Mitigating Errors on Superconducting Quantum Processors Through Fuzzy Clustering

Author:

Ahmad Halima G.12ORCID,Schiattarella Roberto1ORCID,Mastrovito Pasquale12ORCID,Chiatto Angela1ORCID,Levochkina Anna12ORCID,Esposito Martina2ORCID,Montemurro Domenico1ORCID,Pepe Giovanni P.12ORCID,Bruno Alessandro3ORCID,Tafuri Francesco14ORCID,Vitiello Autilia1ORCID,Acampora Giovanni1ORCID,Massarotti Davide25ORCID

Affiliation:

1. Dipartimento di Fisica “Ettore Pancini” Università degli Studi di Napoli Federico II Monte S. Angelo, Via Cinthia Napoli I‐80126 Italy

2. CNR‐SPIN, UOS Napoli Monte S. Angelo, via Cinthia Napoli I‐80126 Italy

3. QuantWare Elektronicaweg 10 Delft 2628 XG The Netherlands

4. Consiglio Nazionale delle Ricerche‐Istituto Nazionale di Ottica (CNR‐INO) Largo Enrico Fermi 6 Florence I‐50125 Italy

5. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione Università degli Studi di Napoli Federico II Via Claudio Napoli I‐80125 Italy

Abstract

AbstractQuantum utility is severely limited in superconducting quantum hardware until now by the modest number of qubits and the relatively high level of control and readout errors, due to the intentional coupling with the external environment required for manipulation and readout of the qubit states. Practical applications in the Noisy Intermediate Scale Quantum (NISQ) era rely on Quantum Error Mitigation (QEM) techniques, which are able to improve the accuracy of the expectation values of quantum observables by implementing classical post‐processing analysis from an ensemble of repeated noisy quantum circuit runs. In this work, a recent QEM technique that uses Fuzzy C‐Means (FCM) clustering to specifically identify measurement error patterns is focused. For the first time, a proof‐of‐principle validation of the technique on a two‐qubit register, obtained as a subset of a real NISQ five‐qubit superconducting quantum processor based on transmon qubits is reported. It is demonstrated that the FCM‐based QEM technique allows for reasonable improvement of the expectation values of single‐ and two‐qubit gates‐based quantum circuits, without necessarily invoking state‐of‐the‐art coherence, gate, and readout fidelities.

Funder

Università degli Studi di Napoli Federico II

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantum Computational Intelligence Techniques: A Scientometric Mapping;Archives of Computational Methods in Engineering;2024-09-07

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