetries lead through Noether's theorem to conserved currents when the action is invariant. Surface terms can affect charges and boundary conditions even when they do not change bulk field equations.
Quantum Field Theory · Unit 3Advanced Physics
Canonical quantization of scalar fields
Canonical quantization promotes a scalar field and its conjugate momentum to operators satisfying equal-time commutation relations. Fourier mode expansion expresses a free field as a continuum of oscillators labeled by momentum. Their creation operators build multiparticle Fock states. The Klein–Gordon equation allows both positive- and negative-frequency modes, with the appropriate relativistic field interpretation.
Quantum Field Theory · Unit 4Advanced Physics
Fermionic fields and spin-statistics
A fermionic spinor field satisfies anticommutation relations rather than bosonic commutators. Dirac gamma matrices represent the Clifford algebra compatible with Minkowski spacetime, and the spin-statistics theorem connects spin to exchange behavior under specific locality and positivity assumptions. Antiparticles emerge naturally in relativistic field quantization.
Quantum Field Theory · Unit 5Advanced Physics
Path integrals
The path-integral formulation describes transition amplitudes through an oscillatory functional integral weighted by e^{iS/ℏ}. Gaussian path integrals reproduce free-field propagators. Interactions can be treated perturbatively by expanding the exponential, but an infinite-dimensional oscillatory integral requires a regulator or a careful definition. Wick rotation to Euclidean signature improves many mathematical properties under appropriate conditions.
Quantum Field Theory · Unit 6Advanced Physics
Propagators and Green functions
The time-ordered two-point function is the Feynman propagator, encoding amplitudes and causal boundary prescriptions rather than a classical deterministic trajectory. For a free scalar field, its momentum-space denominator contains the mass shell and an iε instruction. Retarded propagators instead express causal response to sources; interchanging their prescriptions changes the physics.
Quantum Field Theory · Unit 7Advanced Physics
Perturbation theory and Feynman rules
The Dyson expansion generates perturbative scattering amplitudes ordered by interaction insertions. Wick's theorem contracts free fields and organizes terms as Feynman diagrams. Each diagram corresponds to a specified integral and symmetry factor, not a miniature photograph of real particle trajectories. The S-matrix requires a model of asymptotic scattering states.
Quantum Field Theory · Unit 8Advanced Physics
Symmetries and Noether currents
Noether currents follow from continuous global action symmetries, while gauge redundancies express local descriptive freedom. Spontaneously broken global symmetries can support Goldstone modes under suitable conditions. Quantum anomalies occur when regularization obstructs a classical symmetry. Gauge redundancy must not be confused with a physical global symmetry transformation.
Quantum Field Theory · Unit 9Advanced Physics
Gauge fields
A gauge field A_mu enters matter dynamics through a covariant derivative and transforms with the local gauge convention. Non-Abelian field strength includes commutators and gauge boson self-interactions. Fixing gauge removes redundancy from perturbative calculations; BRST or related methods organize consistency. Observables must not depend on arbitrary gauge-fixing choices.
Quantum Field Theory · Unit 10Advanced Physics
Renormalization
Loop integrals often diverge before regularization. Renormalization introduces scale-dependent parameters and counterterms constrained by symmetries, relating bare model symbols to measured quantities. Running couplings encode dependence on the chosen scale and scheme. A renormalized prediction must be independent of the arbitrary intermediate scale to the stated perturbative order.
Quantum Field Theory · Unit 11Advanced Physics
Effective field theory
Effective field theory organizes all interactions compatible with symmetries in an expansion suppressed by a high-energy scale. Operators of higher mass dimension are weighted by powers of that scale, and low-energy predictions gain controlled uncertainty when a separation of scales exists. Matching connects coefficients to the UV model or experiment.
Quantum Field Theory · Unit 12Advanced Physics
QFT in condensed matter and quantum simulation
Field-theoretic methods also describe collective excitations, response functions and phase transitions in condensed matter. A quasiparticle field need not represent a fundamental particle of nature; it may emerge from a many-body effective theory. Renormalization-group fixed points explain universal critical scaling, while lattice and continuum descriptions can match at long wavelengths.
Quantum Information · Unit 1Quantum Information
Qubits and the Bloch sphere
Qubits are rays, not tiny classical switches. A normalized state in C² is determined physically by two real Bloch coordinates once global phase is removed. A spin measurement along unit axis n has effects (I±n·σ)/2, so outcome probabilities depend on the projection of the Bloch vector onto that axis. The poles of the Bloch sphere represent Z eigenstates; other points represent genuine superpositions relative to Z.
