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@SMU-Quantum

SMU-Quantum

SMU‑Quantum 🦁

Welcome to SMU‑Quantum – the official repository for quantum computing research at Singapore Management University. Our work is driven by innovation and expertise under the guidance of Prof. Hoong Chuin Lau.


✨ About Us

SMU‑Quantum is a collaborative initiative bringing together researchers, students, and industry partners to explore the frontiers of quantum computing. We focus on developing novel quantum optimization techniques and algorithms to tackle real-world challenges.


🚀 Our Projects

Explore our flagship projects:

Stay tuned: We are continuously expanding our portfolio with new projects and updates!


📚 Publications

We are proud to share some of our latest research contributions:

  1. Quantum-Enhanced Simulation-Based Optimization for Newsvendor Problems
    2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Volume 01, Pages 457–468, 2024
    View Publication

  2. Quantum Monte Carlo Methods for Newsvendor Problem with Multiple Unreliable Suppliers
    View Publication

  3. Quantum Relaxation for Solving Multiple Knapsack Problems
    2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Volume 01, Pages 692–698, 2024
    View Publication

  4. A Comparative Study of Quantum Optimization Techniques for Solving Combinatorial Optimization Benchmark Problems
    View Publication

And more are coming soon…


🤝 Research & Collaboration

At SMU‑Quantum, we are dedicated to:

  • Innovative Research: Merging theoretical insights with practical implementations.
  • Open Collaboration: Welcoming contributions from developers, researchers, and enthusiasts.
  • Community Engagement: Sharing knowledge and fostering a vibrant community around quantum computing.

🌟 Get Involved

We invite you to join our journey:

  • Explore & Contribute: Check out our repositories, submit issues, or propose enhancements.
  • Join the Conversation: Connect with us on GitHub and share your ideas.
  • Collaborate: Whether you're a seasoned researcher or a curious beginner, your input is invaluable.

📜 License

All projects under the SMU‑Quantum organization are released under open source licenses. Please refer to the individual repository licenses for more details.


🔗 Connect With Us


Empowering the future of quantum computing—one qubit at a time.

Popular repositories Loading

  1. pauli-correlation-encoding pauli-correlation-encoding Public

    Jupyter Notebook 1

  2. quantum-optimization-benchmarks quantum-optimization-benchmarks Public

    Benchmark Instances for Quantum Optimization

    Jupyter Notebook

  3. quantum-optimization-algorithms quantum-optimization-algorithms Public

    Algorithms used in Quantum Optimization

    Jupyter Notebook

  4. .github .github Public

Repositories

Showing 4 of 4 repositories
  • quantum-optimization-benchmarks Public

    Benchmark Instances for Quantum Optimization

    SMU-Quantum/quantum-optimization-benchmarks’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Apr 14, 2025
  • .github Public
    SMU-Quantum/.github’s past year of commit activity
    0 0 0 0 Updated Mar 19, 2025
  • SMU-Quantum/pauli-correlation-encoding’s past year of commit activity
    Jupyter Notebook 1 0 0 0 Updated Mar 19, 2025
  • quantum-optimization-algorithms Public

    Algorithms used in Quantum Optimization

    SMU-Quantum/quantum-optimization-algorithms’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Mar 19, 2025

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