102 citations · 169 across the 14 of their papers we have counts for
14 papers
An Irreducible Quantum Advantage in Aligning World Models with Reality
Josep Lumbreras, Hailan Ma, Jayne Thompson +1
World models provide digital simulacra of the true world, allowing agents to be trained and tested before costly real-world deployment. At each time step, they receive an action an…
Robustness analysis in static and dynamic quantum state tomography
Alan Chen, Shuixin Xiao, Hailan Ma +1
Quantum state tomography is a core task in quantum system identification. Real experimental conditions often deviate from nominal designs, introducing errors in both the measuremen…
Machine Learning for Estimation and Control of Quantum Systems
Hailan Ma, Bo Qi, Ian R. Petersen +3
The development of quantum technologies relies on creating and manipulating quantum systems of increasing complexity, with key applications in computation, simulation, and sensing.…
Bounding fidelity in quantum feedback control: theory and applications to Dicke state preparation
Eoin O'Connor, Hailan Ma, Marco G. Genoni
Achieving unit fidelity in quantum state preparation is often impossible in the presence of environmental decoherence. While continuous monitoring and feedback control can improve…
Learning Informative Latent Representation for Quantum State Tomography
Hailan Ma, Zhenhong Sun, Daoyi Dong +1
Quantum state tomography (QST) is the process of reconstructing the complete state of a quantum system (mathematically described as a density matrix) through a series of different…
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…
Tomography of Quantum States from Structured Measurements via quantum-aware transformer
Hailan Ma, Zhenhong Sun, Daoyi Dong +2
Quantum state tomography (QST) is the process of reconstructing the state of a quantum system (mathematically described as a density matrix) through a series of different measureme…
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control
Shumin Zhou, Hailan Ma, Sen Kuang +1
Due to its property of not requiring prior knowledge of the environment, reinforcement learning has significant potential for quantum control problems. In this work, we investigate…
Neural networks for quantum state tomography with constrained measurements
Hailan Ma, Daoyi Dong, Ian R. Petersen +2
Quantum state tomography (QST) aiming at reconstructing the density matrix of a quantum state plays an important role in various emerging quantum technologies. Recognizing the chal…
Deep Reinforcement Learning with Quantum-inspired Experience Replay
Qing Wei, Hailan Ma, Chunlin Chen +1
In this paper, a novel training paradigm inspired by quantum computation is proposed for deep reinforcement learning (DRL) with experience replay. In contrast to traditional experi…
Curriculum-based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X. Ding +1
Deep reinforcement learning has been recognized as an efficient technique to design optimal strategies for different complex systems without prior knowledge of the control landscap…
Learning control of quantum systems using frequency-domain optimization algorithms
Daoyi Dong, Chuan-Cun Shu, Jiangchao Chen +4
We investigate two classes of quantum control problems by using frequency-domain optimization algorithms in the context of ultrafast laser control of quantum systems. In the first…
On compression rate of quantum autoencoders: Control design, numerical and experimental realization
Hailan Ma, Chang-Jiang Huang, Chunlin Chen +4
Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field of quantum informati…
Learning-based Quantum Robust Control: Algorithm, Applications and Experiments
Daoyi Dong, Xi Xing, Hailan Ma +3
Robust control design for quantum systems has been recognized as a key task in quantum information technology, molecular chemistry and atomic physics. In this paper, an improved di…