cudensitymat-cu13

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

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

cudensitymat-cu13 on PyPI

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

Evidence: cudensitymat_cu13-0.6.0-py3-none-manylinux2014_aarch64.whl; cudensitymat_cu13-0.6.0-py3-none-manylinux2014_x86_64.whl

Keywords: cuda, nvidia, density matrix, quantum dynamics, high-performance computing, quantum computing

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