Quantum Information · Unit 2Quantum Information
Tensor products and composite systems
Two registers combine through a tensor product, which multiplies Hilbert-space dimensions. The ordered basis |00>, |01>, |10>, |11> spans two qubits; most vectors in this space do not factor into individual qubit states. Local transformations have form U_A⊗I_B and I_A⊗U_B, while genuinely entangling operations cannot be decomposed this way. The ordering convention matters when constructing Kronecker products and partial traces.
Quantum Information · Unit 3Quantum Information
Entanglement and Schmidt decomposition
Schmidt decomposition writes any bipartite pure vector as a sum of orthogonal product terms with nonnegative coefficients. The number of nonzero coefficients is the Schmidt rank. A pure state is separable exactly when that rank is one. For a Bell pair, both coefficients are 1/sqrt(2), and either marginal is maximally mixed. This bridges singular-value decomposition and entanglement without dependence on a particular computational basis.
Quantum Information · Unit 4Quantum Information
Density matrices and mixed states
A density operator is positive semidefinite, Hermitian, and trace one. It represents both proper classical mixing of preparations and the operational state of a subsystem after inaccessible degrees of freedom are traced out. Ensembles of distinct pure states can give the same density matrix, so an ensemble decomposition is not a directly observable property of the operator. Purity Tr(rho²) distinguishes an ideal pure state from mixtures but does not identify why the mixing arose.
Quantum Information · Unit 5Quantum Information
Measurements and quantum channels
A generalized measurement is a family of positive effects E_a summing to the identity. A quantum channel is a completely positive trace-preserving linear map whose Kraus operators satisfy a completeness relation. The POVM determines outcome probabilities; the associated measurement instrument determines back-action. Channels describe physical state transitions, and not every merely positive map remains positive when tensored with an untouched reference system.
Quantum Information · Unit 6Quantum Information
Entropy and information measures
Von Neumann entropy depends only on the eigenvalues of the density operator. It reduces to Shannon entropy for diagonal classical mixtures and equals zero for pure states. Relative entropy compares distinguishability of states, but its support condition matters when one state has zero eigenvalues. Conditional entropy in quantum information may be negative, unlike its classical counterpart, and that reflects quantum correlations rather than a negative number of physical bits.
Quantum Information · Unit 7Quantum Information
Bell inequalities and CHSH tests
The CHSH expression combines correlations from two independently chosen settings at each laboratory. Any local hidden-variable model satisfying the relevant measurement-independence and outcome assumptions obeys an absolute value at most two. A maximally entangled two-qubit state with suitable measurement axes reaches 2sqrt(2). The theorem does not predict a violation for every entangled state or every choice of axes; experimental statements require a precise sampling and loophole analysis.
Quantum Information · Unit 8Quantum Information
No-cloning and quantum teleportation
The no-cloning theorem prohibits a single linear physical operation from copying an arbitrary unknown pure state while leaving it intact. Assume U|psi>|0>=|psi>|psi> and similarly for |phi>. Preservation of inner products would require <psi|phi>=<psi|phi>², impossible for generic distinct nonorthogonal states. Teleportation instead transfers an unknown state using prior entanglement, a Bell measurement, two classical bits, and a conditional correction. It consumes the original localized input state.
Quantum Information · Unit 9Quantum Information
Superdense coding and quantum key distribution
Superdense coding exploits a previously distributed Bell pair: applying one of four local Pauli operators generates four orthogonal Bell states, and sending one qubit allows a receiver to distinguish two classical bits when a full Bell measurement is available. Quantum key distribution, such as BB84, instead uses nonorthogonal preparation and basis reconciliation to detect certain adversarial disturbances under an explicit security model. These are different information tasks despite sharing qubit gates.
Quantum Information · Unit 10Quantum Information
Resource theories and monotones
Resource theories begin by specifying which operations are considered free. Entanglement theory often treats local operations and classical communication as free and asks how many singlets are required or distillable under these constraints. Monotones cannot increase under free operations on average. Different resources, such as coherence, magic, asymmetry and thermodynamic athermality, require different free sets and measures.
Quantum Information · Unit 11Quantum Information
Quantum networks and repeaters
Quantum network protocols must account for channel loss, finite memory lifetime, entanglement-generation probability, swapping fidelity and classical communication delay. Entanglement swapping correlates remote qubits through a Bell measurement on intermediate systems, but it neither eliminates exponential fiber attenuation automatically nor makes classical messages irrelevant. Repeaters improve scaling by segmenting channels, purifying states or using error correction, at the price of substantial hardware overhead.
