cudensitymat-cu13
cuDensityMat - a component of NVIDIA cuQuantum SDK
Decision gist · record as of 2026-08-14
Yes, if you have a CUDA 13 GPU environment and are working on quantum dynamics simulation. The package is actively maintained, has no known vulnerabilities, and fills a specialized role in NVIDIA's quantum computing stack. Install friction is moderate due to CUDA runtime dependencies. Verify the proprietary license terms match your use case before deployment.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires CUDA 13 runtime environment and compatible NVIDIA GPU; cutensor-cu13 and cutensornet-cu13 must be installed.
- Medium install friction due to CUDA 13 runtime dependencies (cutensor-cu13, cutensornet-cu13).
- Package is actively maintained with recent releases; repo shows steady activity and 494 stars.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with no SPDX identifier; license treatment is unclear. Verify terms directly with NVIDIA before use in commercial or redistributable contexts.
last release 2026-06-29 (46 days) · last repo commit 2026-06-29 · 494 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 92,658 downloads/mo, #13,437 on PyPI
Alternatives
Verify before relying
pip install cudensitymat-cu13
# Access via C APIs or through cuQuantum Python wrapper
# See https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/- Exact Python version compatibility (requires_python not specified in metadata)
- Whether cuDensityMat can be used standalone or requires additional wrapper packages
- Supported GPU architectures beyond x86_64 and aarch64 wheel availability
What it is and what it does
cuDensityMat is NVIDIA's GPU-accelerated library for building and solving analog quantum dynamics equations using density matrix representations. It is a component of the cuQuantum SDK and provides both C and Python interfaces for high-performance quantum simulation workloads.
The package depends on cutensor-cu13 and cutensornet-cu13 runtime libraries and targets CUDA 13 environments. Installation requires a compatible NVIDIA GPU and CUDA 13 stack. The library is actively maintained, with recent releases and a public repository; however, its proprietary license terms are not fully specified in standard SPDX format, requiring explicit verification for production or commercial use.
Use it for
- Simulate analog quantum dynamics on NVIDIA GPUs for research or development of quantum algorithms
- Accelerate density matrix computations in quantum circuit simulators using GPU tensor operations
- Integrate quantum dynamics solvers into larger quantum computing workflows on CUDA 13 systems
- Prototype quantum algorithms requiring high-performance density matrix evolution on GPU hardware
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have a CUDA 13 GPU environment and are working on quantum dynamics simulation.
The package is actively maintained, has no known vulnerabilities, and fills a specialized role in NVIDIA's quantum computing stack. Install friction is moderate due to CUDA runtime dependencies. Verify the proprietary license terms match your use case before deployment.
Install
cudensitymat-cu13 on PyPI
Before you install
Medium install friction due to CUDA 13 runtime dependencies (cutensor-cu13, cutensornet-cu13). Package is actively maintained with recent releases; repo shows steady activity and 494 stars.
Requires CUDA 13 runtime environment and compatible NVIDIA GPU; cutensor-cu13 and cutensornet-cu13 must be installed.
License in practice
Licensed under NVIDIA Proprietary Software with no SPDX identifier; license treatment is unclear. Verify terms directly with NVIDIA before use in commercial or redistributable contexts.
Quickstart
pip install cudensitymat-cu13
# Access via C APIs or through cuQuantum Python wrapper
# See https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/Verify before relying
- Exact Python version compatibility (requires_python not specified in metadata)
- Whether cuDensityMat can be used standalone or requires additional wrapper packages
- Supported GPU architectures beyond x86_64 and aarch64 wheel availability
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 2 packagescutensor-cu13cutensornet-cu13 |
| Maintenance | Actively maintained 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 92,658 / month, #13,437 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Environment :: GPU :: NVIDIA CUDAEnvironment :: GPU :: NVIDIA CUDA :: 13Topic :: Scientific/Engineering |
Evidence: cudensitymat_cu13-0.6.0-py3-none-manylinux2014_aarch64.whl; cudensitymat_cu13-0.6.0-py3-none-manylinux2014_x86_64.whl
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See also custatevec-cu12 · custatevec-cu13 · cutensornet-cu13 · nvidia-cusolver · qutip · pennylane-lightning · nvidia-cusolver-cu12 · nvidia-cusolver-cu11 · vesin-torch · nvalchemi-toolkit-ops