7 papers
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…
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…
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…
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…
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.…