Quantum Neural Networks: A Comparative Analysis and Noise Robustness
Evaluation
Quantum Neural Networks: A Comparative Analysis and Noise Robustness
Evaluation
In current noisy intermediate-scale quantum (NISQ) devices, hybrid quantum neural networks (HQNNs) offer a promising solution, combining the strengths of classical machine learning with quantum computing capabilities. However, the performance of these networks can be significantly affected by the quantum noise inherent in NISQ devices. In this paper, we conduct …