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Title: Reliability of analog quantum simulation

Analog quantum simulators (AQS) will likely be the first nontrivial application of quantum technology for predictive simulation. However, there remain questions regarding the degree of confidence that can be placed in the results of AQS since they do not naturally incorporate error correction. Specifically, how do we know whether an analog simulation of a quantum model will produce predictions that agree with the ideal model in the presence of inevitable imperfections? At the same time there is a widely held expectation that certain quantum simulation questions will be robust to errors and perturbations in the underlying hardware. Resolving these two points of view is a critical step in making the most of this promising technology. In this paper we formalize the notion of AQS reliability by determining sensitivity of AQS outputs to underlying parameters, and formulate conditions for robust simulation. Our approach naturally reveals the importance of model symmetries in dictating the robust properties. Finally, to demonstrate the approach, we characterize the robust features of a variety of quantum many-body models.
 [1] ;  [2] ;  [2]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Digital and Quantum Information Systems
  2. Shanghai Jiao Tong Univ. (China). Joint Inst. of UMich-SJTU. Key Lab. of System Control and Information Processing
Publication Date:
Report Number(s):
Journal ID: ISSN 2196-0763; PII: 54; TRN: US1701048
Grant/Contract Number:
AC04-94AL85000; 61673264; 61533012
Published Article
Journal Name:
EPJ quantum technology
Additional Journal Information:
Journal Volume: 4; Journal ID: ISSN 2196-0763
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States); Shanghai Jiao Tong Univ. (China)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA); National Natural Science Foundation of China (NNSFC)
Country of Publication:
United States
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1340238