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Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor
Amir H. Karamlou, William A. Simon, Amara Katabarwa +3
In the near-term, hybrid quantum-classical algorithms hold great potential for outperforming classical approaches. Understanding how these two computing paradigms work in tandem is…
Minimizing estimation runtime on noisy quantum computers
Guoming Wang, Dax Enshan Koh, Peter D. Johnson +1
The number of measurements demanded by hybrid quantum-classical algorithms such as the variational quantum eigensolver (VQE) is prohibitively high for many problems of practical va…
Foundations for Bayesian inference with engineered likelihood functions for robust amplitude estimation
Dax Enshan Koh, Guoming Wang, Peter D. Johnson +1
We present mathematical and conceptual foundations for the task of robust amplitude estimation using engineered likelihood functions (ELFs), a framework introduced in Wang et al. […
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…