Quantum Information · Unit 12Quantum Information
Reading quantum information papers
A quantum information paper should be read by identifying its exact task, resource assumptions and error metric. Distinguish theorem claims from numerical evidence; look for an explicit model of noise, input ensemble, allowed operations and complexity scaling. In channel-discrimination research, diamond norm captures ancillary-assisted distinguishability and differs from an ordinary matrix norm. In algorithm papers, query complexity is not identical to full physical runtime.
Quantum Materials · Unit 1Advanced Physics
Crystal lattices and symmetry
Crystal symmetry acts through translations and point-group operations on atomic arrangements. A primitive cell generates the periodic lattice; a basis specifies additional atoms inside it. A material's space group constrains band degeneracies, selection rules and phonon modes. Defects and surfaces break some bulk symmetries locally.
Quantum Materials · Unit 2Advanced Physics
Reciprocal lattice and Brillouin zones
Reciprocal lattice vectors satisfy a_i·b_j=2πδij, and the Brillouin zone is a primitive cell in reciprocal space. Diffraction selects momentum transfers equal to reciprocal vectors, linking abstract lattice geometry to experimental scattering peaks.
Quantum Materials · Unit 3Advanced Physics
Bloch theorem
Bloch's theorem states that eigenfunctions of a single-particle Hamiltonian with periodic potential can be written e^{ik·r}u_nk(r), with u periodic under lattice translations. This separates crystal momentum from cell-periodic orbital structure and enables band calculations.
Quantum Materials · Unit 4Advanced Physics
Band structure
Electronic bands arise from eigenvalues of a periodic single-particle or quasiparticle Hamiltonian across crystal momentum. Whether a material conducts depends on chemical potential, temperature, scattering and available states, not merely a colorful band plot. Effective masses depend on band curvature near an extremum.
Quantum Materials · Unit 5Advanced Physics
Tight-binding models
Tight-binding models project electronic states onto localized orbitals and encode hopping, onsite energies and symmetries in a finite matrix H(k). They provide transparent limiting cases and control over lattice geometry. Long-range hopping and spin–orbit coupling can change gaps and topological invariants.
Quantum Materials · Unit 6Advanced Physics
Phonons and quasiparticles
Phonons are quantized normal modes of lattice vibration; quasiparticles more broadly describe collective excitations with effective dispersion and lifetime. The dynamical matrix determines harmonic phonon frequencies. Anharmonicity causes scattering and finite lifetime, while electron-phonon coupling can influence resistivity and superconductivity.
Quantum Materials · Unit 7Advanced Physics
Correlated materials and Mott physics
A Mott insulator is insulating because strong interactions can localize charge even when noninteracting band counting suggests a metal. Competition between hopping bandwidth and onsite repulsion controls many correlated lattice models. Magnetic order and orbital physics complicate the phase diagram.
Quantum Materials · Unit 8Advanced Physics
Topological insulators
Topological insulators have insulating bulk states with boundary modes protected under stated symmetries and gap conditions. Berry phases, Chern invariants and Z2 indices classify relevant band structures. Disorder or interactions may require many-body descriptions beyond an elementary noninteracting Bloch calculation.
Quantum Materials · Unit 9Advanced Physics
Superconductivity
Superconductivity combines zero-resistance current response with phase coherence and magnetic effects. In BCS-type descriptions, paired fermions open an excitation gap and form a coherent condensate. Strongly correlated or unconventional superconductors may require pairing symmetries and mechanisms beyond phonon-mediated weak coupling.
Quantum Materials · Unit 10Advanced Physics
Two-dimensional and moire systems
Two-dimensional materials and moiré superlattices create narrow bands and tunable interactions through stacking angle, lattice relaxation and electrostatic control. The large moiré length scale can amplify correlation effects, but quantitative phase diagrams require device-specific disorder, strain, screening and twist-angle calibration.
Quantum Materials · Unit 11Advanced Physics
Defects and quantum emitters
Point defects, color centers and localized excitons can serve as optical quantum emitters with spin or orbital degrees of freedom. Optical brightness, spectral diffusion, photon indistinguishability and spin coherence depend strongly on the local crystalline and electromagnetic environment.
