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Open Quantum Systems Decoherence Quantum Machine Learning

Optimal identification of Hamiltonian information by closed-loop laser control of quantum systems.

PubMed
Authors: Geremia JM, Rabitz H

Year

2002

Paper ID

13079

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

71

Citations

69

Abstract

A closed loop learning control concept is introduced for teaching lasers to manipulate quantum systems for the purpose of optimally identifying Hamiltonian information. The closed loop optimal identification algorithm operates by revealing the distribution of Hamiltonians consistent with the data. The control laser is guided to perform additional experiments, based on minimizing the dispersion of the distribution. Operation of such an apparatus is simulated for two model finite dimensional quantum systems.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2002 reference point for readers tracking recent quantum research.
  • A closed loop learning control concept is introduced for teaching lasers to manipulate quantum systems for the purpose of optimally identifying Hamiltonian information.

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Current Paper #13079 #78828 Verifiable Sampling for Delegat... #78813 Large-Scale Benchmarking of Qua... #78775 On linearity or non-linearity i...

External citation index: OpenAlex citation signal • updated 2026-10-21 18:09:07

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