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arXiv · 2205.15003

Running the Dual-PQC GAN on noisy simulators and real quantum hardware

Su Yeon Chang·Edwin Agnew·Elías F. Combarro·Michele Grossi·Steven Herbert·Sofia Vallecorsa
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Abstract

In an earlier work, we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of a 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.

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Su Yeon Chang, Edwin Agnew, Elías F. Combarro, Michele Grossi, Steven Herbert, Sofia Vallecorsa. 2022-05-30. Running the Dual-PQC GAN on noisy simulators and real quantum hardware. https://doi.org/10.1088/1742-6596%2F2438%2F1%2F012062

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