Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

arXiv:2402.13754v1 Announce Type: cross
Abstract: A significant hurdle in the noisy intermediate-scale quantum (NISQ) era is identifying functional quantum circuits. These circuits must also adhere to the constraints imposed by current quantum hardware limitations. Variational quantum algorithms (VQAs), a class of quantum-classical optimization algorithms, were developed to address these challenges in the currently available quantum devices. However, the overall performance of VQAs depends on the initialization strategy of the variational circuit, the structure of the circuit (also known as ansatz), …

abstract algorithms architecture arxiv challenges class constraints cs.ai cs.lg current functional hardware intermediate limitations nisq optimization quant-ph quantum reinforcement reinforcement learning scale search type