Röhrig-Zöllner, Melven and Becklas, Manuel Joey (2024) pitts 0.9.6. [Other]
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Official URL: https://github.com/melven/pitts
Abstract
PITTS--Parallel Iterative Tensor-Train Solvers--is a small header-only C++20 library for numerical algorithms with low-rank tensor approximations in tensor train form (TT format, see 2 and 3). Algorithms are parallelized for multi-core CPU clusters using OpenMP and MPI.
Currently provides a fast TT-SVD implementation (algorithm to compress a dense tensor in the TT format), and methods for solving linear systems (symmetric and non-symmetric) in tensor-train format (TT-GMRES 4, TT-MALS 5, TT-AMEn 6).
Bindings to other languages / libraries:
* Python: complete functionality using pybind11 with numpy-compatible interface
* ITensor (C++): conversion to/from MPS and MPO
* Julia (JlCxx): basic data types and TSQR algorithm
| Item URL in elib: | https://elib.dlr.de/208113/ | ||||||||||||
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| Document Type: | Other | ||||||||||||
| Title: | pitts 0.9.6 | ||||||||||||
| Authors: |
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| Date: | 14 September 2024 | ||||||||||||
| Refereed publication: | No | ||||||||||||
| Open Access: | No | ||||||||||||
| DOI: | 10.5281/zenodo.13762681 | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | tensor-networks, linear algebra, tensor-train, matrix product states | ||||||||||||
| HGF - Research field: | other | ||||||||||||
| HGF - Program: | other | ||||||||||||
| HGF - Program Themes: | other | ||||||||||||
| DLR - Research area: | Quantum Computing Initiative | ||||||||||||
| DLR - Program: | QC AW - Applications | ||||||||||||
| DLR - Research theme (Project): | QC - QuTeNet | ||||||||||||
| Location: | Köln-Porz | ||||||||||||
| Institutes and Institutions: | Institute of Software Technology Institute of Software Technology > High-Performance Computing | ||||||||||||
| Deposited By: | Röhrig-Zöllner, Melven | ||||||||||||
| Deposited On: | 19 Nov 2024 11:44 | ||||||||||||
| Last Modified: | 24 Nov 2025 10:22 |
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- pitts 0.9.6. (deposited 19 Nov 2024 11:44) [Currently Displayed]
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