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Energy landscape shaping for robust control of atoms in optical lattices
New Journal of Physics, Volume: 27, Issue: 6, Start page: 064503
Swansea University Author:
Sophie Shermer
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DOI (Published version): 10.1088/1367-2630/addc0d
Abstract
Robust quantum control is crucial for realizing practical quantum technologies. Energy landscape shaping offers an alternative to conventional dynamic control, providing theoretically enhanced robustness and simplifying implementation for certain applications. This work demonstrates the feasibility...
| Published in: | New Journal of Physics |
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| ISSN: | 1367-2630 |
| Published: |
IOP Publishing
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69659 |
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2025-06-10T14:33:44Z |
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2025-06-09T15:50:35.2989376 v2 69659 2025-06-09 Energy landscape shaping for robust control of atoms in optical lattices 6ebef22eb31eafc75aedcf5bfe487777 0000-0002-5530-7750 Sophie Shermer Sophie Shermer true false 2025-06-09 BGPS Robust quantum control is crucial for realizing practical quantum technologies. Energy landscape shaping offers an alternative to conventional dynamic control, providing theoretically enhanced robustness and simplifying implementation for certain applications. This work demonstrates the feasibility of robust energy landscape control in a practical implementation with ultracold atoms. We leverage a digital mirror device (DMD) to shape optical potentials, creating complex energy landscapes. To achieve a desired objective, such as efficient quantum state transfer, we formulate a novel hybrid optimization approach that effectively handles both continuous (laser power) and discrete (DMD pixel activation) control parameters. This approach combines constrained quasi-Newton methods with surrogate models for efficient exploration of the vast parameter space. Furthermore, we introduce a framework for analyzing the robustness of the resulting control schemes against experimental uncertainties. By modeling uncertainties as structured perturbations, we systematically assess controller performance and identify robust solutions. We apply these techniques to maximize spin transfer in a chain of trapped atoms, achieving high-fidelity control while maintaining robustness. Our findings provide insights into the experimental viability of controlled spin transfer in cold atom systems. More broadly, the presented optimization and robustness analysis methods apply to a wide range of quantum control problems, offering a toolkit for designing and evaluating robust controllers in complex experimental settings. Journal Article New Journal of Physics 27 6 064503 IOP Publishing 1367-2630 cold atoms, optical lattices, quantum control, energy landscape 4 6 2025 2025-06-04 10.1088/1367-2630/addc0d COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University SU Library paid the OA fee (TA Institutional Deal) Research Councils UK Grant: EP/Y004728/1 2025-06-09T15:50:35.2989376 2025-06-09T15:39:18.6627477 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics C A Weidner 0000-0001-7776-9836 1 S P O’Neil 0000-0001-6669-4947 2 E A Jonckheere 0000-0002-7205-4273 3 F C Langbein 0000-0002-3379-0323 4 Sophie Shermer 0000-0002-5530-7750 5 69659__34432__0a708238b21043c6a74e4bf2d2c9b0ce.pdf pdf.pdf 2025-06-09T15:39:18.6626746 Output 1131860 application/pdf Version of Record true © 2025 The Author(s). Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. true eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Energy landscape shaping for robust control of atoms in optical lattices |
| spellingShingle |
Energy landscape shaping for robust control of atoms in optical lattices Sophie Shermer |
| title_short |
Energy landscape shaping for robust control of atoms in optical lattices |
| title_full |
Energy landscape shaping for robust control of atoms in optical lattices |
| title_fullStr |
Energy landscape shaping for robust control of atoms in optical lattices |
| title_full_unstemmed |
Energy landscape shaping for robust control of atoms in optical lattices |
| title_sort |
Energy landscape shaping for robust control of atoms in optical lattices |
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6ebef22eb31eafc75aedcf5bfe487777 |
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6ebef22eb31eafc75aedcf5bfe487777_***_Sophie Shermer |
| author |
Sophie Shermer |
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C A Weidner S P O’Neil E A Jonckheere F C Langbein Sophie Shermer |
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Journal article |
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New Journal of Physics |
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27 |
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6 |
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064503 |
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2025 |
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Swansea University |
| issn |
1367-2630 |
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10.1088/1367-2630/addc0d |
| publisher |
IOP Publishing |
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Faculty of Science and Engineering |
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| description |
Robust quantum control is crucial for realizing practical quantum technologies. Energy landscape shaping offers an alternative to conventional dynamic control, providing theoretically enhanced robustness and simplifying implementation for certain applications. This work demonstrates the feasibility of robust energy landscape control in a practical implementation with ultracold atoms. We leverage a digital mirror device (DMD) to shape optical potentials, creating complex energy landscapes. To achieve a desired objective, such as efficient quantum state transfer, we formulate a novel hybrid optimization approach that effectively handles both continuous (laser power) and discrete (DMD pixel activation) control parameters. This approach combines constrained quasi-Newton methods with surrogate models for efficient exploration of the vast parameter space. Furthermore, we introduce a framework for analyzing the robustness of the resulting control schemes against experimental uncertainties. By modeling uncertainties as structured perturbations, we systematically assess controller performance and identify robust solutions. We apply these techniques to maximize spin transfer in a chain of trapped atoms, achieving high-fidelity control while maintaining robustness. Our findings provide insights into the experimental viability of controlled spin transfer in cold atom systems. More broadly, the presented optimization and robustness analysis methods apply to a wide range of quantum control problems, offering a toolkit for designing and evaluating robust controllers in complex experimental settings. |
| published_date |
2025-06-04T05:25:16Z |
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11.090071 |

