102 citations · 169 across the 14 of their papers we have counts for
4 papers · 2 filters
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…