Preprint
Jul 2026
Forked Physics-Informed Neural Networks for Non-Markovian Open Quantum Dynamics and Control
This work extends the previously proposed forked PINN (FPINN) by incorporating a dedicated control branch, and turns a previously intractable multi-task optimization into a well-conditioned one, allowing simulation and control to be optimized jointly without compromise.
Zhao-Wei Wang, Kai Yuan, Feng-Hua Ren et al.
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