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Quantum approaches for partial differential equations: a comparative study of the variational quantum algorithm and the imaginary time evolution method

Berger, Johanna and Siegl, Pia and Roller, Sabine (2025) Quantum approaches for partial differential equations: a comparative study of the variational quantum algorithm and the imaginary time evolution method. 1st international conference on applied quantum methods in computational science and engineering, 2025-10-08 - 2025-10-10, Aachen, Deutschland.

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Abstract

Das Poster gibt einen Überblick über die Methode des variational time steppings und der imaginary time evolution, sowie deren Anwendung auf die Diffusions-Gleichung. Die Vor- und Nachteile der beiden Methoden wird erörtert.

Item URL in elib:https://elib.dlr.de/217774/
Document Type:Conference or Workshop Item (Poster)
Title:Quantum approaches for partial differential equations: a comparative study of the variational quantum algorithm and the imaginary time evolution method
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Berger, JohannaDLR-SP, TU DresdenUNSPECIFIEDUNSPECIFIED
Siegl, Piapia.siegl (at) dlr.dehttps://orcid.org/0000-0003-2249-8121UNSPECIFIED
Roller, SabineSabine.Roller (at) dlr.dehttps://orcid.org/0000-0003-1483-8456UNSPECIFIED
Date:October 2025
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Quantum Computing, Differential Equations, Quantum Algorithms
Event Title:1st international conference on applied quantum methods in computational science and engineering
Event Location:Aachen, Deutschland
Event Type:international Conference
Event Start Date:8 October 2025
Event End Date:10 October 2025
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Dresden
Institutes and Institutions:Institute of Software Methods for Product Virtualization > High Perfomance Computing
Deposited By: Siegl, Pia
Deposited On:23 Oct 2025 14:30
Last Modified:23 Oct 2025 14:30

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