---
id: cudensitymat-cu13
version: "0.6.0"
license: NVIDIA Proprietary Software
license_treatment: unclear
maintenance: active
---

# cudensitymat-cu13 — cuDensityMat - a component of NVIDIA cuQuantum SDK

License: unclear · Maintenance: active · Downloads: 92.7K/mo

## 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 above — verify before relying.

cuDensityMat provides GPU-accelerated density matrix operations for analog quantum dynamics solvers, part of NVIDIA's cuQuantum SDK.

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

pip install cudensitymat-cu13
uv add cudensitymat-cu13
poetry add cudensitymat-cu13

## Installing cudensitymat-cu13

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.

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/

Requires CUDA 13 runtime environment and compatible NVIDIA GPU; cutensor-cu13 and cutensornet-cu13 must be installed.

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: unspecified
- Install friction: medium
- Maintenance: active
- Downloads: 92.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

quantum dynamics solver GPU, density matrix CUDA, analog quantum simulation, cuQuantum density matrix, quantum computing GPU acceleration, NVIDIA CUDA quantum, high-performance quantum, gpu-accelerated, quantum-computing, nvidia-cuda

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