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Trapped Ion Quantum Computing

Theory of mirror benchmarking and demonstration on a quantum computer

arXiv
Authors: Karl Mayer, Alex Hall, Thomas Gatterman, Si Khadir Halit, Kenny Lee, Justin Bohnet, Dan Gresh, Aaron Hankin, Kevin Gilmore, Justin Gerber, John Gaebler

Year

2021

Paper ID

62156

Status

Preprint

Abstract Read

~2 min

Abstract Words

149

Citations

N/A

Abstract

A new class of protocols called mirror benchmarking was recently proposed to measure the system-level performance of quantum computers. These protocols involve circuits with random sequences of gates followed by mirroring, that is, inverting each gate in the sequence. We give a simple proof that mirror benchmarking leads to an exponential decay of the survival probability with sequence length, under the uniform noise assumption, provided the twirling group forms a 2-design. The decay rate is determined by a quantity that is a quadratic function of the error channel, and for certain types of errors is equal to the unitarity. This result yields a new method for estimating the coherence of noise. We present data from mirror benchmarking experiments run on the Honeywell System Model H1. This data constitutes a set of performance curves, indicating the success probability for random circuits as a function of qubit number and circuit depth.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • A new class of protocols called mirror benchmarking was recently proposed to measure the system-level performance of quantum computers.

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