License updates (#360)

bmhowe23 · web-flow · commit 475abc1d2961 · 2025-11-18T07:41:13.000-08:00
Signed-off-by: Ben Howe &lt;bhowe@nvidia.com&gt;
diff --git a/.gitignore b/.gitignore
@@ -98,6 +98,9 @@ apps/
 # vim files
 *.tmp
 
+# Wheel files
+*.whl
+
 # Temporary build files for metapackages
 libs/*/python/metapackages/LICENSE
 libs/*/python/metapackages/NOTICE
diff --git a/README.md b/README.md
@@ -1,29 +1,37 @@
 # Welcome to the CUDA-QX repository
 
-This repository contains a set of libraries that build on 
-NVIDIA CUDA-Q. These libraries enable the rapid development of hybrid quantum-classical 
-application code leveraging state-of-the-art CPUs, GPUs, and QPUs. 
+This repository contains a set of libraries that build on
+NVIDIA CUDA-Q. These libraries enable the rapid development of hybrid quantum-classical
+application code leveraging state-of-the-art CPUs, GPUs, and QPUs.
 
 ## Getting Started
-To learn more about how to work with the CUDA-QX libraries, please take a look at the 
-[CUDA-QX Documentation][cudaqx_docs]. The page contains detailed 
-[installation instructions][official_install] for officially released packages. 
+
+To learn more about how to work with the CUDA-QX libraries, please take a look at the
+[CUDA-QX Documentation][cudaqx_docs]. The page contains detailed
+[installation instructions][official_install] for officially released packages.
 
 [cudaqx_docs]: https://nvidia.github.io/cudaqx
 [official_install]: https://nvidia.github.io/cudaqx/quickstart/installation.html
 
 ## Contributing
 
 There are many ways in which you can get involved with CUDA-QX. If you are
-interested in developing quantum applications with the CUDA-QX libraries, 
-this repository is a great place to get started! For more information about 
-contributing to the CUDA-QX platform, please take a look at 
+interested in developing quantum applications with the CUDA-QX libraries,
+this repository is a great place to get started! For more information about
+contributing to the CUDA-QX platform, please take a look at
 [Contributing.md](./Contributing.md).
 
 ## License
 
 The code in this repository is licensed under [Apache License 2.0](./LICENSE).
 
+When distributed via PyPI, GHCR, or NGC, the binaries generated from this source
+code are also distributed under the Apache License 2.0; however, the
+`libcudaq-qec-nv-qldpc-decoder.so` library is closed source and is subject to
+the [NVIDIA Software License Agreement][github_qec_license]
+
+[github_qec_license]: https://github.com/NVIDIA/cudaqx/blob/main/libs/qec/LICENSE
+
 Contributing a pull request to this repository requires accepting the
 Contributor License Agreement (CLA) declaring that you have the right to, and
 actually do, grant us the rights to use your contribution. A CLA-bot will
diff --git a/libs/qec/CITATION.cff b/libs/qec/CITATION.cff
@@ -0,0 +1 @@
+../../CITATION.cff
diff --git a/libs/qec/LICENSE b/libs/qec/LICENSE
diff --git a/libs/qec/NOTICE b/libs/qec/NOTICE
@@ -0,0 +1 @@
+../../NOTICE
diff --git a/libs/qec/README.md b/libs/qec/README.md
@@ -17,9 +17,12 @@ not require a GPU to use, but some components are GPU-accelerated.
 - Real-time decoding capabilities for quantum feedback
 - Integration with CUDA-Q quantum program execution
 
-Note: if you would like to use our Tensor Network Decoder, you will need
-additional dependencies installed. You can install them with
-`pip install cudaq-qec[tensor-network-decoder]`.
+## Optional Dependencies
+
+Some decoders require additional dependencies to operate. You can install them with
+
+- `pip install cudaq-qec[tensor-network-decoder]` for the Tensor Network Decoder
+- `pip install cudaq-qec[trt-decoder]` for the TensorRT Decoder
 
 ## Getting Started
 
@@ -28,8 +31,12 @@ For detailed documentation, tutorials, and API reference, visit the
 
 ## License
 
-CUDA-Q QEC is an open source project. The source code is available on
+Most components of CUDA-Q QEC are open source. The source code is available on
 [GitHub][github_link] and licensed under [Apache License
 2.0](https://github.com/NVIDIA/cudaqx/blob/main/LICENSE).
 
+The `libcudaq-qec-nv-qldpc-decoder.so` library (distributed with CUDA-Q QEC) is
+closed source and is subject to the [NVIDIA Software License Agreement][github_qec_license]
+
 [github_link]: https://github.com/NVIDIA/cudaqx/tree/main/libs/qec
+[github_qec_license]: https://github.com/NVIDIA/cudaqx/blob/main/libs/qec/LICENSE
diff --git a/libs/qec/pyproject.toml.cu12 b/libs/qec/pyproject.toml.cu12
@@ -10,6 +10,7 @@ authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 requires-python = ">=3.11"
 readme = "README.md"
+license = "LicenseRef-NVIDIA-Proprietary"
 dependencies = [
   'cuda-quantum-cu12 >= 0.13',
 ]
@@ -41,6 +42,7 @@ cmake.version = ">=3.28"
 cmake.build-type = "Release"
 install.components = ["qec-python", "qec-lib", "qec-lib-plugins"]
 wheel.packages = []
+wheel.license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
 logging.level = "DEBUG"
 ninja.version = ">=1.10"
 
