Randomized Benchmarking Beyond Groups
Jianxin Chen, Dawei Ding, Cupjin Huang

TL;DR
This paper introduces a universal randomized benchmarking framework that extends beyond group-based methods, enabling scalable and flexible quantum operation evaluation through twirling schemes and channel analysis.
Contribution
It formulates a group-independent RB framework, broadening the scope of benchmarking schemes and providing a mathematical foundation for analyzing their behavior.
Findings
The framework encompasses most existing benchmarking schemes.
Twirling schemes exhibit exponential decay in measurement probability.
Matrix perturbation theory is used to analyze the schemes' stability.
Abstract
Randomized benchmarking (RB) is the gold standard for experimentally evaluating the quality of quantum operations. The current framework for RB is centered on groups and their representations, but this can be problematic. For example, Clifford circuits need up to gates, and thus Clifford RB cannot scale to larger devices. Attempts to remedy this include new schemes such as linear cross-entropy benchmarking (XEB), cycle benchmarking, and non-uniform RB, but they do not fall within the group-based RB framework. In this work, we formulate the \emph{universal randomized benchmarking (URB) framework} which does away with the group structure and also replaces the recovery gate plus measurement component with a general ``post-processing'' POVM. Not only does this framework cover most of the existing benchmarking schemes, but it also gives the language for and helps inspire the…
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Taxonomy
TopicsAuction Theory and Applications
