论文标题
在嘈杂的模拟器和实际量子硬件上运行双PQC gan
Running the Dual-PQC GAN on noisy simulators and real quantum hardware
论文作者
论文摘要
在较早的工作中，我们引入了双参数化量子电路（PQC）生成对抗网络（GAN），这是量子GAN的高级原型。我们将模型应用于现实的高能物理（HEP）用例：量热计响应的确切理论模拟，问题大小减少。本文通过在存在不同类型的量子噪声的情况下测试其性能，探索了双PQC GAN，以实现更实际的用法，这是使用近期量子设备成功部署的主要障碍。结果提出了在当前实际硬件上运行该模型的可能性，但是在某些领域仍需要改进。
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.
