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20232025
most citedChallenges and Opportunities in Quantum Optimization

181 citations · 200 across the 9 of their papers we have counts for

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quant-ph2025

Sequences of Bivariate Bicycle Codes from Covering Graphs

Benjamin C. B. Symons, Abhishek Rajput, Dan E. Browne

We show that given an instance of a bivariate bicycle (BB) code, it is possible to generate an infinite sequence of new BB codes using increasingly large covering graphs of the ori…

quant-ph2024★ 5 cited

Resource-optimized fault-tolerant simulation of the Fermi-Hubbard model and high-temperature superconductor models

Angus Kan, Benjamin Symons

Exploring low-cost applications is paramount to creating value in early fault-tolerant quantum computers. Here we optimize both gate and qubit counts of recent algorithms for simul…

quant-ph2024

Evolving a multi-population evolutionary-QAOA on distributed QPUs

Francesca Schiavello, Edoardo Altamura, Ivano Tavernelli +2

Our work integrates an Evolutionary Algorithm (EA) with the Quantum Approximate Optimization Algorithm (QAOA) to optimize ansatz parameters in place of traditional gradient-based m…

quant-ph2024

Boosted Imaginary Time Evolution of Matrix Product States

Benjamin C. B. Symons, Dilhan Manawadu, David Galvin +1

In this work, we consider the imaginary time evolution of matrix product states. We present a novel quantum-inspired classical method that, when combined with time evolving block d…

quant-ph2024★ 13 cited

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training

M. Emre Sahin, Benjamin C. B. Symons, Pushpak Pati +5

Quantum machine learning with quantum kernels for classification problems is a growing area of research. Recently, quantum kernel alignment techniques that parameterise the kernel…

quant-ph2023★ 181 cited

Challenges and Opportunities in Quantum Optimization

Amira Abbas, Andris Ambainis, Brandon Augustino +43

Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…

quant-ph2023

Nonadiabatic nuclear-electron dynamics: a quantum computing approach

Arseny Kovyrshin, Mårten Skogh, Lars Tornberg +6

The combined quantum electron-nuclear dynamics is often associated with the Born-Huang expansion of the molecular wave function and the appearance of nonadiabatic effects as a pert…

quant-ph2023

A Practitioner's Guide to Quantum Algorithms for Optimisation Problems

Benjamin C. B. Symons, David Galvin, Emre Sahin +2

Quantum computing is gaining popularity across a wide range of scientific disciplines due to its potential to solve long-standing computational problems that are considered intract…