Ever more optimized simulations of fermionic systems on a quantum computer
Quantum Physics
2023-03-08 v1
Abstract
Despite using a novel model of computation, quantum computers break down programs into elementary gates. Among such gates, entangling gates are the most expensive. In the context of fermionic simulations, we develop a suite of compilation and optimization techniques that massively reduce the entangling-gate counts. We exploit the well-studied non-quantum optimization algorithms to achieve up to 24\% savings over the state of the art for several small-molecule simulations, with no loss of accuracy or hidden costs. Our methodologies straightforwardly generalize to wider classes of near-term simulations of the ground state of a fermionic system or real-time simulations probing dynamical properties of a fermionic system.
Cite
@article{arxiv.2303.03460,
title = {Ever more optimized simulations of fermionic systems on a quantum computer},
author = {Qingfeng Wang and Ze-Pei Cian and Ming Li and Igor L. Markov and Yunseong Nam},
journal= {arXiv preprint arXiv:2303.03460},
year = {2023}
}