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Add workaround for Blackwell (#247)
Signed-off-by: Melody Ren <[email protected]>
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docs/sphinx/quickstart/installation.rst

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@@ -149,3 +149,16 @@ Troubleshooting (Common Issues)
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* Verify installation path is in ``PYTHONPATH``
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For additional support, please visit our `GitHub Issues <https://github.com/nvidia/cudaqx/issues>`_ page.
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Known Blackwell Issues
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----------------------
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.. note::
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If you are attempting to use torch on Blackwell, you will need to install the nightly version of torch.
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You can do this by running:
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.. code-block:: bash
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python3 -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu128
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torch is a dependency of the tensor network decoder and the GQE algorithm.

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