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5 changes: 2 additions & 3 deletions python/README.md.in
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ requirements are listed in the Installation Guide of the linked documentation.

CUDA-Q does not require a GPU to use, but some components are GPU-accelerated.

Getting started with CUDA-Q on `x86_64` platforms simply requires `pip install
Getting started with CUDA-Q simply requires `pip install
${{ package_name }}`. Please make sure your `pip` version is \>= 24.0.
If you have an NVIDIA GPU on your host system, you will be
able to use it without any further installation steps.
Expand All @@ -40,8 +40,7 @@ able to use it without any further installation steps.
> Please check if you have an existing installation of the `cuda-quantum`, `cudaq-quantum-cu11`, or `cuda-quantum-cu12` package, and uninstall it prior to installation. Different CUDA-Q binary distributions may conflict with each other causing issues.


If you want to perform multi-GPU simulations, or if you are using
`aarch64`/`arm64` processors, additional components must be installed. We
If you want to perform multi-GPU simulations, additional components must be installed. We
recommend using [Conda](https://docs.conda.io/en/latest/) to do so. If you are
not already using Conda, you can install a minimal version following the
instructions [here](https://docs.anaconda.com/miniconda/). The following
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