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19 January 2024 to 16 February 2024
Europe/Berlin timezone

Tensor Networks for Computational Fluid Dynamics

Not scheduled
20m

Description

This project aims to compare the tree tensor network ansatz against the matrix product states ansatz in solving partial differential equations within the realm of computational fluid dynamics. The performance analysis will be based on the compressibility of each ansatz as compared to direct numerical simulation.

Group IT Zeuthen
Project Category B5. Computing
Special Qualifications Python or Julia programming skills, Concept of Tensor Networks, ITensors

Primary authors

Takis Angelides (CQTA (Centre f. Quantum Techno. a. Application)) Yibin Guo (CQTA (Centre f. Quantum Techno. a. Application))

Presentation materials

There are no materials yet.