custatevec-cu12
cuStateVec - a component of NVIDIA cuQuantum SDK
Decision gist · record as of 2026-08-14
Yes, if you have NVIDIA CUDA 12 hardware and are building quantum simulators. The active maintenance, zero security vulnerabilities, and GPU acceleration justify installation for quantum computing workloads. Verify NVIDIA's proprietary license terms for your use case first, and note that practical use likely requires the cuQuantum Python wrapper.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires NVIDIA CUDA 12 runtime and compatible GPU; runs only on x86_64 or aarch64 Linux systems.
- Medium install friction due to platform-specific wheels (manylinux2014 x86_64 and aarch64 only); active maintenance with recent releases, but requires NVIDIA CUDA 12 runtime environment.
License · maintenance · safety
NVIDIA Proprietary Software (unclear) — Licensed under NVIDIA Proprietary Software with unclear terms; review NVIDIA's licensing documentation before use in commercial or redistributed contexts.
last release 2026-06-29 (46 days) · last repo commit 2026-06-29 · 494 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 75,645 downloads/mo, #14,693 on PyPI
Alternatives
Verify before relying
pip install custatevec-cu12
import custatevec
# Access cuStateVec C APIs or use via cuQuantum Python wrapper- Exact Python version compatibility (requires_python not specified in metadata)
- Whether cuStateVec can be used standalone or requires cuQuantum Python wrapper for practical use
- Performance benchmarks or typical use-case throughput expectations
What it is and what it does
cuStateVec is NVIDIA's GPU-accelerated library for state vector quantum simulation operations, part of the cuQuantum SDK. It exposes C APIs directly and can also be accessed through the cuQuantum Python wrapper. The library is designed to offload quantum state vector computations to NVIDIA GPUs, enabling high-performance quantum circuit simulation on CUDA 12 hardware.
The package ships as platform-specific wheels for Linux (x86_64 and aarch64) and has no Python runtime dependencies, meaning it acts as a thin wrapper around the underlying CUDA libraries. Installation requires an NVIDIA CUDA 12 environment; the library is actively maintained and currently in use by quantum computing researchers and practitioners building simulators.
Use it for
- Accelerate quantum circuit simulation by offloading state vector operations to NVIDIA GPUs
- Build high-performance quantum simulators that leverage CUDA 12 hardware for large state spaces
- Integrate GPU-accelerated quantum state operations into research or production quantum computing workflows
- Prototype quantum algorithms with GPU-backed state vector computation for performance-critical applications
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have NVIDIA CUDA 12 hardware and are building quantum simulators.
The active maintenance, zero security vulnerabilities, and GPU acceleration justify installation for quantum computing workloads. Verify NVIDIA's proprietary license terms for your use case first, and note that practical use likely requires the cuQuantum Python wrapper.
Install
custatevec-cu12 on PyPI
Before you install
Medium install friction due to platform-specific wheels (manylinux2014 x86_64 and aarch64 only); active maintenance with recent releases, but requires NVIDIA CUDA 12 runtime environment.
Requires NVIDIA CUDA 12 runtime and compatible GPU; runs only on x86_64 or aarch64 Linux systems.
License in practice
Licensed under NVIDIA Proprietary Software with unclear terms; review NVIDIA's licensing documentation before use in commercial or redistributed contexts.
Quickstart
pip install custatevec-cu12
import custatevec
# Access cuStateVec C APIs or use via cuQuantum Python wrapperVerify before relying
- Exact Python version compatibility (requires_python not specified in metadata)
- Whether cuStateVec can be used standalone or requires cuQuantum Python wrapper for practical use
- Performance benchmarks or typical use-case throughput expectations
Package facts
| License | NVIDIA Proprietary Software unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 75,645 / month, #14,693 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 :: 12Topic :: Scientific/Engineering |
Evidence: custatevec_cu12-1.14.0-py3-none-manylinux2014_aarch64.whl; custatevec_cu12-1.14.0-py3-none-manylinux2014_x86_64.whl
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See also cudensitymat-cu13 · custatevec-cu13 · pennylane-lightning · cutensornet-cu13 · nvidia-cuda-cccl-cu12 · cuvs-cu12 · nvidia-libnvcomp-cu12 · nvidia-cuda-runtime-cu12 · nvidia-cuda-cccl · libcuvs-cu12