Empowering the future of quantum computing—one qubit at a time.
Welcome to the official research repository for Quantum Computing at Singapore Management University (SMU). Directed by Prof. Hoong Chuin Lau, our lab sits at the intersection of quantum theory and industrial application, specializing in Quantum Optimization and Hybrid Classical-Quantum Algorithms.
Explore Repositories • Read Publications • Collaborate
Our research sits at the leading edge of quantum optimization, with regular contributions to flagship venues like IEEE QCE, AAAI, and Springer Nature.
- Hybrid Learning and Optimization methods for solving CVRP AAAI 2026 Workshop on Quantum Computing (QC) | CCIS, Springer Nature Integrates Reinforcement Learning (RL) with Augmented Lagrangian Methods (ALM). [Paper] • [Code]
- Cutting Slack: Quantum Optimization with Slack-Free Methods Technical Report / ArXiv 2025 Reduces qubit overhead by eliminating slack variables in combinatorial benchmarks. [Paper] • [Code]
- Implementing Slack-Free Custom Penalty Function for QUBO 2025 IEEE International Conference on Quantum Computing and Engineering (QCE) [Paper]
- Solving Constrained Problems with Variational Quantum Imaginary Time Evolution (V-QITE) 2025 IEEE International Conference on Quantum Computing and Engineering (QCE) [Paper]
- A Comparative Study of Quantum Optimization Techniques ArXiv 2025 [Paper] • [Code]
- Quantum Monte Carlo Methods for Newsvendor Problem ArXiv 2024 [Paper]
- Quantum-Enhanced Simulation-Based Optimization for Newsvendor 2024 IEEE QCE, Vol 01 [Paper]
Tip
Looking for a specific paper? Visit our Faculty Profile for a comprehensive list of all published works.
Achieving "Quantum Advantage" requires a multidisciplinary ecosystem. We actively partner with academic institutions and industry leaders to push the boundaries of what is computationally possible.
- Academic Collaboration: We co-author high-impact publications and develop novel algorithms in quantum optimization and machine learning.
- Industry Pilots: We apply our proprietary solvers to complex challenges in Supply Chain, Finance, and Logistics, moving quantum theory into production.
We are committed to open-source excellence and reproducible research. Whether you are a researcher, developer, or student, there are several ways to engage:
| Pathway | How to Contribute |
|---|---|
| Code | [Fork & PR] Help us optimize our solvers or add new benchmark instances. |
| Feedback | [Submit Issues] Report bugs or suggest feature enhancements for our toolkits. |
| Partnership | [Connect] For formal research inquiries, contact Prof. Hoong Chuin Lau. |
Important
All projects under the SMU‑Quantum organization are released under open-source licenses. We advocate for transparent, accessible science.
- GitHub Organization: SMU‑Quantum
- Institution: Singapore Management University
- Research Lead: Prof. Hoong Chuin Lau
Released under Open Source Licenses. Check individual repositories for specific terms.