Quantum feedback: theory, experiments, and applications

By Jing Zhang, Yu-xi Liu, Re-Bing Wu, Kurt Jacobs, Franco Nori. 2014

329 citations recorded by the source corpus.

The control of individual quantum systems is now a reality in a variety of physical settings. Feedback control is an important class of control methods because of its ability to reduce the effects of noise. In this review we give an introductory overview of the various ways in which feedback may be implemented in quantum systems, the theoretical methods that are currently used to treat it, the experiments in which it has been demonstrated to-date, and its applications. In the last few years there has been rapid experimental progress in the ability to realize quantum measurement and control of mesoscopic systems. We expect that the next few years will see further rapid advances in the precision and sophistication of feedback control protocols realized in the laboratory.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/e554f64252b4b43a62b1843aebaab4d3f3dc49b8

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Superconducting quantum computing: a review (2020, background): “[117] Zhang, J.”
Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe (2022, methodology): “The next generation of algorithms will have to take measurement data into account in the design of the control protocol [653].”