Literature DB >> 33258616

Bayesian Optimal Control of Greenberger-Horne-Zeilinger States in Rydberg Lattices.

Rick Mukherjee1, Harry Xie1, Florian Mintert1.   

Abstract

The ability to prepare nonclassical states in a robust manner is essential for quantum sensors beyond the standard quantum limit. We demonstrate that Bayesian optimal control is capable of finding control pulses that drive trapped Rydberg atoms into highly entangled Greenberger-Horne-Zeilinger states. The control sequences have a physically intuitive functionality based on the quasi-integrability of the Ising dynamics. They can be constructed in laboratory experiments, resulting in preparation times that scale very favorably with the system size.

Year:  2020        PMID: 33258616     DOI: 10.1103/PhysRevLett.125.203603

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Deep learning enhanced Rydberg multifrequency microwave recognition.

Authors:  Zong-Kai Liu; Li-Hua Zhang; Bang Liu; Zheng-Yuan Zhang; Guang-Can Guo; Dong-Sheng Ding; Bao-Sen Shi
Journal:  Nat Commun       Date:  2022-04-14       Impact factor: 17.694

  1 in total

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