We review several of our recent works which are focused on how to use classical simulations to help understand how quantum simulations will perform on quantum hardware and the resources they will need. We demonstrate a variety of computational tools which we use to benchmark various components of phase estimation, adiabatic state preparation, and QAOA, as well as other applications. To get an understanding of how these algorithms work broadly, our test simulations include small molecular systems, transition metal systems, as well as various condensed matter examples. Using the results from this wide range of systems we discuss the implications for simulating systems that we are not currently able to benchmark classically but for which we hope to eventually simulate on quantum hardware.

Designing classical algorithms to benchmark quantum simulations

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.