A multi-task SAC RL model discovers control pulses, evolution time, and segment numbers for 51 open quantum Hamiltonians, achieving high fidelity state transfer with better robustness to noise than GRAPE.
Optimal control of quantum state preparation and entanglement creation in two-qubit quantum system with bounded amplitude.Scientific Reports13, 14734 (2023)
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Adaptive Reinforcement Learning for Robust Open Quantum System Control: A Multi-Task Framework with Temporal Optimization
A multi-task SAC RL model discovers control pulses, evolution time, and segment numbers for 51 open quantum Hamiltonians, achieving high fidelity state transfer with better robustness to noise than GRAPE.