Publications

publications by year.

2026

  1. Yeung2026CliffordRL.png
    arXiv , 2026
    Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
    Richie Yeung, Aleks Kissinger, and Rob Cornish
    arXiv preprint arXiv:2605.10910, May 2026
    DOI Paper
  2. Agnew2026.png
    arXiv , 2026
    Algebraic Structure of Quantum Controlled States and Operators
    Edwin Agnew, Lia Yeh, and Richie Yeung
    arXiv preprint arXiv:2603.13454, 2026
    Paper
  3. Khesin2026.png
    arXiv , 2026
    SpiderCat: Optimal Fault-Tolerant Cat State Preparation
    Andrey Boris Khesin, Sarah Meng Li, Boldizsár Poór, and 3 more authors
    arXiv preprint arXiv:2603.05391, 2026
    Paper

2025

  1. Kupper2025.png
    arXiv , 2025
    Optyx: A ZX-based Python library for networked quantum architectures
    Mateusz Kupper, Richie Yeung, Boldizsár Poór, and 3 more authors
    arXiv preprint arXiv:2512.09648, 2025
    Paper
  2. Wetering2025.png
    Quantum , 2025
    Optimal compilation of parametrised quantum circuits
    John van de Wetering, Richie Yeung, Tuomas Laakkonen, and 1 more author
    Quantum, Aug 2025
    DOI Paper
  3. Harvey2025.png
    Scientific Reports , 2025
    Sequence processing with quantum-inspired tensor networks
    Carys Harvey, Richie Yeung, and Konstantinos Meichanetzidis
    Scientific Reports, Feb 2025
    DOI Paper
  4. Pappalardo2025.png
    Physical Review A , 2025
    Photonic parameter-shift rule: Enabling gradient computation for photonic quantum computers
    Axel Pappalardo, Pierre-Emmanuel Emeriau, Giovanni de Felice, and 5 more authors
    Physical Review A, Mar 2025
    DOI Paper
  5. Foreman2025.png
    Quantum , 2025
    Cryptomite: A versatile and user-friendly library of randomness extractors
    Cameron Foreman, Richie Yeung, Alec Edgington, and 1 more author
    Quantum, Jan 2025
    DOI Paper

2024

  1. Huang2024.png
    IEEE QCE , 2024
    Redefining Lexicographical Ordering: Optimizing Pauli String Decompositions for Quantum Compiling
    Qunsheng Huang, David Winderl, Arianne Meijer-van de Griend, and 1 more author
    In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024
    DOI Paper
  2. Wang2024.png
    Quantum , 2024
    Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
    Quanlong Wang, Richie Yeung, and Mark Koch
    Quantum, Oct 2024
    DOI Paper
  3. Koch2024.png
    Physica Scripta , 2024
    Contraction of ZX diagrams with triangles via stabiliser decompositions
    Mark Koch, Richie Yeung, and Quanlong Wang
    Physica Scripta, Sep 2024
    DOI Paper
  4. Foreman2024.png
    Entropy , 2024
    Statistical Testing of Random Number Generators and Their Improvement Using Randomness Extraction
    Cameron Foreman, Richie Yeung, and Florian J. Curchod
    Entropy, Dec 2024
    DOI Paper
  5. KoziellPipe2024.png
    MathAI , 2024
    Towards Faster Quantum Circuit Simulation Using Graph Decompositions, GNNs and Reinforcement Learning
    Alexander Koziell-Pipe, Richie Yeung, and Matthew Sutcliffe
    In The 4th Workshop on Mathematical Reasoning and AI at NeurIPS, 2024
    Paper
  6. Toumi2024Streams.png
    ACT , 2024
    Monoidal Streams and Probabilistic Dataflow with DisCoPy
    Alexis Toumi, Richie Yeung, Boldizsár Poór, and 1 more author
    In Applied Category Theory (ACT 2024), 2024
    Paper

2023

  1. Gogioso2023.png
    EPTCS , 2023
    Annealing Optimisation of Mixed ZX Phase Circuits
    Stefano Gogioso and Richie Yeung
    Electronic Proceedings in Theoretical Computer Science, Nov 2023
    DOI Paper
  2. Shaikh2023.png
    EPTCS , 2023
    How to Sum and Exponentiate Hamiltonians in ZXW Calculus
    Razin A. Shaikh, Quanlong Wang, and Richie Yeung
    Electronic Proceedings in Theoretical Computer Science, Nov 2023
    DOI Paper
  3. Poor2023.png
    LICS , 2023
    Completeness for arbitrary finite dimensions of ZXW-calculus, a unifying calculus
    Boldizsár Poór, Quanlong Wang, Razin A. Shaikh, and 3 more authors
    In 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2023
    DOI Paper
  4. Winderl2023.png
    arXiv , 2023
    Architecture-Aware Synthesis of Stabilizer Circuits from Clifford Tableaus
    David Winderl, Qunsheng Huang, Arianne Meijer-van de Griend, and 1 more author
    arXiv preprint arXiv:2309.08972, 2023
    Paper
  5. Liu2023.png
    arXiv , 2023
    A Pipeline For Discourse Circuits From CCG
    Jonathon Liu, Razin A. Shaikh, Benjamin Rodatz, and 2 more authors
    arXiv preprint arXiv:2311.17892, 2023
    Paper
  6. Charton2023.png
    MathAI , 2023
    Teaching small transformers to rewrite ZX diagrams
    François Charton, Alexandre Krajenbrink, Konstantinos Meichanetzidis, and 1 more author
    In The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS, 2023
    Paper
  7. Toumi2023DisCoPy.png
    ACT , 2023
    DisCoPy: the Hierarchy of Graphical Languages in Python
    Alexis Toumi, Richie Yeung, Boldizsár Poór, and 1 more author
    In Applied Category Theory (ACT 2023), 2023
    Paper

2022

  1. Toumi2022DisCoPyQuantum.png
    ACT , 2022
    DisCoPy for the quantum computer scientist
    Alexis Toumi, Giovanni de Felice, and Richie Yeung
    In Applied Category Theory (ACT 2022), 2022
    Paper
  2. Miranda2022.png
    Proceedings , 2022
    A Quantum Natural Language Processing Approach to Musical Intelligence
    Eduardo Reck Miranda, Richie Yeung, Anna Pearson, and 2 more authors
    In Quantum Computer Music: Foundations, Methods and Advanced Concepts, 2022
    DOI Paper

2021

  1. Kartsaklis2021.png
    arXiv , 2021
    lambeq: An Efficient High-Level Python Library for Quantum NLP
    Dimitri Kartsaklis, Ian Fan, Richie Yeung, and 7 more authors
    arXiv preprint arXiv:2110.04236, 2021
    Paper
  2. Yeung2021CCG.png
    SemSpace , 2021
    A CCG-Based Version of the DisCoCat Framework
    Richie Yeung and Dimitri Kartsaklis
    In Proceedings of the 2021 Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Science (SemSpace), Jun 2021
    Paper
  3. Toumi2021.png
    EPTCS , 2021
    Diagrammatic Differentiation for Quantum Machine Learning
    Alexis Toumi, Richie Yeung, and Giovanni de Felice
    Electronic Proceedings in Theoretical Computer Science, Sep 2021
    DOI Paper
  4. Wang2021Matrices.png
    arXiv , 2021
    Representing and Implementing Matrices Using Algebraic ZX-calculus
    Quanlong Wang and Richie Yeung
    arXiv preprint arXiv:2110.06898, 2021
    Paper

2020

  1. Yeung2020.png
    University of Oxford , 2020

2019

  1. Yeung2019.png
    University of Cambridge , 2019