Pith. sign in

REVIEW 1 cited by

A Practical Framework for Quantum Error Mitigation

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2110.05389 v3 pith:UDZXSVZ7 submitted 2021-10-11 quant-ph

classification quant-ph
keywords mitigationquantumerrorframeworkpracticalschemesextractionrate
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Quantum error mitigation is expected to play a crucial role in the practical applications of quantum machines for the foreseeable future. Thus it is important to put the numerous quantum error mitigation schemes proposed under a coherent framework that can highlight their underlying connections while providing guidance for their practical performance. In this article, we construct a general framework named linear quantum error mitigation that includes most of the state-of-the-art quantum error mitigation schemes. Within the framework, quantum error mitigation can be effectively viewed as extracting the error-mitigated state out of the noisy state, which introduces a new metric called extraction rate for indicating the cost-effectiveness of a given mitigation scheme. Using the framework, we have derived and compared the extraction rate, improvement in the fidelity and sampling overhead across various mitigation schemes under practical assumptions. The structure, insights and intuitions provided by the framework can serve as a basis for the further development of new schemes.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Classically Augmented Zero-Noise Extrapolation

    quant-ph 2026-07 conditional novelty 5.0 of 10

    Classically Augmented Zero-Noise Extrapolation replaces high-noise Richardson nodes with classically simulated estimates, yielding exponential sampling-variance reduction for linear node spacings at fixed cutoff.

Pith tools