Contribution to a conference proceedings/Journal Article

PUBDB-2025-02232

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Impact of quantum noise on the training of quantum Generative Adversarial Networks

Borras, K.DESY* ; Chang, S. Y. (Corresponding author) ; Funcke, L. ; Grossi, M. ; Hartung, T. ; Jansen, K.DESY* ; Kruecker, D.DESY* ; Kühn, S.DESY* ; Rehm, F.Extern* ; Tüysüz, C. ; Vallecorsa, S.

2023
IOP Publ. Bristol

This record in other databases:      

Please use a persistent id in citations: doi:10.1088/1742-6596/2438/1/012093  doi:10.3204/PUBDB-2025-02232

Report No.: MIT-CTP/5400; arXiv:2203.01007

Abstract: Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different error mitigation and error correction techniques have been proposed. In this paper, we conduct a first study of the performance of quantum Generative Adversarial Networks (qGANs) in the presence of different types of quantum noise, focusing on a simplified use case in high-energy physics. In particular, we explore the effects of readout and two-qubit gate errors on the qGAN training process. Simulating a noisy quantum device classically with IBM’s Qiskit framework, we examine the threshold of error rates up to which a reliable training is possible. In addition, we investigate the importance of various hyperparameters for the training process in the presence of different error rates, and we explore the impact of readout error mitigation on the results.

Keyword(s): noise: quantum ; readout: error ; correction: error ; network ; performance

Note: 6 pages, 5 figures, Proceedings of the 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021)

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Contributing Institute(s):

1. LHC/CMS Experiment (CMS)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)

Experiment(s):

1. No specific instrument

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Database coverage:
; ; ; Nationallizenz ; SCOPUS

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Borras, K.DESY* ; Chang, S. Y. (Corresponding author)Extern* ; Funcke, L. ; Grossi, M. ; Hartung, T. ; Jansen, K.DESY* ; Kruecker, D.DESY* ; Kühn, S. ; Rehm, F. ; Tüysüz, C.Extern*DESY* ; Vallecorsa, S.
Impact of quantum noise on the training of quantum Generative Adversarial Networks
202120th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2021, DaejeonDaejeon, Korea, Republic of, 29 Nov 2021 - 3 Dec 20212021-11-292021-12-03 [10.3204/PUBDB-2022-05149]     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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