A calibration-aware graph reinforcement-learning router improves exact simulated fidelity by ~0.25-0.29 over SABRE baselines on 5-8 qubit MQT Bench circuits, while 10-qubit circuits still favor SABRE.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
A calibration-aware graph reinforcement-learning router improves exact simulated fidelity by ~0.25-0.29 over SABRE baselines on 5-8 qubit MQT Bench circuits, while 10-qubit circuits still favor SABRE.