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Cited by 434

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Quantum Optimally Controlled Transition Landscapes

Rabitz, Herschel A., Hsieh, Michael M., Rosenthal, Carey M.·2004·Science

Abstract

A large number of experimental studies and simulations show that it is surprisingly easy to find excellent quality control over broad classes of quantum systems. We now prove that for controllable quantum systems with no constraints placed on the controls, the only allowed extrema of the transition probability landscape correspond to perfect control or no control. Under these conditions, no suboptimal local extrema exist as traps that would impede the search for an optimal control. The identified landscape structure is universal for all controllable quantum systems of the same dimension when seeking to maximize the same transition probability, regardless of the detailed nature of the system Hamiltonian. The presence of weak control field noise or environmental decoherence is shown to preserve the general structure of the control landscape, but at lower resolution.

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Metadata

Authors
Rabitz, H. A., Hsieh, M. M., & Rosenthal, C. M.
Venue
Science
Published
2004-03-26
Volume
303
Issue
5666
Pages
1998-2001
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2089530258
Cited by
434
References
1
FWCI
26.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quantum Optimally Controlled Transition Landscapes. https://app.cochat.ai/papers/10.1126/science.1093649
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Rabitz, H. A., Hsieh, M. M., & Rosenthal, C. M. (2004). Quantum Optimally Controlled Transition Landscapes. Science. https://doi.org/10.1126/science.1093649

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.