Quantum Materials · Unit 12Advanced Physics
Materials for qubits and quantum sensors
Materials for quantum devices are selected against thermal, microwave, dielectric, magnetic and fabrication constraints. Superconducting circuits need low-loss surfaces and stable Josephson junction interfaces, while spin qubits emphasize isotope disorder and electrostatic control. Cryogenic packaging and reproducible process characterization can dominate performance.
Quantum Mechanics · Unit 1Core Physics
Introduction to Quantum Physics: Experiments, States, and Probability
Begin from the physical evidence that classical models fail, learn the indispensable mathematics of amplitudes and measurement, and build an experimentally meaningful model of a two-path quantum system.
Quantum Mechanics · Unit 2Core Physics
Wavefunctions, normalization, and probability current
Construct position-space quantum states from the Born density and normalization, then derive probability flow and the meaning of wavepacket width.
Quantum Mechanics · Unit 3Core Physics
Linear operators, observables, and commutator algebra
Relate experimental questions to Hermitian operators, eigenvalues, basis changes, and commutators without assuming all observables can share definite values.
Quantum Mechanics · Unit 4Core Physics
Time evolution, propagators, and quantum control
Derive unitary time evolution from the Hamiltonian and solve exactly for stationary energies and a two-level example.
Quantum Mechanics · Unit 5Core Physics
Projective measurement, generalized measurements, and uncertainty
Develop projective measurements and generalized instruments from first principles, then distinguish quantum uncertainty, measurement disturbance, and experimental imprecision.
Quantum Mechanics · Unit 6Core Physics
Finite wells, bound states, scattering, and tunneling
Solve confined states and scattering in one dimension using Schrödinger boundary conditions, matching, quantization and conserved probability current.
Quantum Mechanics · Unit 7Core Physics
The harmonic oscillator: wavefunctions and ladder algebra
Derive the oscillator spectrum algebraically, normalize the Fock states, and compare energy eigenstates with coherent superpositions.
Quantum Mechanics · Unit 8Core Physics
Angular momentum, rotations, and spin
Introduce orbital and intrinsic angular momentum as generators of rotations and compute spin-one-half measurements and rotations.
Quantum Mechanics · Unit 9Core Physics
Tensor products and addition of angular momentum
Develop tensor-product spins, total-angular-momentum eigenstates, Clebsch–Gordan coefficients and singlet–triplet physics.
Quantum Mechanics · Unit 10Core Physics
Identical particles, exchange symmetry, and quantum statistics
Construct bosonic and fermionic two-particle states, derive Pauli exclusion and distinguish exchange symmetry from interactions.
Quantum Mechanics · Unit 11Core Physics
Approximation theory: perturbations, WKB, and time-dependent transitions
Derive perturbative energy shifts, explain degenerate-state handling, and compare variational and semiclassical approximations.
Quantum Mechanics · Unit 12Core Physics
Density matrices, decoherence, open dynamics, and quantum foundations
Distinguish empirical quantum predictions from interpretations, derive reduced-state dephasing and assess claims about measurement and emergence of classical behavior.
Research Methods · Unit 1Research Practice
Building a literature map
A literature map begins with the research question and separates seminal results, current benchmarks, contrary evidence, independent replications and review papers. Citation counts alone do not determine validity. Query strategies should use multiple terms and follow backwards/forwards references, recording exact papers and their limitations.
Research Methods · Unit 2Research Practice
Reading papers without getting lost
Read a paper by identifying its precise theorem, model, experimental method, dataset or benchmark, then trace notation into the main conclusion. Skimming the abstract is not enough to assess error models or extrapolations. A useful reading record states the strongest valid claim and the assumptions under which it holds.
Research Methods · Unit 3Research Practice
Reproducing derivations
Reproducing a derivation requires reconstructing steps, units, operator domains and mathematical conventions. Restate a key theorem independently, prove it in a minimal example and identify a nearby counterexample when hypotheses fail. This distinguishes learning from rearranging published algebra.
Research Methods · Unit 4Research Practice
Computational reproducibility
A reproducible numerical result records code version, package environment, random seeds, input configuration, hardware if relevant and expected output tests. Separate computational reproducibility from scientific replicability, which may require a different apparatus or independent implementation.
Research Methods · Unit 5Research Practice
Numerical simulation design
Simulation design starts with the physical model, controlled parameter regime and the numerical discretization. Conservation laws, symmetry sectors and known limits provide better checks than visually plausible trajectories. Plan computational cost before sweeping arbitrary multidimensional grids.
