Dataset Tensor-Programmable Quantum Circuits for Solving Differential Equations

DOI

We used a self-written Julia library to find unitary approximations of

matrix product operators (MPO). We implemented the variational quantum algorithms in python,

using pennylane and pyTorch.

 

  • Unitaries that represent the MPO operator

  • Weights for all time steps parametrizing the solution of the linear Euler equation.

  • Data used for Fig.2, Fig.3 and Fig.4

Identifier
DOI https://doi.org/10.25592/uhhfdm.16776
Related Identifier IsSupplementTo https://arxiv.org/abs/2502.04425
Related Identifier IsPartOf https://doi.org/10.25592/uhhfdm.16775
Metadata Access https://www.fdr.uni-hamburg.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:fdr.uni-hamburg.de:16776
Provenance
Creator Pia Siegl ORCID logo; Greta Sophie Reese ORCID logo; Tomohiro Hashizume ORCID logo; Nis-Luca van Hülst ORCID logo; Dieter Jaksch ORCID logo
Publisher Universität Hamburg
Publication Year 2025
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other