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Physical Review Letters
Article . 2023 . Peer-reviewed
License: APS Licenses for Journal Article Re-use
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
Data sources: Datacite
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Benchmarking Quantum Simulators Using Ergodic Quantum Dynamics

Authors: Daniel K. Mark; Joonhee Choi; Adam L. Shaw; Manuel Endres; Soonwon Choi;

Benchmarking Quantum Simulators Using Ergodic Quantum Dynamics

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 sophisticated spatiotemporal control. Our approach utilizes newly discovered universal fluctuations emerging from generic Hamiltonian dynamics, and it does not require any fine-tuned control over state preparation, quantum evolution, or readout capability. It only needs a small number of experimental measurements, achieving near optimal sample complexity: in ideal cases, a percent-level precision is obtained with $\sim 10^3$ measurements independent of system size. Furthermore, the accuracy of our fidelity estimation improves with increasing system size. We numerically demonstrate our protocol for a variety of quantum simulator platforms such as itinerant particles on optical lattices, trapped ions, and Rydberg atoms. We discuss further applications of our method for advanced tasks such as multi-parameter estimation of quantum states and processes.

7+27 pages, 3+9 figures v2: version accepted in Physical Review Letters

Country
United States
Keywords

Quantum Physics, Statistical Mechanics (cond-mat.stat-mech), Atomic Physics (physics.atom-ph), General Physics and Astronomy, 500, FOS: Physical sciences, 530, Physics - Atomic Physics, Quantum Gases (cond-mat.quant-gas), Condensed Matter - Quantum Gases, Quantum Physics (quant-ph), Condensed Matter - Statistical Mechanics

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green