Sumin Jin

Quantum circuit optimization using deep reinforcement learning: Applications across multiple gate sets

A reinforcement learning framework that embeds a deterministic Commutation-and-Reduction (CR) algorithm directly into the training environment, enabling the agent to focus its learning capacity on the non-trivial optimizations where reinforcement learning adds real value.