Running the Dual-PQC GAN on noisy simulators and real quantum hardware
In 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.
WOS:001026601300062
2023-01-01
Bristol
Journal of Physics Conference Series
2438
012062
REVIEWED
Event name | Event place | Event date |
ELECTR NETWORK | Nov 29-Dec 03, 2021 | |