Measurement-based adaptation protocol with quantum reinforcement learning

no code implementations • 14 Mar 2018 • F. Albarrán-Arriagada, J. C. Retamal, E. Solano, L. Lamata

In our protocol, we consider a system composed of three parts, the "environment" system, which provides the reference state copies; the register, which is an auxiliary subsystem that interacts with the environment to acquire information from it; and the agent, which corresponds to the quantum state that is adapted by digital feedback with input corresponding to the outcome of the measurements on the register.

reinforcement-learning Reinforcement Learning (RL)