Efficient quantum algorithm for dissipative nonlinear differential equations

<jats:title>Significance</jats:title> <jats:p>Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity exponential in the evolution tim...

Full description

Bibliographic Details
Main Authors: Liu, Jin-Peng, Kolden, Herman Øie, Krovi, Hari K, Loureiro, Nuno F, Trivisa, Konstantina, Childs, Andrew M
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:English
Published: Proceedings of the National Academy of Sciences 2023
Online Access:https://hdl.handle.net/1721.1/147143
_version_ 1826207238005456896
author Liu, Jin-Peng
Kolden, Herman Øie
Krovi, Hari K
Loureiro, Nuno F
Trivisa, Konstantina
Childs, Andrew M
author2 Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
author_facet Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Liu, Jin-Peng
Kolden, Herman Øie
Krovi, Hari K
Loureiro, Nuno F
Trivisa, Konstantina
Childs, Andrew M
author_sort Liu, Jin-Peng
collection MIT
description <jats:title>Significance</jats:title> <jats:p>Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity exponential in the evolution time, we give the first quantum algorithm for dissipative nonlinear differential equations that is efficient provided the dissipation is sufficiently strong relative to nonlinear and forcing terms and the solution does not decay too rapidly. We also establish a lower bound showing that differential equations with sufficiently weak dissipation have worst-case complexity exponential in time, giving an almost tight classification of the quantum complexity of simulating nonlinear dynamics. Furthermore, numerical results for the Burgers equation suggest that our algorithm may potentially address complex nonlinear phenomena even in regimes with weaker dissipation.</jats:p>
first_indexed 2024-09-23T13:46:12Z
format Article
id mit-1721.1/147143
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T13:46:12Z
publishDate 2023
publisher Proceedings of the National Academy of Sciences
record_format dspace
spelling mit-1721.1/1471432023-01-18T03:22:22Z Efficient quantum algorithm for dissipative nonlinear differential equations Liu, Jin-Peng Kolden, Herman Øie Krovi, Hari K Loureiro, Nuno F Trivisa, Konstantina Childs, Andrew M Massachusetts Institute of Technology. Department of Nuclear Science and Engineering <jats:title>Significance</jats:title> <jats:p>Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity exponential in the evolution time, we give the first quantum algorithm for dissipative nonlinear differential equations that is efficient provided the dissipation is sufficiently strong relative to nonlinear and forcing terms and the solution does not decay too rapidly. We also establish a lower bound showing that differential equations with sufficiently weak dissipation have worst-case complexity exponential in time, giving an almost tight classification of the quantum complexity of simulating nonlinear dynamics. Furthermore, numerical results for the Burgers equation suggest that our algorithm may potentially address complex nonlinear phenomena even in regimes with weaker dissipation.</jats:p> 2023-01-17T18:25:06Z 2023-01-17T18:25:06Z 2021 2023-01-17T18:10:56Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/147143 Liu, Jin-Peng, Kolden, Herman Øie, Krovi, Hari K, Loureiro, Nuno F, Trivisa, Konstantina et al. 2021. "Efficient quantum algorithm for dissipative nonlinear differential equations." Proceedings of the National Academy of Sciences of the United States of America, 118 (35). en 10.1073/PNAS.2026805118 Proceedings of the National Academy of Sciences of the United States of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Proceedings of the National Academy of Sciences PNAS
spellingShingle Liu, Jin-Peng
Kolden, Herman Øie
Krovi, Hari K
Loureiro, Nuno F
Trivisa, Konstantina
Childs, Andrew M
Efficient quantum algorithm for dissipative nonlinear differential equations
title Efficient quantum algorithm for dissipative nonlinear differential equations
title_full Efficient quantum algorithm for dissipative nonlinear differential equations
title_fullStr Efficient quantum algorithm for dissipative nonlinear differential equations
title_full_unstemmed Efficient quantum algorithm for dissipative nonlinear differential equations
title_short Efficient quantum algorithm for dissipative nonlinear differential equations
title_sort efficient quantum algorithm for dissipative nonlinear differential equations
url https://hdl.handle.net/1721.1/147143
work_keys_str_mv AT liujinpeng efficientquantumalgorithmfordissipativenonlineardifferentialequations
AT koldenhermanøie efficientquantumalgorithmfordissipativenonlineardifferentialequations
AT kroviharik efficientquantumalgorithmfordissipativenonlineardifferentialequations
AT loureironunof efficientquantumalgorithmfordissipativenonlineardifferentialequations
AT trivisakonstantina efficientquantumalgorithmfordissipativenonlineardifferentialequations
AT childsandrewm efficientquantumalgorithmfordissipativenonlineardifferentialequations