17 citations · 111 across the 17 of their papers we have counts for
17 papers
Optyx: A ZX-based Python library for networked quantum architectures
Mateusz Kupper, Richie Yeung, Boldizsár Poór +3
Distributed, large-scale quantum computing will need architectures that combine matter-based qubits with photonic links, but today's software stacks target either gate-based chips…
A Photonic Parameter-shift Rule: Enabling Gradient Computation for Photonic Quantum Computers
Axel Pappalardo, Pierre-Emmanuel Emeriau, Giovanni de Felice +5
We present a method for gradient computation in quantum algorithms implemented on linear optical quantum computing platforms. While parameter-shift rules have become a staple in qu…
A Pipeline For Discourse Circuits From CCG
Jonathon Liu, Razin A. Shaikh, Benjamin Rodatz +2
There is a significant disconnect between linguistic theory and modern NLP practice, which relies heavily on inscrutable black-box architectures. DisCoCirc is a newly proposed mode…
DisCoPy: the Hierarchy of Graphical Languages in Python
Alexis Toumi, Richie Yeung, Boldizsár Poór +1
DisCoPy is a Python toolkit for computing with monoidal categories. It comes with two flexible data structures for string diagrams: the first one for planar monoidal categories bas…
Sequence Processing with Quantum Tensor Networks
Carys Harvey, Richie Yeung, Konstantinos Meichanetzidis
We introduce complex-valued tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression.…
Speedy Contraction of ZX Diagrams with Triangles via Stabiliser Decompositions
Mark Koch, Richie Yeung, Quanlong Wang
Recent advances in classical simulation of Clifford+T circuits make use of the ZX calculus to iteratively decompose and simplify magic states into stabiliser terms. We improve on t…
Completeness for arbitrary finite dimensions of ZXW-calculus, a unifying calculus
Boldizsár Poór, Quanlong Wang, Razin A. Shaikh +3
The ZX-calculus is a universal graphical language for qubit quantum computation, meaning that every linear map between qubits can be expressed in the ZX-calculus. Furthermore, it i…
How to Sum and Exponentiate Hamiltonians in ZXW Calculus
Razin A. Shaikh, Quanlong Wang, Richie Yeung
This paper develops practical summation techniques in ZXW calculus to reason about quantum dynamics, such as unitary time evolution. First we give a direct representation of a wide…
Annealing Optimisation of Mixed ZX Phase Circuits
Stefano Gogioso, Richie Yeung
We present a topology-aware optimisation technique for circuits of mixed ZX phase gadgets, based on conjugation by CX gates and simulated annealing.
DisCoPy for the quantum computer scientist
Alexis Toumi, Giovanni de Felice, Richie Yeung
DisCoPy (Distributional Compositional Python) is an open source toolbox for computing with string diagrams and functors. In particular, the diagram data structure allows to encode…
Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
Quanlong Wang, Richie Yeung, Mark Koch
ZX-calculus has proved to be a useful tool for quantum technology with a wide range of successful applications. Most of these applications are of an algebraic nature. However, othe…
A Quantum Natural Language Processing Approach to Musical Intelligence
Eduardo Reck Miranda, Richie Yeung, Anna Pearson +2
There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for musical composition and access to large databases for commercialisation through the…
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes im…
Representing and Implementing Matrices Using Algebraic ZX-calculus
Quanlong Wang, Richie Yeung
In linear algebra applications, elementary matrices hold a significant role. This paper presents a diagrammatic representation of all -sized elementary matrices in a…
A CCG-Based Version of the DisCoCat Framework
Richie Yeung, Dimitri Kartsaklis
While the DisCoCat model (Coecke et al., 2010) has been proved a valuable tool for studying compositional aspects of language at the level of semantics, its strong dependency on pr…
Diagrammatic Differentiation for Quantum Machine Learning
Alexis Toumi, Richie Yeung, Giovanni de Felice
We introduce diagrammatic differentiation for tensor calculus by generalising the dual number construction from rigs to monoidal categories. Applying this to ZX diagrams, we show h…
Diagrammatic Design and Study of Ansätze for Quantum Machine Learning
Richie Yeung
Given the rising popularity of quantum machine learning (QML), it is important to develop techniques that effectively simplify commonly adopted families of parameterised quantum ci…