activity
20012025
most citedMeasurement-based quantum computation with cluster states

1.7k citations · 8k across the 75 of their papers we have counts for

collaborators

76 papers

quant-ph2025

Ordering Matters: Structure, Accuracy and Gate Cost in Second-Order Suzuki Product Formulas

Matthew A Lane, Dan E Browne

Product formula methods, particularly the second-order Suzuki decomposition, are an important tool for simulating quantum dynamics on quantum computers due to their simplicity and…

quant-ph2023★ 12 cited

Continuous-time quantum walks for MAX-CUT are hot

Robert J. Banks, Ehsan Haque, Farah Nazef +21

By exploiting the link between time-independent Hamiltonians and thermalisation, heuristic predictions on the performance of continuous-time quantum walks for MAX-CUT are made. The…

quant-ph2023★ 8 cited

Union-find quantum decoding without union-find

Sam J. Griffiths, Dan E. Browne

The union-find decoder is a leading algorithmic approach to the correction of quantum errors on the surface code, achieving code thresholds comparable to minimum-weight perfect mat…

quant-ph2023

A fault-tolerant variational quantum algorithm with limited T-depth

Hasan Sayginel, Francois Jamet, Abhishek Agarwal +2

We propose a variational quantum eigensolver (VQE) algorithm that uses a fault-tolerant gate-set, and is hence suitable for implementation on a future error-corrected quantum compu…

quant-ph2023★ 2 cited

Extending Matchgate Simulation Methods to Universal Quantum Circuits

Avinash Mocherla, Lingling Lao, Dan E. Browne

Matchgates are a family of parity-preserving two-qubit gates, nearest-neighbour circuits of which are known to be classically simulable in polynomial time. In this work, we present…

quant-ph2023★ 7 cited

Rapid quantum approaches for combinatorial optimisation inspired by optimal state-transfer

Robert J. Banks, Dan E. Browne, P. A. Warburton

We propose a new design heuristic to tackle combinatorial optimisation problems, inspired by Hamiltonians for optimal state-transfer. The result is a rapid approximate optimisation…