Push-pull optimization of quantum controls
Optimization of quantum controls to achieve a target process is centered around an objective function comparing the realized process with the target. We propose an objective function that incorporates not only the target operator but also a set of its orthogonal operators whose combined influence le...
| Hauptverfasser: | , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
American Physical Society
2020-03-01
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| Schriftenreihe: | Physical Review Research |
| Online Zugang: | http://doi.org/10.1103/PhysRevResearch.2.013314 |
| _version_ | 1827286270457413632 |
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| author | Priya Batra V. R. Krithika T. S. Mahesh |
| author_facet | Priya Batra V. R. Krithika T. S. Mahesh |
| author_sort | Priya Batra |
| collection | DOAJ |
| description | Optimization of quantum controls to achieve a target process is centered around an objective function comparing the realized process with the target. We propose an objective function that incorporates not only the target operator but also a set of its orthogonal operators whose combined influence leads to an efficient exploration of the parameter space, faster convergence, and extraction of superior solutions. The push-pull optimization, as we call it, can be adopted in various quantum control scenarios. We describe adopting it for gradient based and variational-principle based approaches. Numerical analysis of quantum registers with up to seven qubits reveals significant benefits of the push-pull optimization. We describe applying the push-pull optimization to prepare a long-lived singlet order in a two-qubit system using NMR techniques. |
| first_indexed | 2024-04-24T10:28:35Z |
| format | Article |
| id | doaj.art-db5571dac8f74e80ada8d30d0c23a96b |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:28:35Z |
| publishDate | 2020-03-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-db5571dac8f74e80ada8d30d0c23a96b2024-04-12T16:51:26ZengAmerican Physical SocietyPhysical Review Research2643-15642020-03-012101331410.1103/PhysRevResearch.2.013314Push-pull optimization of quantum controlsPriya BatraV. R. KrithikaT. S. MaheshOptimization of quantum controls to achieve a target process is centered around an objective function comparing the realized process with the target. We propose an objective function that incorporates not only the target operator but also a set of its orthogonal operators whose combined influence leads to an efficient exploration of the parameter space, faster convergence, and extraction of superior solutions. The push-pull optimization, as we call it, can be adopted in various quantum control scenarios. We describe adopting it for gradient based and variational-principle based approaches. Numerical analysis of quantum registers with up to seven qubits reveals significant benefits of the push-pull optimization. We describe applying the push-pull optimization to prepare a long-lived singlet order in a two-qubit system using NMR techniques.http://doi.org/10.1103/PhysRevResearch.2.013314 |
| spellingShingle | Priya Batra V. R. Krithika T. S. Mahesh Push-pull optimization of quantum controls Physical Review Research |
| title | Push-pull optimization of quantum controls |
| title_full | Push-pull optimization of quantum controls |
| title_fullStr | Push-pull optimization of quantum controls |
| title_full_unstemmed | Push-pull optimization of quantum controls |
| title_short | Push-pull optimization of quantum controls |
| title_sort | push pull optimization of quantum controls |
| url | http://doi.org/10.1103/PhysRevResearch.2.013314 |
| work_keys_str_mv | AT priyabatra pushpulloptimizationofquantumcontrols AT vrkrithika pushpulloptimizationofquantumcontrols AT tsmahesh pushpulloptimizationofquantumcontrols |