Reliability of analog quantum simulation
Mohan Sarovar, Jun Zhang, Lishan Zeng

TL;DR
This paper investigates the reliability of analog quantum simulators by formalizing their sensitivity to imperfections, emphasizing the role of symmetries, and identifying conditions for robust quantum simulations.
Contribution
It introduces a formal framework to assess AQS reliability, highlighting the importance of symmetries and providing criteria for robustness against hardware imperfections.
Findings
Sensitivity of AQS outputs to parameter variations quantified
Model symmetries are crucial for robustness
Certain quantum many-body models exhibit inherent robustness
Abstract
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 work we formalize the notion of AQS reliability by determining sensitivity of AQS outputs to underlying parameters, and formulate conditions for…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Parallel Computing and Optimization Techniques · Advancements in Semiconductor Devices and Circuit Design
