Merge branch 'main' into doc-update-relay-bp

Author: melody-ren

.cudaq_version

@@ -1,6 +1,6 @@
 {
   "cudaq": {
     "repository": "NVIDIA/cuda-quantum",
-    "ref": "051eed70cb1426a5522140183c8e16cf72d51835"
+    "ref": "4f284af95b252e69ab08ba4f1ef7fa1ea69dd66a"
   }
 }

.github/workflows/all_libs.yaml

@@ -109,7 +109,7 @@ jobs:
           # Install the correct torch first.
           cuda_no_dot=$(echo ${{ matrix.cuda_version }} | sed 's/\.//')
           pip install torch==2.9.0 --index-url https://download.pytorch.org/whl/cu${cuda_no_dot}
-          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} lightning ml_collections mpi4py transformers quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09
+          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} lightning ml_collections mpi4py transformers quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09.1
           # The following tests are needed for docs/sphinx/examples/qec/python/tensor_network_decoder.py.
           if [ "$(uname -m)" == "x86_64" ]; then
               # Stim is not currently available on manylinux ARM wheels, so only

.github/workflows/all_libs_release.yaml

@@ -34,7 +34,7 @@ jobs:
         ${{
           inputs.release-number == '0.0.0'
           && format('ghcr.io/nvidia/cudaqx-dev:{0}-{1}-cu{2}', 'latest', matrix.runner.arch, matrix.cuda_version)
-          || format('ghcr.io/nvidia/cudaqx-dev:{0}-{1}', inputs.release-number, matrix.runner.arch)
+          || format('ghcr.io/nvidia/cudaqx-dev:{0}-{1}-cu{2}', inputs.release-number, matrix.runner.arch, matrix.cuda_version)
         }}
       env:
         NVIDIA_VISIBLE_DEVICES: ${{ env.NVIDIA_VISIBLE_DEVICES }}
@@ -133,7 +133,7 @@ jobs:
           # Install the correct torch first.
           cuda_no_dot=$(echo ${{ matrix.cuda_version }} | sed 's/\.//')
           pip install torch==2.9.0 --index-url https://download.pytorch.org/whl/cu${cuda_no_dot}
-          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} lightning ml_collections mpi4py transformers quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09
+          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} lightning ml_collections mpi4py transformers quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09.1
           # The following tests are needed for docs/sphinx/examples/qec/python/tensor_network_decoder.py.
           if [ "$(uname -m)" == "x86_64" ]; then
               # Stim is not currently available on manylinux ARM wheels, so only

.github/workflows/lib_qec.yaml

@@ -106,7 +106,7 @@ jobs:
           # Install the correct torch first.
           cuda_no_dot=$(echo ${{ matrix.cuda_version }} | sed 's/\.//')
           pip install torch==2.9.0 --index-url https://download.pytorch.org/whl/cu${cuda_no_dot}
-          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09
+          pip install numpy pytest cupy-cuda${{ steps.config.outputs.cuda_major }}x cuquantum-cu${{ steps.config.outputs.cuda_major }} quimb opt_einsum nvidia-cublas cuquantum-python-cu${{ steps.config.outputs.cuda_major }}==25.09.1
           # The following tests are needed for docs/sphinx/examples/qec/python/tensor_network_decoder.py.
           if [ "$(uname -m)" == "x86_64" ]; then
               # Stim is not currently available on manylinux ARM wheels, so only

libs/qec/pyproject.toml.cu12

@@ -56,7 +56,7 @@ tensor_network_decoder = [
   "quimb",
   "opt_einsum",
   "torch",
-  "cuquantum-python-cu12==25.09"
+  "cuquantum-python-cu12==25.09.1"
 ]
 trt_decoder = [
   "tensorrt-cu12"
@@ -65,6 +65,6 @@ all = [
   "quimb",
   "opt_einsum",
   "torch",
-  "cuquantum-python-cu12==25.09",
+  "cuquantum-python-cu12==25.09.1",
   "tensorrt-cu12; platform_machine == 'x86_64'"
 ]

libs/qec/pyproject.toml.cu13

@@ -56,7 +56,7 @@ tensor_network_decoder = [
   "quimb",
   "opt_einsum",
   "torch>=2.9.0",
-  "cuquantum-python-cu13==25.09"
+  "cuquantum-python-cu13==25.09.1"
 ]
 trt_decoder = [
   "tensorrt-cu13"
@@ -65,6 +65,6 @@ all = [
   "quimb",
   "opt_einsum",
   "torch>=2.9.0",
-  "cuquantum-python-cu13==25.09",
+  "cuquantum-python-cu13==25.09.1",
   "tensorrt-cu13"
 ]