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docs/choose_hw.md

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@@ -129,7 +129,7 @@ choose a specific machine:
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For GPU simulations, you may follow the instructions in [this](tutorials/gcp_gpu)
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guide to set up a virtual machine (VM) on Google Cloud Platform (GCP).
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Alternatively, you can use your own hardware.
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Note the [hardware requirements](https://docs.nvidia.com/cuda/cuquantum/getting_started.html#custatevec)
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Note the [hardware requirements](https://docs.nvidia.com/cuda/cuquantum/latest/getting_started.html#custatevec)
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for NVIDIA's cuQuantum when picking a GPU; in particular, it must have
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CUDA Compute Capability 7.0 or higher.
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At the time of writing, the following compatible GPUs are available on GCP:
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* [NVIDIA V100](https://www.techpowerup.com/gpu-specs/tesla-v100-pcie-16-gb.c2957).
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Like the NVIDIA T4, this GPU has 16GB of RAM and
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therefore supports up to 30 qubits. It is faster than the T4.
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Further, it is compatible with multi-GPU simulations. With 8 NVIDIA V100s (128GB),
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you can simulate up to 33 qubits.
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Further, it is compatible with multi-GPU simulations. With 4 NVIDIA V100s (64GB),
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you can simulate up to 32 qubits.
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* [NVIDIA L4](https://www.techpowerup.com/gpu-specs/l4.c4091). This GPU has 24GB
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of RAM and can therefore simulate up to 31 qubits. With eight of them (192GB), you can simulate
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up to 34 qubits.

docs/tutorials/gcp_gpu.md

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1. In the **Operating System** option, choose **Ubuntu**.
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2. In the **Version** option, choose **20.04 LTS**.
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3. In the **Size** field, enter **40** (minimum).
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**Alternatively, you can click the "Switch Image" button and use the image with
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CUDA pre-installed, which lets you skip step 3. It has been verified that this works
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with cuQuantum Appliance (option 3).**
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* The instructions above override steps 3 through 5 in the [Create a Linux VM
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instance](https://cloud.google.com/compute/docs/quickstart-linux)
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Quickstart.
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Follow the instructions [here](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuquantum-appliance)
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to set up cuQuantum Appliance. You may need to use `sudo` for the Docker commands.
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## 10. Verify your installation (Options 1, 2, and 3)
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You can use the following code to verify that qsim uses your GPU. You can paste

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