diff --git a/libs/qec/pyproject.toml.cu13 b/libs/qec/pyproject.toml.cu13
@@ -10,6 +10,7 @@ authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 requires-python = ">=3.11"
 readme = "README.md"
+license = "LicenseRef-NVIDIA-Proprietary"
 dependencies = [
   'cuda-quantum-cu13 >= 0.13',
 ]
@@ -41,6 +42,7 @@ cmake.version = ">=3.28"
 cmake.build-type = "Release"
 install.components = ["qec-python", "qec-lib", "qec-lib-plugins"]
 wheel.packages = []
+wheel.license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
 logging.level = "DEBUG"
 ninja.version = ">=1.10"
 
diff --git a/libs/qec/python/metapackages/MANIFEST.in b/libs/qec/python/metapackages/MANIFEST.in
@@ -1,2 +1,5 @@
 include pyproject.toml.cu12
 include pyproject.toml.cu13
+include LICENSE
+include NOTICE
+include CITATION.cff
diff --git a/libs/qec/python/metapackages/pyproject.toml b/libs/qec/python/metapackages/pyproject.toml
@@ -14,6 +14,7 @@ description = "Accelerated libraries for Quantum Error Correction built on CUDA-
 authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 readme = "README.md"
+license = "LicenseRef-NVIDIA-Proprietary"
 requires-python = ">=3.11"
 license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
 classifiers = [
diff --git a/libs/solvers/CITATION.cff b/libs/solvers/CITATION.cff
@@ -0,0 +1 @@
+../../CITATION.cff
diff --git a/libs/solvers/LICENSE b/libs/solvers/LICENSE
@@ -0,0 +1 @@
+../../LICENSE
diff --git a/libs/solvers/NOTICE b/libs/solvers/NOTICE
@@ -0,0 +1 @@
+../../NOTICE
diff --git a/libs/solvers/pyproject.toml.cu12 b/libs/solvers/pyproject.toml.cu12
@@ -10,6 +10,7 @@ authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 requires-python = ">=3.11"
 readme = "README.md"
+license = "Apache-2.0"
 dependencies = [
   'cuda-quantum-cu12 >= 0.13',
   'fastapi',
@@ -46,6 +47,7 @@ cmake.version = ">=3.28"
 cmake.build-type = "Release"
 install.components = ["solvers-python", "solvers-lib", "solvers-tools"]
 wheel.packages = []
+wheel.license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
 logging.level = "DEBUG"
 ninja.version = ">=1.10"
 
diff --git a/libs/solvers/pyproject.toml.cu13 b/libs/solvers/pyproject.toml.cu13
@@ -10,6 +10,7 @@ authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 requires-python = ">=3.11"
 readme = "README.md"
+license = "Apache-2.0"
 dependencies = [
   'cuda-quantum-cu13 >= 0.13',
   'fastapi',
@@ -46,6 +47,7 @@ cmake.version = ">=3.28"
 cmake.build-type = "Release"
 install.components = ["solvers-python", "solvers-lib", "solvers-tools"]
 wheel.packages = []
+wheel.license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
 logging.level = "DEBUG"
 ninja.version = ">=1.10"
 
diff --git a/libs/solvers/python/metapackages/MANIFEST.in b/libs/solvers/python/metapackages/MANIFEST.in
@@ -1,2 +1,5 @@
 include pyproject.toml.cu12
 include pyproject.toml.cu13
+include LICENSE
+include NOTICE
+include CITATION.cff
diff --git a/libs/solvers/python/metapackages/pyproject.toml b/libs/solvers/python/metapackages/pyproject.toml
@@ -15,7 +15,7 @@ authors = [{name = "NVIDIA Corporation & Affiliates"}]
 maintainers = [{name = "NVIDIA Corporation & Affiliates"}]
 readme = "README.md"
 requires-python = ">=3.11"
-license-files = [ "LICENSE", "NOTICE", "CITATION.cff" ]
+license = "Apache-2.0"
 classifiers = [
     'Intended Audience :: Science/Research',
     'Intended Audience :: Developers',
diff --git a/scripts/ci/build_metapackages.sh b/scripts/ci/build_metapackages.sh
@@ -32,7 +32,7 @@ if ! [[ "$VERSION" =~ ^[0-9]+\.[0-9]+ ]]; then
   exit 1
 fi
 
-FILES_TO_COPY=(LICENSE NOTICE CITATION.cff)
+FILES_TO_COPY=(NOTICE CITATION.cff)
 
 # Copy setup.py file for the qec meta-package to the solvers meta-package directory.
 cp $TOP_DIR/libs/qec/python/metapackages/setup.py $TOP_DIR/libs/solvers/python/metapackages/setup.py
@@ -43,12 +43,21 @@ for package in qec solvers; do
   echo "Building $package metapackage..."
   cd $TOP_DIR/libs/$package/python/metapackages
 
-  # Copy the appropriate LICENSE, NOTICE, and CITATION.cff files to the metapackage directory.
+  # Copy the appropriate NOTICE and CITATION.cff files to the metapackage directory.
   rm -rf dist *.egg-info _version.txt $FILES_TO_COPY
   for file in ${FILES_TO_COPY[@]}; do
     cp $TOP_DIR/$file .
   done
 
+  rm -f LICENSE
+  if [ $package == "qec" ]; then
+    # Use LICENSE file from qec directory
+    cp $TOP_DIR/libs/qec/LICENSE .
+  else
+    # Use top-level LICENSE file
+    cp $TOP_DIR/LICENSE .
+  fi
+
   # Create a version.txt file in the metapackage directory.
   echo $VERSION > _version.txt
 
@@ -76,6 +85,7 @@ for package in qec solvers; do
   # Clean up
   rm $TOP_DIR/libs/${package}/python/metapackages/pyproject.toml.cu*
   rm $FILES_TO_COPY
+  rm LICENSE
   rm _version.txt
 
 done
