Training variational quantum circuits is difficult. A solution to the barren plateaus could be quantum reservoir computing (QRC), which requires minimal training or precise control, making it promising for practical quantum advantage. This project explores QRC on NISQ devices through experiments, theory, and simulations:
(i) Conducting proof-of-concept experiments with muons and cold atoms.
(ii) Investigating connections between reservoir computing and quantum computing.
(iii) Simulating various QRC models to evaluate their utility.
By integrating these approaches, we aim to assess the potential of QRC for achieving practical quantum advantage.