Research Methods · Unit 6Research Practice
Lattice simulations conceptually
Finite lattice approximations replace an infinite theory by tractable matrix or Monte Carlo models. Boundary conditions can create spurious states and change the topology of configuration space. Extrapolating system size requires observable-specific scaling and estimates of truncation and statistical error.
Research Methods · Unit 7Research Practice
Connecting theory to experiment
A theory-to-experiment comparison must specify instrument response, calibration, noise, nuisance parameters, sample selection and observational uncertainty. Predicted ideal quantities may differ from measured readout counts after detector convolution. The model should state which measurements could falsify it.
Research Methods · Unit 8Research Practice
Research notebooks and Overleaf workflow
A research notebook should distinguish explanatory prose, source code, derived results and machine configuration. LaTeX source documents should compile reliably, store equations as semantic source and include bibliographic identifiers. Archiving a static PDF without reproducible code may impede later corrections.
Research Methods · Unit 9Research Practice
Data, uncertainty, and honest plots
Plots need explicit axes, units, uncertainty estimates and clear distinctions between simulation and empirical data. Logarithmic scales, normalized ratios and color maps can mislead without limits and conventions. A claim about a statistically significant difference requires an appropriate comparison test or confidence interval.
Research Methods · Unit 10Research Practice
Ethics and scientific claims
Scientific ethics includes accurate source citation, author contribution, consent where relevant and preservation of negative results or failed qualification gates. AI assistance cannot replace human responsibility for verifiable results. Separate predictions from demonstrations and do not present conceptual diagrams as experimental images.
Research Methods · Unit 11Research Practice
Preprints, peer review, and revision
Preprints establish a public versioned record but do not automatically carry peer-review endorsement. Peer review tests clarity and soundness without guaranteeing correctness or novelty. Revision should respond to substantive methodological critiques and retain a traceable history of changed claims.
Research Methods · Unit 12Research Practice
Capstone proposal studio
A capstone research proposal should pose a falsifiable question, characterize competing baselines, identify data or computational resources, budget time, and declare stop criteria. The scope should be narrow enough to yield a finished result with clear uncertainty and limitations rather than a giant list of unrelated frontier topics.
Relativistic Quantum Theory · Unit 1Advanced Physics
Lorentz and Poincare symmetry
The Lorentz group preserves the Minkowski interval; Poincaré symmetry also includes spacetime translations. Irreducible positive-energy unitary representations characterize relativistic particle states by mass and spin or helicity. Representation labels belong to the physical Hilbert space, whereas coordinates are observer choices.
Relativistic Quantum Theory · Unit 2Advanced Physics
Spinor representations
Lorentz spinors transform under representations of the double cover of the proper orthochronous Lorentz group. A four-component Dirac spinor combines inequivalent Weyl representations; mass terms mix chiralities. The spinor representation is not the ordinary four-vector representation, even though bilinears form Lorentz tensors.
Relativistic Quantum Theory · Unit 3Advanced Physics
Weyl equations
The Weyl equation describes massless chiral spin-half fields in two-component language. For massless on-shell particles, helicity and chirality are closely connected under the standard positive-energy identification; they are not generally interchangeable for massive particles. Weyl semimetals realize effective low-energy band crossings with related algebra but different microscopic symmetries.
Relativistic Quantum Theory · Unit 4Advanced Physics
Dirac equation
The Dirac equation linearizes relativistic dispersion using gamma matrices satisfying the Clifford algebra. Its conserved current gives a consistent probability/charge interpretation within field theory. Positive and negative frequency solutions are reinterpreted through antiparticle creation operators after second quantization.
Relativistic Quantum Theory · Unit 5Advanced Physics
Majorana fermions
Majorana spinors obey a reality condition up to charge-conjugation conventions and describe neutral fermionic degrees of freedom under suitable representations. In superconductors, Majorana zero modes emerge as self-conjugate Bogoliubov quasiparticle operators, a related algebraic property without necessarily being elementary Majorana particles.
Relativistic Quantum Theory · Unit 6Advanced Physics
Clifford algebras and gamma matrices
Clifford algebras are generated by elements whose anticommutator is fixed by a quadratic form. Gamma matrices provide a concrete representation for Lorentzian metrics and organize spinor bilinears and projection operators. Different matrix bases yield equivalent physics after suitable similarity transformations.
