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QuAIR

Quantum AI Research (QuAIR) Lab, led by Prof. Xin Wang at HKUST (Guangzhou), is dedicated to pushing the fundamental boundaries of quantum information processing and driving technological advancements for quantum computing, guided by AI for Quantum and Quantum for AI.

Quantum AI Image

QuAIR-Platform

QuAIRKit

QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid verification of quantum and classical algorithms.

QRLab

QRLab: Matlab Package for Quantum Information Processing and Quantum Resource Theory is a MATLAB toolbox for exploring quantum information processing and quantum resource theory.

Features

  • Entanglement Theory: Static and dynamic measures including Logarithmic Negativity, Rains Bound, and Quantum Capacity.
  • Coherence Theory: Robustness of Coherence and channel simulation.
  • Magic Theory: Robustness of Magic, Magic Mana, and state generation.
  • Quasi-Theory: Error mitigation techniques like probabilistic and deterministic error cancellation.
  • Supermap: Quantum Switch operations and Link Product.
  • Seesaw Algorithms: Sub-optimal solutions for non-linear optimization problems like CHSH game and LOCC protocol.
  • Extra Functions: Conditional quantum mutual information and Virtual Markovian State.

QuICK

QuICK: Quantum Integrity and Correction Kit is a quantum error correction package in the QuAIR team (under construction). The tools are for code construction and decoding.

Features

  • QuICK: contain error correction codes include:
  • code: classical and quantum code construction
    • ClassicalCode: binary classical linear block code
    • Stabilizer: quantum stabilizer code
    • CSSCode: quantum Calderbank-Shor-Steane(CSS) code
    • HGP: quantum hypergraph product code
    • LP: quantum lifted product code
  • utils: binary linear algebra and code utilities