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Quantum Optimally Controlled Transition Landscapes
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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Cites
Shaped-pulse optimization of coherent emission of high-harmonic soft X-rays
Bartels, R., Backus, S., Zeek, E., Misoguti, L., Vdovin, G., Christov, I. P., Murnane, M. M., & Kapteyn, H. C. (2000) · Nature · doi:10.1038/35018029 · Cited by 713
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A Survey on quantum computing technology
Gyongyosi, L., & Imre, S. (2019) · Computer Science Review · doi:10.1016/j.cosrev.2018.11.002 · Cited by 646
Quantum control theory and applications: a survey
Dong, D., & Petersen, I. R. (2010) · IET Control Theory & Applications · doi:10.1049/iet-cta.2009.0508 · Cited by 601
Quantum approximate optimization algorithm for MaxCut: A fermionic view
Wang, Z., Hadfield, S., Jiang, Z., & Rieffel, E. G. (2018) · Physical Review A · doi:10.1103/physreva.97.022304 · Cited by 353
High-NA achromatic metalenses by inverse design
Chung, H., & Miller, O. D. (2020) · Optics Express · doi:10.1364/oe.385440 · Cited by 306
Quantum feedback: Theory, experiments, and applications
Zhang, J., Liu, Y.-X., Wu, R.-B., Jacobs, K., & Nori, F. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.02.003 · Cited by 272
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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- 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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