Relativistic Quantum Theory · Unit 7Advanced Physics
Relativistic scattering kinematics
Lorentz-invariant scattering uses four-momenta constrained to mass shells and conservation laws. Mandelstam variables s,t,u simplify 2-to-2 kinematics and crossing relations. Physical cross sections require incoming flux normalization, final-state phase space and treatment of identical particles.
Relativistic Quantum Theory · Unit 8Advanced Physics
Twistors and geometric spinors
Twistors encode spacetime and null geometric relations using complex projective structures. Spinor-helicity variables factorize lightlike four-momenta into two-component spinors and simplify gauge-theory amplitudes. Their utility follows from Lorentz representations and massless on-shell kinematics, not from an automatic replacement of ordinary quantum theory.
Relativistic Quantum Theory · Unit 9Advanced Physics
Instantons and monopoles
Instantons are finite-action Euclidean solutions contributing nonperturbative sectors, while magnetic monopoles carry topological magnetic charge in appropriate gauge-Higgs theories. Their classification often involves homotopy groups of vacuum manifolds, but instanton number and monopole winding are different invariants.
Relativistic Quantum Theory · Unit 10Advanced Physics
Anomalies
Quantum anomalies occur when a classical symmetry fails under regularization of the quantum theory. A chiral anomaly is related to gauge fields and spectral flow, and anomaly cancellation is necessary for consistency of gauged symmetries. Boundary modes may compensate anomalies through inflow from a higher-dimensional bulk.
Relativistic Quantum Theory · Unit 11Advanced Physics
Topological terms
Theta terms, Chern–Simons terms and related topological actions capture global field configuration information. Their quantization and symmetry properties depend on dimension, manifold topology and boundary terms. Observable response can emerge from a term that is a total derivative in a local coordinate description.
Relativistic Quantum Theory · Unit 12Advanced Physics
Geometric approaches to quantum field theory
Geometric approaches to field theory organize gauge connections, characteristic classes and spin structures on manifolds. Spin structure choices can change fermionic boundary conditions and spectra. Quantum-gravity-motivated geometric proposals should be separated from established predictions of gauge theories on fixed backgrounds.
Topology in Condensed Matter · Unit 1Open Courses
Background, topology and toy models
Original TU Delft TOPOCMx lectures: Brief review of band structures; About this course; Hamiltonians, topology, and symmetry; Bulk-edge correspondence in the Kitaev chain; Topics for self-study
Topology in Condensed Matter · Unit 2Open Courses
Majorana nanowires, experimental signatures and braiding
Original TU Delft TOPOCMx lectures: Why Majoranas are cool: braiding and quantum computation; From Kitaev chain to a nanowire; Majorana signatures: 4π-periodic Josephson effect, Andreev conductance quantization; Topics for self-study
Topology in Condensed Matter · Unit 3Open Courses
Charge pumping and the quantum Hall effect
Original TU Delft TOPOCMx lectures: Quantum Hall effect: pumping electrons in Landau levels; Thouless pumps and winding invariant; Quantum Hall effect: edge states; Topics for self-study
Topology in Condensed Matter · Unit 4Open Courses
Chern insulators and the Haldane model
Original TU Delft TOPOCMx lectures: Haldane model, Berry curvature, and Chern number; Quantum Hall Effect on the lattice and Dirac Hamiltonian; Topics for self-study
Topology in Condensed Matter · Unit 5Open Courses
The quantum spin Hall effect
Original TU Delft TOPOCMx lectures: Time-reversal symmetry and fermion parity pumps; Experimental progress and candidate materials; Topics for self-study
Topology in Condensed Matter · Unit 6Open Courses
Three-dimensional topological insulators
Original TU Delft TOPOCMx lectures: Experimental progress and candidate materials; Dirac equation of the surface states, 3D Bernevig-Hughes-Zhang model; Topics for self-study
Topology in Condensed Matter · Unit 7Open Courses
Topological defects and Majorana bound states
Original TU Delft TOPOCMx lectures: Crystalline defects in weak topological insulators; Majoranas in topological insulators and superconductors; Topics for self-study
Topology in Condensed Matter · Unit 8Open Courses
The periodic table and classification of topological phases
Original TU Delft TOPOCMx lectures: 10 symmetry classes and the periodic table of topological insulators; Different approaches to topological invariants; Topics for self-study
Topology in Condensed Matter · Unit 9Open Courses
Anderson localization, disorder and topology
Original TU Delft TOPOCMx lectures: Disorder and the scaling theory of localization; Flow diagram of topological insulators; Topics for self-study
Topology in Condensed Matter · Unit 10Open Courses
Topological semimetals and mechanics
Original TU Delft TOPOCMx lectures: Topology in gapless systems; Topological mechanics; Topics for self-study
Topology in Condensed Matter · Unit 11Open Courses
Floquet and crystalline topological extensions
Original TU Delft TOPOCMx lectures: Crystalline topological insulators; Floquet topological insulators; Topics for self-study
Topology in Condensed Matter · Unit 12Open Courses
Fractional quantum Hall, topological order and appendices
Original TU Delft TOPOCMx lectures: Fractional quantum Hall effect and topological particles; Topological order and the toric code; Tight-binding models in a magnetic field: Peierls substitution; Additional notes on computing Chern number; Topics for self-study
Quantum Error Correction · Unit 1Quantum Computing
Information protection, error algebras and Knill–Laflamme
Quantum error correction protects a subspace of quantum information against a specified span of physical error operators, not against an unconstrained list of informal 'bit flips'. Start with an encoding isometry from a logical Hilbert space into n physical qubits and a projector onto the resulting codespace. The distinction between detecting an error, identifying its operator representative and recovering its logical action is central: a syndrome may be sufficient for a correctable coset without revealing an individual physical fault.
