Quarl: A Learning-Based Quantum Circuit Optimizer
Quarl: A Learning-Based Quantum Circuit Optimizer
Optimizing quantum circuits is challenging due to the very large search space of functionally equivalent circuits and the necessity of applying transformations that temporarily decrease performance to achieve a final performance improvement. This paper presents Quarl, a learning-based quantum circuit optimizer. Applying reinforcement learning (RL) to quantum circuit optimization raises …