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Variational ground-state quantum adiabatic theorem
ID Žunkovič, Bojan (Author), ID Torta, Pietro (Author), ID Pecci, Giovanni (Author), ID Lami, Guglielmo (Author), ID Collura, Mario (Author)

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Abstract
We present a variational quantum adiabatic theorem, which states that, under certain assumptions, the adiabatic dynamics projected onto a variational manifold follow the instantaneous variational ground state. We focus on low-entanglement variational manifolds and target Hamiltonians with classical ground states. Despite highly entangled intermediate states along the exact adiabatic path, the variational evolution converges to the target ground state. We demonstrate this approach with several examples that align with our theoretical analysis.

Language:English
Keywords:adiabatic quantum optimization, quantum algorithms, quantum algorithms and computation, adiabatic approximation, variational approach
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 1-9
Numbering:Vol. 134, iss. 13, art. 130601
PID:20.500.12556/RUL-171584 This link opens in a new window
UDC:004
ISSN on article:0031-9007
DOI:10.1103/PhysRevLett.134.130601 This link opens in a new window
COBISS.SI-ID:230918403 This link opens in a new window
Publication date in RUL:28.08.2025
Views:761
Downloads:236
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Record is a part of a journal

Title:Physical review letters
Shortened title:Phys. rev. lett.
Publisher:American Physical Society
ISSN:0031-9007
COBISS.SI-ID:1282575 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:adiabatna kvantna optimizacija, kvantni algoritmi, kvantni algoritmi in računanje, adiabatska aproksimacija, variacijski pristop

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2480-2020
Name:Tenzorske mreže kot povezava med klasičnim in kvantnim strojnim učenjem

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0209-2022
Name:Umetna inteligenca in inteligentni sistemi

Funder:Other - Other funder or multiple funders
Project number:SN-ZRD/ 22-27/0510

Funder:Other - Other funder or multiple funders
Project number:2023-46-HH.0

Funder:EC - European Commission
Project number:101017733
Name:QuantERA II ERA-NET Cofund in Quantum Technologies
Acronym:QuantERA II

Funder:EC - European Commission
Project number:101042293
Name:Hydrodynamics and entropy production in low-dimensional quantum systems
Acronym:HEPIQ

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