From 3036403f3615eb5ee325f6c8268334a99ae8ba9f Mon Sep 17 00:00:00 2001
From: PabloAndresCQ <pablo.andres-martinez@cambridgequantum.com>
Date: Tue, 26 Sep 2023 17:38:15 +0100
Subject: [PATCH 1/2] Updated broken links and specified GPU Compute Capability
 requirements.

---
 docs/intro.txt | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/docs/intro.txt b/docs/intro.txt
index fb5faa87..c73d22a3 100644
--- a/docs/intro.txt
+++ b/docs/intro.txt
@@ -2,11 +2,11 @@ pytket-cutensornet
 ==================
 
 ``pytket-cutensornet`` is an extension to ``pytket`` that allows ``pytket`` circuits and
-expectation values to be simulated using `cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/cutensornet/index.html>`_.
+expectation values to be simulated using `cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/python/api/index.html#cutensornet-cuquantum-cutensornet>`_.
 
-`cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/cutensornet/index.html>`_ is a
+`cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/python/api/index.html#cutensornet-cuquantum-cutensornet>`_ is a
 high-performance library for tensor network computations, developed by NVIDIA.
-It is part of the `cuQuantum <https://docs.nvidia.com/cuda/cuquantum/index.html>`_ SDK --
+It is part of the `cuQuantum <https://docs.nvidia.com/cuda/cuquantum/latest/index.html>`_ SDK --
 a high-performance library aimed at quantum circuit simulations on the NVIDIA GPU chips.
 
 We provide two core functionalities:
@@ -19,9 +19,8 @@ Currently, only single-GPU calculations are supported, but a multi-GPU execution
 implemented in the due course using ``mpi4py`` library.
 
 ``pytket-cutensornet`` is available for Python 3.9, 3.10 and 3.11 on Linux.
-In order to use it, you need access to a Linux machine with either ``Volta``, ``Ampere``
-or ``Hopper`` GPU and first install ``cuQuantum Python`` following their installation
-`instructions  <https://docs.nvidia.com/cuda/cuquantum/python/README.html#installation>`_.
+In order to use it, you need access to a Linux machine with an NVIDIA GPU of Compute Capability +7.0 (check it `here <https://developer.nvidia.com/cuda-gpus>`_) and first install ``cuQuantum Python`` following their installation
+`instructions  <https://docs.nvidia.com/cuda/cuquantum/latest/python/README.html#installation>`_.
 This will include the necessary dependencies such as CUDA toolkit. Then, to install
 ``pytket-cutensornet``, run:
 

From 9cfa969449a149aa5bb6574dd565bd635c64e911 Mon Sep 17 00:00:00 2001
From: PabloAndresCQ <pablo.andres-martinez@cambridgequantum.com>
Date: Wed, 27 Sep 2023 11:42:40 +0100
Subject: [PATCH 2/2] Link to main page rather than API

---
 docs/intro.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/intro.txt b/docs/intro.txt
index c73d22a3..8641a6b4 100644
--- a/docs/intro.txt
+++ b/docs/intro.txt
@@ -2,9 +2,9 @@ pytket-cutensornet
 ==================
 
 ``pytket-cutensornet`` is an extension to ``pytket`` that allows ``pytket`` circuits and
-expectation values to be simulated using `cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/python/api/index.html#cutensornet-cuquantum-cutensornet>`_.
+expectation values to be simulated using `cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html>`_.
 
-`cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/python/api/index.html#cutensornet-cuquantum-cutensornet>`_ is a
+`cuTensorNet <https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html>`_ is a
 high-performance library for tensor network computations, developed by NVIDIA.
 It is part of the `cuQuantum <https://docs.nvidia.com/cuda/cuquantum/latest/index.html>`_ SDK --
 a high-performance library aimed at quantum circuit simulations on the NVIDIA GPU chips.