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
Physics-informed neural networks (PINNs) provide a pathway to reunify the simulation and control of quantum systems, in which these two tasks are typically decoupled in traditional…
quant-ph2026
Higher-Order Magnus Corrections to Leakage Elimination Operator-Based Quantum Control Pulse Design in the Low-Frequency Regime
Hang Yu, Kai-Yu Yuan, Feng-Hua Ren +1
Effective quantum control is essential for quantum computing and information processing, yet level leakage remains a bottleneck limiting control fidelity. The leakage elimination o…
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…