activity
20052023
most citedPrime factorization using quantum annealing and computational algebraic geometry

80 citations · 183 across the 25 of their papers we have counts for

collaborators

26 papers

quant-ph2023★ 4 cited

Zeno-effect Computation: Opportunities and Challenges

Jesse Berwald, Nicholas Chancellor, Raouf Dridi

Adiabatic quantum computing has demonstrated how quantum Zeno can be used to construct quantum optimisers. However, much less work has been done to understand how more general Zeno…

quant-ph2023★ 6 cited

Grover Speedup from Many Forms of the Zeno Effect

Jesse Berwald, Nick Chancellor, Raouf Dridi

It has previously been established that adiabatic quantum computation, operating based on a continuous Zeno effect due to dynamical phases between eigenstates, is able to realise a…

quant-ph2022

Suppressing unwanted fluctuations in QAOA and approximate quantum annealing

Touheed Anwar Atif, Catherine Potts, David Haycraft +2

The quantum approximate optimisation algorithm (QAOA) was partially inspired by digitising quantum annealing. Based on this inspiration, we develop techniques to use the additional…

quant-ph2022★ 1 cited

Quantum Natural Gradient with Efficient Backtracking Line Search

Touheed Anwar Atif, Uchenna Chukwu, Jesse Berwald +1

We consider the Quantum Natural Gradient Descent (QNGD) scheme which was recently proposed to train variational quantum algorithms. QNGD is Steepest Gradient Descent (SGD) operatin…

quant-ph2021★ 26 cited

Understanding domain-wall encoding theoretically and experimentally

Jesse Berwald, Nicholas Chancellor, Raouf Dridi

We analyze the method of encoding pairwise interactions of higher-than-binary discrete variables (these models are sometimes referred to as discrete quadratic models) into binary v…

quant-ph2020

Constrained-optimization Approach Delivers Superior Classical Performance for Graph Partitioning via Quantum-ready Method

Uchenna Chukwu, Raouf Dridi, Jesse Berwald +5

Graph partitioning is one of an important set of well-known compute-intense (NP-hard) graph problems that devolve to discrete constrained optimization. We sampled solutions to the…