Quantum Error Correction · Unit 2Quantum Computing
Quantum repetition, Shor nine-qubit code and syndrome circuits
The repetition construction corrects X errors only, while Hadamard conjugation exchanges X and Z. Shor's nine-qubit code combines nested repetition structures to protect arbitrary single-qubit Pauli errors. Rather than memorizing its codewords, reconstruct the stabilizer generators and logical operators, then verify the distance and each syndrome response. Explicit recovery channels reveal why measuring a syndrome need not measure a logical amplitude.
Quantum Error Correction · Unit 3Quantum Computing
Binary symplectic Pauli formalism and stabilizer normalizers
Modulo irrelevant phases, an n-qubit Pauli operator is represented by two binary vectors. The first records X support; the second records Z support; simultaneous bits describe Y up to a phase. Pauli commutation becomes a symplectic bilinear form over the binary field. This representation turns code construction into finite-dimensional linear algebra and makes machine-checkable commutativity constraints possible.
Quantum Error Correction · Unit 4Quantum Computing
CSS codes, classical parity check matrices and the Steane construction
CSS quantum codes are built from two classical binary codes with compatible parity checks. The central constraint is orthogonality of X and Z check spaces, which guarantees quantum stabilizer commutation. The two syndrome types detect the opposite Pauli component, so keeping the x/z roles straight is the first essential implementation check.
Quantum Error Correction · Unit 5Quantum Computing
Degenerate decoding, maximum-likelihood cosets and statistical mechanics
A decoder receives syndrome information and must choose a recovery that restores the correct logical equivalence class. The most likely individual Pauli error need not belong to the most likely coset, because a coset may contain many moderately probable representatives. This is quantum degeneracy: stabilizer-equivalent physical errors have the same encoded effect despite different microscopic histories.
Quantum Error Correction · Unit 6Quantum Computing
Toric codes, chain complexes and homological logical operators
The toric code places qubits on the edges of a periodic square cellulation. Star and plaquette checks define the stabilizer group: their overlap has even parity, ensuring commutation. Z chains end on violated X stars, while X dual chains end on violated Z plaquettes. A contractible closed loop is a stabilizer product; a loop winding around the torus represents a nontrivial logical operator.
Quantum Error Correction · Unit 7Quantum Computing
Planar surface codes, boundaries and lattice surgery
A planar surface-code patch uses boundaries to encode one or more logical degrees of freedom without periodic lattice connectivity. Rough and smooth boundary types correspond to different anyon condensation rules, so the orientation of X and Z strings and the definition of distance must be derived from a precise patch layout. A drawing with a square grid but no check schedule or boundary labels is not a complete code specification.
Quantum Error Correction · Unit 8Quantum Computing
Repeated noisy syndrome extraction and circuit-level detectors
Under perfect measurements a stabilizer syndrome is a snapshot of Pauli errors. Under realistic repeated extraction, a single measurement fault flips one outcome and generates a pair of detection events in time, while a data error can create persistent changes in measured checks. The decoding input is therefore a space-time event history with carefully chosen initial and final temporal boundaries.
