activity
20042015
most citedQuantum reinforcement learning

418 citations · 804 across the 25 of their papers we have counts for

collaborators

25 papers

quant-ph2015★ 13 cited

Non-Markovian coherent feedback control of quantum dot systems

Shibei Xue, Re-Bing Wu, Michael R. Hush +1

This paper presents a non-Markovian coherent feedback scheme to control single quantum dot systems. The feedback loop is closed via a quantum tunneling junction between the natural…

quant-ph2014

Signal Flows in Non-Markovian Linear Quantum Feedback Networks

Re-Bing Wu, Jing Zhang, Yu-xi Liu +1

Enabled by rapidly developing quantum technologies, it is possible to network quantum systems at a much larger scale in the near future. To deal with non-Markovian dynamics that is…

quant-ph2014★ 4 cited

Nonlinear quantum input-output analysis using Volterra series

Jing Zhang, Yu-xi Liu, Re-Bing Wu +5

Quantum input-output theory plays a very important role for analyzing the dynamics of quantum systems, especially large-scale quantum networks. As an extension of the input-output…

quant-ph2014

Set Stabilizability of Quantum Systems

Ming Zhang, Zairong Xi, Tzyh-Jong Tarn

We explore set-stabilizability by constrained controls, and both controllability and stabilizability can be regarded as the special case of set-stabilizability. We not only clarify…

cond-mat.mes-hall2012

Suppressing nano-scale stick-slip motion by feedback

Jing Zhang, Re-Bing Wu, Lei Miao +4

When a micro cantilever with a nano-scale tip is manipulated on a substrate with atomic-scale roughness, the periodic lateral frictional force and stochastic fluctuations may induc…

quant-ph2011★ 63 cited

Quantum Coherent Nonlinear Feedbacks with Applications to Quantum Optics on Chip

Jing Zhang, Re-Bing Wu, Yu-xi Liu +2

In the control of classical mechanical systems, the feedback has been successfully applied to the production of the desired nonlinear dynamics. However, how much this can be done i…