102 citations · 145 across the 5 of their papers we have counts for
5 papers
Noise-Resilient Quantum Chemistry with Half the Qubits
Shane McFarthing, Aidan Pellow-Jarman, Francesco Petruccione
Sample-based quantum diagonalization (SQD) offers a powerful route to accurate quantum chemistry on noisy intermediate-scale quantum (NISQ) devices by combining quantum sampling wi…
HIVQE: Handover Iterative Variational Quantum Eigensolver for Efficient Quantum Chemistry Calculations
Aidan Pellow-Jarman, Shane McFarthing, Doo Hyung Kang +6
A novel hybrid quantum-classical approach has been developed to efficiently address the multireference quantum chemistry problem. The Handover Iterative Variational Quantum Eigenso…
QAOA Performance in Noisy Devices: The Effect of Classical Optimizers and Ansatz Depth
Aidan Pellow-Jarman, Shane McFarthing, Ilya Sinayskiy +3
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions f…
Near Term Algorithms for Linear Systems of Equations
Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1
Finding solutions to systems of linear equations is a common prob\-lem in many areas of science and engineering, with much potential for a speedup on quantum devices. While the Har…
A Comparison of Various Classical Optimizers for a Variational Quantum Linear Solver
Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1
Variational Hybrid Quantum Classical Algorithms (VHQCAs) are a class of quantum algorithms intended to run on noisy intermediate-scale quantum (NISQ) devices. These algorithms empl…