52 citations · 81 across the 9 of their papers we have counts for
6 papers · 1 filter
Robust optimization for quantum reinforcement learning control using partial observations
Chen Jiang, Yu Pan, Zheng-Guang Wu +2
The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum sta…
A Quantum Convolutional Neural Network for Image Classification
Yanxuan Lü, Qing Gao, Jinhu Lü +2
Artificial neural networks have achieved great success in many fields ranging from image recognition to video understanding. However, its high requirements for computing and memory…
Fault-tolerant Coherent H-infinity Control for Linear Quantum Systems
Yanan Liu, Daoyi Dong, Ian R. Petersen +4
Robustness and reliability are two key requirements for developing practical quantum control systems. The purpose of this paper is to design a coherent feedback controller for a cl…
An Improved Quantum Projection Filter
Qing Gao, Guofeng Zhang, Ian R. Petersen
This work extends the previous quantum projection filtering scheme in [Gao Q., Zhang G., & Petersen I. R. (2019). An exponential quantum projection filter for open quantum systems.…
Hybrid Filtering for a Class of Quantum Systems with Classical Disturbances
Qi Yu, Daoyi Dong, Ian R. Petersen +1
A filtering problem for a class of quantum systems disturbed by a classical stochastic process is investigated in this paper. The classical disturbance process, which is assumed to…
Fault Tolerant Filtering and Fault Detection for Quantum Systems Driven By Fields in Single Photon States
Qing Gao, Daoyi Dong, Ian R. Petersen +1
The purpose of this paper is to solve a fault tolerant filtering and fault detection problem for a class of open quantum systems driven by a continuous-mode bosonic input field in…