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Copy file name to clipboardExpand all lines: docs/source/advance.rst
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TensorCircuit-NG provides a Stabilizer Circuit simulator for efficient simulation of Clifford circuits.
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This simulator is particularly useful for quantum error correction, measurement induced phase transition, etc.
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The stabilizer simulation is backend by Python package `Stim <https://github.com/quantumlib/Stim>`_, please ensure you have ``pip install stim`` first.
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.. code-block:: python
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Copy file name to clipboardExpand all lines: docs/source/index.rst
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Introduction
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---------------
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TensorCircuit-NG is an open-source high-performance quantum software framework in Python.
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`TensorCircuit-NG<https://github.com/tensorcircuit/tensorcircuit-ng>`_ is an open-source high-performance quantum software framework in Python.
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* It is built for humans. 👽
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.. important::
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Please cite the `whitepaper <https://quantum-journal.org/papers/q-2023-02-02-912/>`_ when using TensorCircuit or TensorCircuit-NG in your research. The bibtex information is provided by ``tc.cite()``.
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.. note::
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The TensorCircuit package is outdated.
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We recommend upgrading to TensorCircuit-NG for the latest features and improvements.
TensorCircuit is created and now maintained as TensorCircuit-NG by `Shi-Xin Zhang <https://github.com/refraction-ray>`_.
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TensorCircuit is created and now maintained as
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`TensorCircuit-NG <https://github.com/tensorcircuit/tensorcircuit-ng>`_ by `Shi-Xin Zhang <https://github.com/refraction-ray>`_.
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The current core authors of TensorCircuit-NG are `Shi-Xin Zhang <https://github.com/refraction-ray>`_ and `Yu-Qin Chen <https://github.com/yutuer21>`_.
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We also thank `contributions <https://github.com/tensorcircuit/tensorcircuit-ng/graphs/contributors>`_ from the open source community.
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GitHub
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.. card:: PyPI
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:link: https://pypi.org/project/tensorcircuit-ng
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:shadow: md
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``pip install tensorcircuit-ng``
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.. card:: Documentation
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:link: https://tensorcircuit-ng.readthedocs.io
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