From the 1 of 4 linked papers with an AI index.
4 papers
Forked Physics-Informed Neural Networks for Non-Markovian Open Quantum Dynamics and Control
Zhao-Wei Wang, Kai-Yu Yuan, Feng-Hua Ren +1
The paper introduces a forked physics-informed neural network (FPINN) that jointly simulates and controls non‑Markovian open quantum systems by decoupling optimization objectives,…
Nonperturbative Leakage Elimination Operator-Based Quantum Control Pulse Design Beyond the High Frequency Driving Regime
Hang Yu, Kai-Yu Yuan, Feng-Hua Ren +1
Precise quantum pulse design is central to achieving high precision quantum control, while level leakage induced by system environment coupling is the bottleneck limiting control p…
End-to-End Learning of Quantum Control on Latent Dynamical Manifold
Jun-Dong Zhong, Zong-Yuan Ge, Feng-Hua Ren +1
Traditional quantum control relies on an iterative "simulate-then-optimize" paradigm, where dynamics simulation and control design are decoupled, leading to substantial computation…
Realizing leakage elimination operator-based adiabatic speedup on a superconducting quantum processor
Jia-Yi Fan, Kai-Yu Yuan, Zong-Yuan Ge +2
The slow evolution required for adiabaticity in adiabatic quantum computation renders the system vulnerable to environmental noise. Leakage elimination operator (LEO) control provi…