machine learning 1non-markovian dynamics 1open quantum systems 1physics-informed neural networks 1quantum control 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
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,…
quant-ph2026
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…
quant-ph2026
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…