102 citations · 169 across the 14 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
quant-ph2021★ 13 cited
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…
cs.LG2021★ 3 cited
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…
quant-ph2021★ 5 cited
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…