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AI3SD Video: Learning to Control Quantum Systems Robustly

AI3SD Video: Learning to Control Quantum Systems Robustly
AI3SD Video: Learning to Control Quantum Systems Robustly
Quantum control provides methods to steer the dynamics of quantum systems. The robustness of such controls, in addition to high fidelity, is important for practical applications due to the presence of uncertainties arising from limited knowledge about system and control Hamiltonians, initial state preparation errors, and interactions with the environment leading to decoherence. We introduce a novel robustness measure based on the Wasserstein distance, and discuss structured singular value analysis and log-sensitivity approaches from classical robust control. This is employed to analyse the robustness of controllers found by reinforcement learning and gradient-based optimisation algorithms. Some, not all, high-fidelity controllers are also robust and controllers found by reinforcement learning appear less affected by noise than those found by gradient-based optimisation. We briefly discuss applications in information transfer in spin networks and magnetic resonance spectroscopy.
AI3SD Event, Chemistry, Machine Learning, Quantum
Langbein, Frank C.
67a7b80a-46ff-4d35-852b-771d6c07c8da
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Langbein, Frank C.
67a7b80a-46ff-4d35-852b-771d6c07c8da
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f

Langbein, Frank C. (2021) AI3SD Video: Learning to Control Quantum Systems Robustly. Frey, Jeremy G., Kanza, Samantha and Niranjan, Mahesan (eds.) AI3SD Autumn Seminar Series 2021. 13 Oct - 15 Dec 2021. (doi:10.5258/SOTON/AI3SD0163).

Record type: Conference or Workshop Item (Other)

Abstract

Quantum control provides methods to steer the dynamics of quantum systems. The robustness of such controls, in addition to high fidelity, is important for practical applications due to the presence of uncertainties arising from limited knowledge about system and control Hamiltonians, initial state preparation errors, and interactions with the environment leading to decoherence. We introduce a novel robustness measure based on the Wasserstein distance, and discuss structured singular value analysis and log-sensitivity approaches from classical robust control. This is employed to analyse the robustness of controllers found by reinforcement learning and gradient-based optimisation algorithms. Some, not all, high-fidelity controllers are also robust and controllers found by reinforcement learning appear less affected by noise than those found by gradient-based optimisation. We briefly discuss applications in information transfer in spin networks and magnetic resonance spectroscopy.

Video
AI3SDAutumnSeminar-101121-FrankLangbein - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 10 November 2021
Additional Information: I am a senior lecturer in Computer Science at Cardiff University, where I am a member of the Visual Computing Research Section. I co-lead the Qyber\black international research network in quantum control, which arose from the Quantum Technologies and Engineering research priority area at Cardiff University, and the Healthcare Technologies Research Group at the School of Computer Science and Informatics. My research interests lie in control, machine learning and geometry applied in quantum technologies, visual computing, geometric modelling and healthcare. My teaching responsibilities cover individual and group projects and various programming techniques. See my website Ex Tenebris Scientia for recent results and full details.
Venue - Dates: AI3SD Autumn Seminar Series 2021, 2021-10-13 - 2021-12-15
Keywords: AI3SD Event, Chemistry, Machine Learning, Quantum

Identifiers

Local EPrints ID: 453337
URI: http://eprints.soton.ac.uk/id/eprint/453337
PURE UUID: 63fc4f2e-a4c9-40c4-8685-2e9619ddc754
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X

Catalogue record

Date deposited: 13 Jan 2022 17:39
Last modified: 14 Jan 2022 02:53

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Contributors

Author: Frank C. Langbein
Editor: Jeremy G. Frey ORCID iD
Editor: Samantha Kanza ORCID iD
Editor: Mahesan Niranjan ORCID iD

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