Wan-Su Bao

A graph-based reinforcement-learning framework for logical qubit allocation in fault-tolerant quantum architectures

A graph-based reinforcement-learning framework is proposed in which a graph neural network is first pretrained to predict the ancilla-qubit cost of circuit-allocation pairs from allocation-aware circuit graphs, and the resulting encoder is transferred to a reinforcement learning agent that assigns tiles one at a time.