9 papers
Tractable Infinite-Horizon Stochastic Model Predictive Control for Quantum Filtering via Eigenstate Reduction
Yunyan Lee, Ian R. Petersen, Daoyi Dong
Model predictive control has shown potential to enhance the robustness of quantum control systems. In this work, we propose a tractable Stochastic Model Predictive Control (SMPC) f…
Generalized collective quantum tomography: algorithm design, optimization, and validation
Shuixin Xiao, Yuanlong Wang, Zhibo Hou +6
Quantum tomography is a fundamental technique for characterizing, benchmarking, and verifying quantum states and devices. It plays a crucial role in advancing quantum technologies…
Parameter Estimation for Jump-Diffusion Stochastic Master Equations
Weichao Liang, Shuixin Xiao, Daoyi Dong +1
This paper investigates parameter estimation for open quantum systems under continuous observation, whose conditional dynamics are governed by jump-diffusion stochastic master equa…
Unified formalism and adaptive algorithms for optimal quantum state, detector and process tomography
Shuixin Xiao, Xiangyu Wang, Yuanlong Wang +8
Quantum tomography is a standard technique for characterizing, benchmarking and verifying quantum systems/devices and plays a vital role in advancing quantum technology and underst…
Time-Optimal Control of Finite Dimensional Open Quantum Systems via a Model Predictive Strategy
Yunyan Lee, Ian R. Petersen, Daoyi Dong
To mitigate dissipative effects from environmental interactions and efficiently stabilize quantum states, time-optimal control has emerged as an effective strategy for open quantum…
Robust Variational Ground-State Solvers via Dissipative Quantum Feedback Models
Yunyan Lee, Ian R. Petersen, Daoyi Dong
We propose a variational framework for solving ground-state problems of open quantum systems governed by quantum stochastic differential equations (QSDEs). This formulation natural…