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PabloAndresCQ committed Dec 11, 2024
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4 changes: 2 additions & 2 deletions README.md
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[![Slack](https://img.shields.io/badge/Slack-4A154B?style=for-the-badge&logo=slack&logoColor=white)](https://tketusers.slack.com/join/shared_invite/zt-18qmsamj9-UqQFVdkRzxnXCcKtcarLRA#)
[![Stack Exchange](https://img.shields.io/badge/StackExchange-%23ffffff.svg?style=for-the-badge&logo=StackExchange)](https://quantumcomputing.stackexchange.com/tags/pytket)

[Pytket](https://tket.quantinuum.com/api-docs/index.html) is a python module for interfacing
[Pytket](https://docs.quantinuum.com/tket/api-docs/) is a python module for interfacing
with tket, a quantum computing toolkit and optimising compiler developed by Quantinuum.

[cuTensorNet](https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html) is a
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[cuQuantum Python](https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html).

Some useful links:
- [API Documentation](https://tket.quantinuum.com/extensions/pytket-cutensornet/)
- [API Documentation](https://docs.quantinuum.com/tket/extensions/pytket-cutensornet/)

## Getting started

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2 changes: 1 addition & 1 deletion docs/changelog.rst
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0.7.1 (July 2024)
-----------------

* New official `documentation site <https://tket.quantinuum.com/extensions/pytket-cutensornet/>`_.
* New official `documentation site <https://docs.quantinuum.com/tket/extensions/pytket-cutensornet/>`_.
* Backend methods can now be given a ``scratch_fraction`` argument to configure the amount of GPU memory allocated to cuTensorNet contraction. Users can also configure the values of the ``StateAttribute`` and ``SamplerAttribute`` from cuTensornet via the backend interface.
* Fixed a bug causing the logger to fail displaying device properties.

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2 changes: 1 addition & 1 deletion docs/examples/mps_tutorial.ipynb

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2 changes: 1 addition & 1 deletion docs/examples/python/mps_tutorial.py
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)

# ## Introduction
# This notebook provides examples of the usage of the MPS functionalities of `pytket_cutensornet`. For more information, see the docs at https://tket.quantinuum.com/extensions/pytket-cutensornet/api/index.html.
# This notebook provides examples of the usage of the MPS functionalities of `pytket_cutensornet`. For more information, see the docs at https://docs.quantinuum.com/tket/extensions/pytket-cutensornet/.
# A Matrix Product State (MPS) represents a state on `n` qubits as a list of `n` tensors connected in a line as show below:
# ![MPS](images/mps.png)
# Each of these circles corresponds to a tensor. We refer to each leg of a tensor as a *bond* and the number of bonds a tensor has is its *rank*. In code, a tensor is just a multidimensional array:
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2 changes: 1 addition & 1 deletion docs/examples/python/ttn_tutorial.py
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)

# ## Introduction
# This notebook provides examples of the usage of the TTN functionalities of `pytket_cutensornet`. For more information, see the docs at https://tket.quantinuum.com/extensions/pytket-cutensornet/api/index.html.
# This notebook provides examples of the usage of the TTN functionalities of `pytket_cutensornet`. For more information, see the docs at https://docs.quantinuum.com/tket/extensions/pytket-cutensornet/.
# Some good references to learn about Tree Tensor Network state simulation:
# - For an introduction into TTN based simulation of quantum circuits: https://arxiv.org/abs/2206.01000
# - For an introduction on some of the optimisation concerns that are relevant to TTN: https://arxiv.org/abs/2209.03196
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2 changes: 1 addition & 1 deletion setup.py
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author_email="[email protected]",
python_requires=">=3.10",
project_urls={
"Documentation": "https://tket.quantinuum.com/extensions/pytket-cutensornet/index.html",
"Documentation": "https://docs.quantinuum.com/tket/extensions/pytket-cutensornet",
"Source": "https://github.com/CQCL/pytket-cutensornet",
"Tracker": "https://github.com/CQCL/pytket-cutensornet/issues",
},
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