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

TL;DR

This paper evaluates the dual-PQC GAN's robustness to quantum noise, demonstrating its potential for real hardware deployment in high-energy physics simulations, while highlighting areas needing improvement.

Contribution

It extends previous work by testing the dual-PQC GAN on noisy simulators and real quantum hardware, addressing practical deployment challenges.

Findings

Model remains functional under quantum noise

Potential for deployment on current hardware

Identifies areas for performance improvement

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.