8 papers
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…
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…
Non-Markovian environment induced anomaly in steady state quantum coherence
Arapat Ablimit, Zhao-Ming Wang, Feng-Hua Ren +2
Environment induced steady state quantum coherence (SSQC) is a captivating phenomenon that challenges conventional understandings of decoherence. In this letter, we delve into the…
Hybrid noise protection of logical qubits for universal quantum computation
Zhao-Ming Wang, Feng-Hua Ren, Mark S. Byrd +1
Quantum computers now show the promise of surpassing any possible classical machine. However, errors limit this ability and current machines do not have the ability to implement er…