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Trapped Ion Quantum Computing

Hardware-Efficient Randomized Compiling

arXiv
Authors: Neelay Fruitwala, Akel Hashim, Abhi D. Rajagopala, Yilun Xu, Jordan Hines, Ravi K. Naik, Irfan Siddiqi, Katherine Klymko, Gang Huang, Kasra Nowrouzi

Year

2024

Paper ID

66310

Status

Preprint

Abstract Read

~2 min

Abstract Words

134

Citations

N/A

Abstract

Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead - namely, it scales linearly in the number of desired randomizations, each of which must be generated and measured independently. In this work, we introduce a hardware-efficient algorithm for performing RC on a cycle-by-cycle basis on the lowest level of our FPGA-based control hardware during the execution of a circuit. Importantly, this algorithm performs a different randomization per shot with zero runtime overhead beyond measuring a circuit without RC. We implement our algorithm using the QubiC control hardware, where we demonstrate significant reduction in the overall runtime of circuits implemented with RC, as well as a significantly lower variance in measured observables.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels.

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