Update release.md

Author: Sinestro38

tensorflow_quantum/release.md

@@ -17,7 +17,7 @@
    - Important notes:
      - CuQuantum execution is currently only supported for source distributions meaning that the user must build TensorFlow Quantum & `tensorFlow-cpu` from source following the instructions in [install.md](/docs/install.md#build-from-source).
         - Ensure that the first entry is "N" in the `configure.sh` script at [this step](/docs/install.md#6-build-the-tensorflow-quantum-pip-package) of building. This ensures that you build upon `tensorflow-cpu` as `tensorflow-gpu` is unnecessary for CuQuantum support in TensorFlow Quantum.
-     - The cuQuantum SDK must be installed locally. See [installation instructions](https://docs.nvidia.com/cuda/cuquantum/custatevec/getting_started.html) for details. As part of the installation process, ensure that the `CUQUANTUM_ROOT` environment variable is set (referred to in the installation instructions). If not set, bazel will attempt to locate the folder containing the cuQuantum installation upon running `configure.sh` at [this step](/docs/install.md#6-build-the-tensorflow-quantum-pip-package).
+     - The cuQuantum SDK must be installed locally. See [installation instructions](https://docs.nvidia.com/cuda/cuquantum/custatevec/getting_started.html) for details. As part of the installation process, ensure that the `CUQUANTUM_ROOT` environment variable is set (referred to in the installation instructions). If not set, bazel will attempt to automatically locate the folder containing the cuQuantum installation upon running `configure.sh` at [this step](/docs/install.md#6-build-the-tensorflow-quantum-pip-package).
        - Tested on Titan, Ampere and Volta Nvidia GPU architectures. Note that Pascal GPU architectures are not supported, see documentation to [check whether your GPU is compatible with cuQuantum](https://docs.nvidia.com/cuda/cuquantum/getting_started.html#custatevec)
      - Quantum concurrency (global context option) should be turned off when `use_cuquantum=True`. This can be done by running: `tfq.python.quantum_context.set_quantum_concurrent_op_mode(False)`