3 papers
quant-ph2025
Investigating methods to solve large windfarm optimization problems with a minimum number of qubits using circuit-based quantum computers
James Hancock, Matthew Craven, Craig McNeile
This study investigates quantum computing approaches for solving the windfarm layout optimization (WFLO) problems formulated as a quadratic unconstrained binary optimization (QUBO)…
quant-ph2025
Investigating Techniques to Optimise the Layout of Turbines in a Windfarm using a Quantum Computer
James Hancock, Matthew J. Craven, Craig McNeile +1
This paper investigates Windfarm Layout Optimization (WFLO), where we formulate turbine placement considering wake effects as a Quadratic Unconstrained Binary Optimization (QUBO) p…
quant-ph2025
Quantum Phase Transition of Non-Hermitian Systems using Variational Quantum Techniques
James Hancock, Matthew J. Craven, Craig McNeile +1
The motivation for studying non-Hermitian systems and the role of -symmetry is discussed. We investigate the use of a quantum algorithm to find the eigenvalues and ei…