Published September 15, 2023 | Version Published
Journal Article Open

Benchmarking Quantum Simulators Using Ergodic Quantum Dynamics

  • 1. ROR icon Massachusetts Institute of Technology
  • 2. ROR icon California Institute of Technology

Abstract

We propose and analyze a sample-efficient protocol to estimate the fidelity between an experimentally prepared state and an ideal target state, applicable to a wide class of analog quantum simulators without advanced spatiotemporal control. Our protocol relies on universal fluctuations emerging from generic Hamiltonian dynamics, which we discover in the present work. It does not require fine-tuned control over state preparation, quantum evolution, or readout capability, while achieving near optimal sample complexity: a percent-level precision is obtained with ∼10³ measurements, independent of system size. Furthermore, the accuracy of our fidelity estimation improves exponentially with increasing system size. We numerically demonstrate our protocol in a variety of quantum simulator platforms, including quantum gas microscopes, trapped ions, and Rydberg atom arrays. We discuss applications of our method for tasks such as multiparameter estimation of quantum states and processes.

Copyright and License

© 2023 American Physical Society.

Files

230626_SM_resubmission.pdf

Files (4.9 MB)

Name Size Download all
md5:f666626b492f75a54cccb5fc78000af8
4.2 MB Preview Download
md5:d12384df09ea5795a77eaea8bbb36df1
769.1 kB Preview Download

Additional details

Identifiers

ISSN
1079-7114

Funding

National Science Foundation
PHY-1733907
National Science Foundation
PHY-1734011
National Science Foundation
PHY-2016245
United States Air Force Office of Scientific Research
FA9550-19-1-0044
Defense Advanced Research Projects Agency
W911NF2010021
National Science Foundation
PHY-1753386
United States Army Research Office
W911NF2010136
National Science Foundation
DMR-2237244
United States Department of Energy
7571809

Caltech Custom Metadata

Caltech groups
Institute for Quantum Information and Matter