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Quantum TEA: qtealeaves

qtealeaves is a tensor network library with a collection of algorithms for solving Schrödinger and Lindblad equation. The library contains the definition of abstract tensor class and its Numpy/Cupy implementation, classes for various tensor network representations (e.g. matrix product state, tree tensor network, locally-purified tensor network, ...), API for building quantum models, and more.

Relation to other Quantum TEA libraries

Quantum Red TEA: qredtea is a supplementary library for switching between additional tensor backends. While qtealeaves alone provides support for Numpy/Cupy-based tensors, qredtea enables running the simulations with Pytorch, Tensorflow, and Jax. Moreover, it enables switching between standard non-symmetric tensors and Abelian symmetry tensors. qredtea requires qtealeaves as a dependency. To get the right combination of versions for using quantum red tea, install qredtea which automatically has a matching qtealeaves version as a dependency.

Quantum Matcha TEA: qmatchatea is built on top of qtealeaves and is specialized in running quantum circuits with tensor networks. It requires both qtealeaves and qredtea as a dependency. To get the right combination of versions for using quantum matcha tea, install qmatchatea which automatically has a matching qtealeaves version as a dependency.

Installation

The package is available via PyPi and pip install qtealeaves.

After cloning the repository, an local installation via pip is also possible via pip install ..

The list of python dependencies can be found in the pyproject.toml.

Documentation

See the latest documentation here.

Cite us

If you use Quantum TEA Leaves in your work, please cite our Zenodo package.

Project links

Key dates

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Credits

Author: Flavio Baccari, Davide Bacilieri, Marco Ballarin, Francesco Pio Barone, Francesco Campaioli, Alberto Giuseppe Catalano, Giovanni Cataldi, Massimo Colombo, Alberto Coppi, Aurora Costantini, Asmita Datta, Andrea De Girolamo, Daniel Jaschke, Sven Benjamin Kožić, Giuseppe Magnifico, Madhav Menon, Carmelo Mordini, Guillermo Muñoz Menés, Simone Notarnicola, Alice Pagano, Luka Pavesic, Davide Rattacaso, Nora Reinić, Marco Rigobello, Simone Scarlatella, Ilaria Siloi, Marco Tesoro, Philipp Thoma, Gianpaolo Torre, Darvin Wanisch, Lisa Zangrando

License

Apache Software License (Apache License)

Requires

Python >=3.11

Provides Extra

cqa tests docs dev gpu

Classifiers

Report project as malware

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