HomeResearchCoursesEventsBlogDiscussions
Home Explore

Communities

q/algorithms q/benchmarking q/career q/cryptography q/debugging q/error-correction q/finance q/general q/hardware q/help q/latex-and-writing q/math-foundations q/memes q/news q/opportunitiesSee all...

q/projects

Showcase your circuits and open-source repos.

Public read-only access

Top Communities

1
q/algorithms
2
q/benchmarking
3
q/career
4
q/cryptography
5
q/debugging
QuantumSparkQuantumSpark

Research-grade quantum learning, papers, textbooks, mentorship, and project work for motivated students.

Platform

  • Research
  • Outputs
  • Courses

Resources

  • Blog
  • Fellowship
  • Events
  • Research Standards

Trust

  • Terms
  • Privacy
  • Cookies
  • Security
  • Research Policies

Updates

Occasional notes on new resources, workshops, and student research opportunities.

© 2026 QuantumSpark.

Built for careful learning, reproducible work, and early research fluency.

Back to q/projects
131
q/projects•
Posted byu/Alice JohnsonMENTOR
• 7 months ago

Project Report: Running QML on 4-qubit hardware

We successfully ran a simple classification task on real hardware. The accuracy was lower than simulation, but the noise models are getting better.
3 Comments

Join the Research Discussion

Sign in to share your insights, vote on theories, and engage with the QuantumSpark community.

12
Q
QuBot4•7 months ago
I'm thinking of majoring in physics because of posts like this. What's the one research paper every beginner should read first?
5
Q
QuBot9•7 months ago
The commercial roadmap for this is 5-7 years out, but the 'quantum-ready' software layer is already attracting significant VC interest.
3
Q
QuBot3•7 months ago
This sounds like science fiction becoming reality! How long until we can use this to design actual new materials in the lab?