activity
20162025
most citedQuantum generalisation of feedforward neural networks

280 citations · 287 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2025★ 1 cited

Cutting stabiliser decompositions of magic state cultivation with ZX-calculus

Kwok Ho Wan, Zhenghao Zhong

We apply the cutting stabiliser decomposition techniques [arXiv:2403.10964] to the quantum states generated from magic state cultivation [arXiv:2409.17595], post-selected upon all…

quant-ph2025

Pauli webs spun by transversal state initialisation

Kwok Ho Wan, Zhenghao Zhong

Originally motivated by the (fold-)transversal related initialisation of logical surface code states from [arXiv:1603.02286, arXiv:2302.07395, arXiv:2302.12292], which…

quant-ph2025

Pauli web of the state surface code injection

Kwok Ho Wan, Zhenghao Zhong, Ainhoa Zapirain

We employ ZX-calculus and Pauli web to understand the state injection on the rotated surface code. Under circuit-level noise, we devise an optimised schedule that impro…

quant-ph2024

An iterative transversal CNOT decoder

Kwok Ho Wan, Mark Webber, Austin G. Fowler +1

Modern platforms for potential qubit candidates, such as trapped ions or neutral atoms, allow long range connectivity between distant physical qubits through shuttling. This opens…

quant-ph2023★ 2 cited

Flexible entangled state generation in linear optics

Brendan Pankovich, Alex Neville, Angus Kan +3

Fault-tolerant quantum computation can be achieved by creating constant-sized, entangled resource states and performing entangling measurements on subsets of their qubits. Linear o…

quant-ph2018★ 4 cited

Learning Simon's quantum algorithm

Kwok Ho Wan, Feiyang Liu, Oscar Dahlsten +1

We consider whether trainable quantum unitaries can be used to discover quantum speed-ups for classical problems. Using methods recently developed for training quantum neural nets,…

quant-ph2016★ 280 cited

Quantum generalisation of feedforward neural networks

Kwok Ho Wan, Oscar Dahlsten, Hlér Kristjánsson +2

We propose a quantum generalisation of a classical neural network. The classical neurons are firstly rendered reversible by adding ancillary bits. Then they are generalised to bein…