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Guardians of the Quantum GAN
April 26, 2024, 4:42 a.m. | Archisman Ghosh, Debarshi Kundu, Avimita Chatterjee, Swaroop Ghosh
cs.LG updates on arXiv.org arxiv.org
Abstract: Quantum Generative Adversarial Networks (qGANs) are at the forefront of image-generating quantum machine learning models. To accommodate the growing demand for Noisy Intermediate-Scale Quantum (NISQ) devices to train and infer quantum machine learning models, the number of third-party vendors offering quantum hardware as a service is expected to rise. This expansion introduces the risk of untrusted vendors potentially stealing proprietary information from the quantum machine learning models. To address this concern we propose a novel …
abstract adversarial arxiv cs.ar cs.cr cs.lg demand devices gan generative generative adversarial networks guardians hardware image intermediate machine machine learning machine learning models networks nisq quant-ph quantum scale service train type vendors
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