26 citations · 29 across the 3 of their papers we have counts for
5 papers · 1 filter
Experimental demonstration of Robust Amplitude Estimation on near-term quantum devices for chemistry applications
Alexander Kunitsa, Nicole Bellonzi, Shangjie Guo +4
This study explores hardware implementation of Robust Amplitude Estimation (RAE) on IBM quantum devices, demonstrating its application in quantum chemistry for one- and two-qubit H…
Reducing the cost of energy estimation in the variational quantum eigensolver algorithm with robust amplitude estimation
Peter D. Johnson, Alexander A. Kunitsa, Jérôme F. Gonthier +5
Quantum chemistry and materials is one of the most promising applications of quantum computing. Yet much work is still to be done in matching industry-relevant problems in these ar…
Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, Jonathan Romero, Jerome F. Gonthier +1
Variational hybrid quantum-classical algorithms are powerful tools to maximize the use of Noisy Intermediate Scale Quantum devices. While past studies have developed powerful and e…
An application benchmark for fermionic quantum simulations
Pierre-Luc Dallaire-Demers, Michał Stęchły, Jerome F. Gonthier +3
It is expected that the simulation of correlated fermions in chemistry and material science will be one of the first practical applications of quantum processors. Given the rapid e…
Quantum algorithms for electronic structure calculations: particle/hole Hamiltonian and optimized wavefunction expansions
Panagiotis Kl. Barkoutsos, Jerome F. Gonthier, Igor Sokolov +9
In this work we investigate methods to improve the efficiency and scalability of quantum algorithms for quantum chemistry applications. We propose a transformation of the electroni…