619 citations · 3.6k across the 84 of their papers we have counts for
85 papers
Robust Quantum Control via a Model Predictive Control Strategy
Yunyan Lee, Ian R. Petersen, Daoyi Dong
This article presents a robust control strategy using Time-Optimal Model Predictive Control (TOMPC) for a two-level quantum system subject to bounded uncertainties. In this method,…
Quantum autoencoders using mixed reference states
Hailan Ma, Gary J. Mooney, Ian R. Petersen +2
One of the fundamental tasks in quantum information theory is quantum data compression, which can be realized via quantum autoencoders that first compress quantum states to low-dim…
Two-step feedback preparation of entanglement for qubit systems with time delay
Yanan Liu, Daoyi Dong, Sen Kuang +2
Quantum entanglement plays a fundamental role in quantum computation and quantum communication. Feedback control has been widely used in stochastic quantum systems to generate give…
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 Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Zhi Wang, Chunlin Chen, Daoyi Dong
While reinforcement learning (RL) algorithms are achieving state-of-the-art performance in various challenging tasks, they can easily encounter catastrophic forgetting or interfere…
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning
Jinmei Liu, Zhi Wang, Chunlin Chen +1
Bayesian policy reuse (BPR) is a general policy transfer framework for selecting a source policy from an offline library by inferring the task belief based on some observation sign…