Quantum AI Research
Quantum AI Research (QuAIR) Lab, led by Prof. Xin Wang at HKUST (Guangzhou),
studies quantum information and practical quantum computing
through two connected directions: AI for Quantum and Quantum for AI.
Notice: We are looking for self-motivated PhD, MPhil, visiting students, and postdoctoral scholars interested in
quantum information, quantum algorithms, quantum machine learning, and quantum architecture.
Research Pillars
From quantum information theory to algorithms, software, and classroom material.
Entanglement, quantum channels, communication limits, resource theories, and information-theoretic protocols. Related publications
Quantum algorithms, QML models, compilers, and scalable fault-tolerant systems. Algorithms / QML
Latest News
Paper on real-time decoder scheduling for fault-tolerant quantum computation has been accepted by ISCA 2026 🎉
Paper on entanglement resource theory have been accepted by PRL 🎉
Paper on multi-level shuttle scheduling for large-scale entanglement module linked trapped-ion quantum computers is published at MICRO 2025 🎉
