Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction
A great many efforts are dedicated to developing noise reduction and mitigation methods. One remarkable achievement in this direction is dynamical decoupling (DD), although its applicability remains limited because fast control is required. Using resource theoretic tools, we show that non-Markoviani...
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sg-ntu-dr.10356-1738632024-03-04T15:35:32Z Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction Berk, Graeme D. Milz, Simon Pollock, Felix A. Modi, Kavan School of Physical and Mathematical Sciences Nanyang Quantum Hub Physics Noise abatement Decoupling methods A great many efforts are dedicated to developing noise reduction and mitigation methods. One remarkable achievement in this direction is dynamical decoupling (DD), although its applicability remains limited because fast control is required. Using resource theoretic tools, we show that non-Markovianity is a resource for noise reduction, raising the possibility that it can be leveraged for noise reduction where traditional DD methods fail. We propose a non-Markovian optimisation technique for finding DD pulses. Using a prototypical noise model, we numerically demonstrate that our optimisation-based methods are capable of drastically improving the exploitation of temporal correlations, extending the timescales at which noise suppression is viable by at least two orders of magnitude, compared to traditional DD which does not use any knowledge of the non-Markovian environment. Importantly, the corresponding tools are built on operational grounds and can be easily implemented to reduce noise in the current generation of quantum devices. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Research Foundation (NRF) Published version G. B. is supported by an Australian Government Research Training Program (RTP) Scholarship. This work is supported by the National Research Foundation, Singapore, and Agency for Science, Technology and Research (A*STAR) under its QEP2.0 programme (NRF2021-QEP2-02-P06), the Singapore Ministry of Education Tier1 Grant RG146/20, grant nos. FQXi-RFP-IPW-1903 (‘Are quantum agents more energetically efficient at making predictions?’) from the Foundational Questions Institute and Fetzer Franklin Fund (a donor-advised fund of Silicon Valley Community Foundation). S. M. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 801110, and the Austrian Federal Ministry of Education, Science and Research (BMBWF). The opinions expressed in this publication are those of the authors, the EU Agency is not responsible for any use that may be made of the information it contains. K.M. is supported through Australian Research Council Future Fellowship FT160100073 and Discovery Project DP210100597. K.M. was a recipient of the International Quantum U Tech Accelerator award by the US Air Force Research Laboratory. 2024-03-04T02:46:06Z 2024-03-04T02:46:06Z 2023 Journal Article Berk, G. D., Milz, S., Pollock, F. A. & Modi, K. (2023). Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction. Npj Quantum Information, 9(1). https://dx.doi.org/10.1038/s41534-023-00774-w 2056-6387 https://hdl.handle.net/10356/173863 10.1038/s41534-023-00774-w 2-s2.0-85174469476 1 9 en NRF2021-QEP2-02-P06 RG146/20 npj Quantum Information © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http:// creativecommons.org/licenses/by/4.0/. application/pdf |
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Physics Noise abatement Decoupling methods Berk, Graeme D. Milz, Simon Pollock, Felix A. Modi, Kavan Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
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A great many efforts are dedicated to developing noise reduction and mitigation methods. One remarkable achievement in this direction is dynamical decoupling (DD), although its applicability remains limited because fast control is required. Using resource theoretic tools, we show that non-Markovianity is a resource for noise reduction, raising the possibility that it can be leveraged for noise reduction where traditional DD methods fail. We propose a non-Markovian optimisation technique for finding DD pulses. Using a prototypical noise model, we numerically demonstrate that our optimisation-based methods are capable of drastically improving the exploitation of temporal correlations, extending the timescales at which noise suppression is viable by at least two orders of magnitude, compared to traditional DD which does not use any knowledge of the non-Markovian environment. Importantly, the corresponding tools are built on operational grounds and can be easily implemented to reduce noise in the current generation of quantum devices. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Berk, Graeme D. Milz, Simon Pollock, Felix A. Modi, Kavan |
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Article |
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Berk, Graeme D. Milz, Simon Pollock, Felix A. Modi, Kavan |
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Berk, Graeme D. |
title |
Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
title_short |
Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
title_full |
Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
title_fullStr |
Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
title_full_unstemmed |
Extracting quantum dynamical resources: consumption of non-Markovianity for noise reduction |
title_sort |
extracting quantum dynamical resources: consumption of non-markovianity for noise reduction |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173863 |
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1794549403432779776 |