3.3k citations · 4.6k across the 28 of their papers we have counts for
29 papers
Measuring what matters: A scalable framework for application-level quantum benchmarking
Willie Aboumrad, Claudio Girotto, Joshua Goings +16
As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metri…
Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
Luning Zhao, Joshua J. Goings, Willie Aboumrad +38
We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomograph…
Pathfinding Quantum Simulations of Neutrinoless Double-Beta Decay
Ivan A. Chernyshev, Roland C. Farrell, Marc Illa +10
We present results from co-designed quantum simulations of the neutrinoless double-beta decay of a simple nucleus in 1+1D quantum chromodynamics using IonQ's Forte-generation trapp…
A Search for Classical Subsystems in Quantum Worlds
Arsalan Adil, Manuel S. Rudolph, Andrew Arrasmith +3
Decoherence and einselection have been effective in explaining several features of an emergent classical world from an underlying quantum theory. However, the theory assumes a part…
Development and Demonstration of an Efficient Readout Error Mitigation Technique for use in NISQ Algorithms
Andrew Arrasmith, Andrew Patterson, Alice Boughton +1
The approximate state estimation and the closely related classical shadows methods allow for the estimation of complicated observables with relatively few shots. As these methods m…
Entangled Datasets for Quantum Machine Learning
Louis Schatzki, Andrew Arrasmith, Patrick J. Coles +1
High-quality, large-scale datasets have played a crucial role in the development and success of classical machine learning. Quantum Machine Learning (QML) is a new field that aims…