Noise-aware neural networks can design pulse sequences for qubit state preparation, with DRL better in weak noise and SL better in strong noise.
When does reinforcement learning stand out in quantum con- trol? a comparative study on state preparation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
Noise-aware neural networks can design pulse sequences for qubit state preparation, with DRL better in weak noise and SL better in strong noise.