Pith. sign in

REVIEW 1 cited by

Error-mitigated entanglement-assisted quantum process tomography

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 2502.10715 v1 pith:5WCKEYUI submitted 2025-02-15 quant-ph

classification quant-ph
keywords quantumprocessprocessesstatetomographycnotem-eaptentanglement-assisted
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

In the era of noisy intermediate-scale quantum computing, it is of crucial importance to verify quantum processes and extract information. Quantum process tomography is a typical approach, however, both resource-intensive and vulnerable to state preparation and measurement errors. Here, we propose an error-mitigated entanglement-assisted quantum process tomography (EM-EAPT) framework to address these limitations. By leveraging a maximally entangled state to reduce state preparation complexity and integrating error mitigation techniques, our method significantly enhances robustness against SPAM errors. Experimental validation on a superconducting processor demonstrates the efficacy of EM-EAPT for two-qubit and three-qubit quantum processes. Results show more accurate average gate fidelities close to the realistic estimation, achieving 98.1$\pm$ 0.03% for a CNOT gate and 88.1%$\pm$ 0.04% for a cascaded CNOT process after error mitigation, compared to non-mitigated implementations. This work advances practical quantum verification tools for NISQ devices, enabling higher-fidelity characterization of quantum processes under realistic noise conditions.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Procrustes Tomography -- reconstructing noisy quantum channels made easy

    quant-ph 2026-07 conditional novelty 5.0 of 10

    Procrustes tomography reconstructs quantum process matrices as the least-squares map between input and output density matrices and matches or exceeds standard methods under sampling and preparation noise.

Pith tools