TY - JOUR
AU - Vallecorsa, Sofia
AB - 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.
TI - Running the Dual-PQC GAN on noisy simulators and real quantum hardware
JO - Quantum Physics
DO - 10.48550/arXiv.2205.15003
DA - 2022-05-30
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/running-the-dual-pqc-gan-on-noisy-simulators-and-real-quantum-hardware-Y1exrEZUcc
VL - 2022
IS - 2205
DP - DeepDyve
ER -