Running the Dual-PQC GAN on noisy simulators and real quantum hardware
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Peer-reviewed
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Abstract
jats:titleAbstract</jats:title> jats:pIn an earlier work [1], we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical simulation of a calorimeter response with a reduced problem size. This paper explores the dual-PQC GAN for a more practical usage by testing its performance in the presence of different types of quantum noise, which are the major obstacles to overcome for successful deployment using near-term quantum devices. The results propose the possibility of running the model on current real hardware, but improvements are still required in some areas.</jats:p>
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5108 Quantum Physics, 51 Physical Sciences
Journal Title
Journal of Physics: Conference Series
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Journal ISSN
1742-6588
1742-6596
1742-6596
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IOP Publishing