Work

Logical Randomized Benchmarking

Year: 2017

Type: preprint

Abstract: Extrapolating physical error rates to logical error rates requires many assumptions and thus can radically under- or overestimate the performance of an error correction implementation. We introduce logical randomized benchmarking, a characterization procedure that directly assesses the performance of a quantum error correction implementation at the logical level, and is motivated by a reduction to the well-studied case of physical randomized benchmarking. We show that our method reliably reports logical performance and can estimate the average probability of correctable and uncorrectable errors for a given code and physical channel.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1702.03688

Authors: Combes, Joshua, Granade, Christopher, Ferrie, Christopher, Flammia, Steven T.

Institutions: The University of Sydney, Massachusetts Institute of Technology

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Innovation, Science and Economic Development Canada, Government of Canada, Institut Périmètre de physique théorique, Army Research Office

Awards: G7749294, G8635998262

OpenAlex ID: W2596337598

Cites: 28

Cited by: 59

Related to: 10