Quantum Error Correction · Unit 9Quantum Computing
Minimum-weight matching, union-find and correlated fault likelihoods
Minimum-weight perfect matching associates detector events in a graph with paths of faults; edge weights are derived from an assumed physical likelihood model. For independent graphlike error mechanisms, shortest total matching weight approximates maximum-likelihood fault inference. Under degeneracy and correlated faults, it can disagree with optimal logical-coset decoding.
Quantum Error Correction · Unit 10Quantum Computing
Thresholds, finite-size scaling and rare-event statistics
A threshold is a property of a family of codes, a specified physical noise model, measurement schedule, and decoder, not an intrinsic number attached to the term 'surface code'. Below threshold a family may show decreasing logical error as code distance increases. Above threshold larger codes may fail more frequently. Real finite-distance curves have corrections and need not intersect at a single precise value.
Quantum Error Correction · Unit 11Quantum Computing
Quantum LDPC, hypergraph products and finite-rate architectures
Quantum low-density parity-check codes use stabilizer generators of bounded weight and bounded per-qubit participation as code size grows. Achieving asymptotically favorable rate and distance is an algebraic achievement, but converting a sparse abstract check graph into a two-dimensional nearest-neighbor device can introduce long connections, swap depth or modular interconnects that degrade practical overhead.
Quantum Error Correction · Unit 12Quantum Computing
Color codes, subsystem gauge qubits and code deformation
Color codes place stabilizers on suitably colored cellulations, enabling useful transversal or gauge-fixed gate structures in specific dimensions. In a subsystem code, physical degrees of freedom factor into protected logical and disposable gauge subsystems. Noncommuting gauge generators can be measured while their center supplies commuting stabilizers; this is not equivalent to pretending every gauge generator is a stabilizer.
Quantum Error Correction · Unit 13Quantum Computing
Concatenated codes, recursive thresholds and distance products
Concatenation encodes each physical qubit of an outer code into a lower-level inner code. In idealized independent noise, one level transforms a physical fault rate into a smaller effective logical fault rate when the noise lies beneath a code-dependent threshold. Repeating levels can suppress logical failure, but overhead grows and the actual threshold depends on the exact fault-tolerant gadgets, including syndrome extraction and interactions between encoded blocks.
Quantum Error Correction · Unit 14Quantum Computing
Bosonic cat, binomial and GKP oscillator codes
Bosonic QEC encodes logical states in one or more oscillators rather than a single physical two-level system per code block. Photon loss, dephasing and phase-space displacement are physically distinct errors; the appropriate code depends on the dominant jump operators and the available control and readout. Truncating an infinite Fock space is a numerical approximation requiring a tail-weight audit.
Quantum Error Correction · Unit 15Quantum Computing
Bias-preserving stabilizers, XZZX codes and leakage models
A physical quantum device rarely produces exactly symmetric Pauli noise. Dephasing-dominant channels, coherent phase drift, measurement resets, erasure flags and population leakage change decoder design. An XZZX-type surface code rotates stabilizer structure to exploit biased Pauli channels under suitable gates and measurements. The achievable improvement is conditional on bias surviving the entire syndrome cycle.
Quantum Error Correction · Unit 16Quantum Computing
Fault-tolerant gates, transversal restrictions and magic states
Error correction alone stores information; useful computation must perform logical gates while controlling fault propagation. A transversal gate acts across corresponding positions of code blocks and can limit spread of a single physical fault. However, no finite-dimensional exact code admits a universal set of purely transversal logical gates under standard assumptions. Gate synthesis, code deformation and resource-state injection fill the gap.
Quantum Error Correction · Unit 17Quantum Computing
Self-correcting quantum memory, cellular automata and energy barriers
A passive self-correcting memory stores logical information without active high-bandwidth syndrome processing for a lifetime that improves as system size grows at fixed nonzero temperature. This is stronger than topological ground-state degeneracy or an active surface-code logical-error threshold. In the ordinary two-dimensional toric code, anyon pairs can be created and separated at bounded energy cost, so ordinary local thermal dynamics does not yield an arbitrarily growing passive lifetime.
Quantum Error Correction · Unit 18Quantum Computing
Research protocols, validated decoders and publishable QEC benchmarks
A research-quality QEC result must be a falsifiable comparison in one precisely specified model. The code family, physical error channel, syndrome schedule, decoder, logical observable, baseline, hardware limits and random-sampling scheme jointly define the claim. A decoder advertised as improving surface-code accuracy under phenomenological Z noise may fail under full circuit-level correlated leakage, so both results should be reported rather than collapsing them into an attractive threshold headline.