Quantum TEA: qtealeaves
Authors/Creators
- Baccari, Flavio (Researcher)
- Bacilieri, Davide (Researcher)
- Ballarin, Marco (Researcher)
- Barone, Francesco Pio (Researcher)
- Campaioli, Francesco (Researcher)
- Catalano, Alberto Giuseppe (Researcher)
- Cataldi, Giovanni (Researcher)
- Coppi, Alberto (Researcher)
- Costantini, Aurora (Researcher)
- Datta, Asmita (Researcher)
- et al. Show all 28 authors
- Baccari, Flavio (Researcher)
- Bacilieri, Davide (Researcher)
- Ballarin, Marco (Researcher)
- Barone, Francesco Pio (Researcher)
- Campaioli, Francesco (Researcher)
- Catalano, Alberto Giuseppe (Researcher)
- Cataldi, Giovanni (Researcher)
- Coppi, Alberto (Researcher)
- Costantini, Aurora (Researcher)
- Datta, Asmita (Researcher)
- De Girolamo, Andrea (Researcher)
- Jaschke, Daniel (Contact person)
- Kožić, Sven Benjamin (Researcher)
- Magnifico, Giuseppe (Researcher)
- Mordini, Carmelo (Researcher)
- Montangero, Simone (Supervisor)
- Notarnicola, Simone (Researcher)
- Pagano, Alice (Researcher)
- Pavesic, Luka (Researcher)
- Rattacaso, Davide (Researcher)
- Rigobello, Marco (Researcher)
- Reinić, Nora (Researcher)
- Scarlatella, Simone (Researcher)
- Siloi, Ilaria (Researcher)
- Silvi, Pietro (Supervisor)
- Tesoro, Marco (Researcher)
- Torre, Gianpaolo (Researcher)
- Wanisch, Darvin (Researcher)
Description
qtealeaves of the Quantum TEA library with version v1.5.8 containing tensor network methods to simulate many-body quantum systems. The work is based on the following references, please consider citing them in addition to the software package depending on your use case:
1) Pietro Silvi et al., "The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems", SciPost Physics Lecture Notes, 008 (2019)
2) Simone Montangero, "Introduction to Tensor Network Methods", Springer (2018)
3) For TTOs: Nora Reinić et al., "Finite-temperature Rydberg arrays: quantum phases and entanglement characterization", Physical Review Research 6 (3), 033322 (2024).
4) For sampling: Marco Ballarin et al., "Optimal sampling of tensor networks targeting wave function's fast decaying tails", arXiv:2401.10330 (2024)
You find a bibtex amongst the files.
We provide additional information on how to run qtealeaves via the Quantum TEA homepage.
(Authors are in alphabetical order.)
Files
Files
(11.2 MB)
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md5:9059b75676cc1296e49c4c7eccbc32b0
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md5:abc8749c2e688b9f94d391f30f30cf4c
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10.6 MB | Download |
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md5:09b88b31f5fe6f752a4cfae9767a0278
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4.6 kB | Download |
Additional details
Identifiers
Related works
- Is identical to
- Software: https://pypi.org/project/qtealeaves/1.5.8/ (URL)
- Is required by
- Software: 10.5281/zenodo.14883296 (DOI)
- Software: 10.5281/zenodo.14883351 (DOI)
Software
- Repository URL
- https://baltig.infn.it/quantum_tea_leaves/py_api_quantum_tea_leaves
- Programming language
- Python
- Development Status
- Active