Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates

Publication data accompanying the paper “Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates”, published in Computer Physics Communications (DOI: 10.1016/j.cpc.2026.110169). The publication and this dataset are associated with the European Union’s Horizon Europe research and innovation programme (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085, QCFD (https://doi.org/10.3030/101080085). The dataset contains the simulation data used in the publication, including reference finite-difference results and matrix-product-state (MPS) results for curvilinear incompressible flow benchmarks, covering non-rotating and rotating cylinder cases in steady and transient regimes, as well as additional validation data.

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Publication Details

Journal
Computer Physics Communications
Published
2026-04-01
DOI
https://doi.org/10.1016/j.cpc.2026.110169
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates

Pia Siegl, Sergio Bengoechea, Dieter Jaksch, Paul Over et al.
Computer Physics Communications
Quantum many-body systems
article

Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates

Pia Siegl, Sergio Bengoechea, Dieter Jaksch, Paul Over, Thomas Rung, Tomohiro Hashizume, Nis-Luca van Hülst, Mario Guillaume Cecile
article en

Abstract

Publication data accompanying the paper “Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates”, published in Computer Physics Communications (DOI: 10.1016/j.cpc.2026.110169). The publication and this dataset are associated with the European Union’s Horizon Europe research and innovation programme (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085, QCFD (https://doi.org/10.3030/101080085). The dataset contains the simulation data used in the publication, including reference finite-difference results and matrix-product-state (MPS) results for curvilinear incompressible flow benchmarks, covering non-rotating and rotating cylinder cases in steady and transient regimes, as well as additional validation data.

Computer Physics Communications
Deutsche Forschungsgemeinschaft, Deutsches Zentrum für Luft- und Raumfahrt, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 98%
Quantum many-body systems
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