Reinforcement learning cuts gate count for 4-qubit states
A group at École Polytechnique reported using reinforcement learning to prepare four-qubit quantum states with a reduced number of gates. The abstract describes the method as more efficient but does not include specific gate-count reductions.
This could lead to RL-based compilation passes that automatically shorten state-preparation circuits for near-term quantum processors.