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PyTAT is a high-performance Python wrapper for the C++ tensor library known as TAT (Tensor is A Tensor library). It was developed by the Tensor Network State Project (TNSP) at the University of Science and Technology of China (USTC). The library is specifically designed to support advanced tensor operations, including symmetry and fermion tensors, which are essential in the study of quantum many-body systems and physics simulations.
As an open-source project, its code is primarily maintained through institutional contributors at USTC. It is distributed via the Python Package Index (PyPI) and GitHub, allowing researchers and developers globally to integrate its complex tensor manipulation capabilities into their scientific workflows. The project operates under the GPLv3 license, ensuring it remains free and accessible to the academic community.
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