English

Benchmarking Quantum Simulators using Ergodic Quantum Dynamics

Quantum Physics 2023-09-14 v2 Quantum Gases Statistical Mechanics Atomic Physics

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 103\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.

Keywords

Cite

@article{arxiv.2205.12211,
  title  = {Benchmarking Quantum Simulators using Ergodic Quantum Dynamics},
  author = {Daniel K. Mark and Joonhee Choi and Adam L. Shaw and Manuel Endres and Soonwon Choi},
  journal= {arXiv preprint arXiv:2205.12211},
  year   = {2023}
}

Comments

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