{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/8"}],"enrichment":{"capability":"cuTensorNet is a GPU-accelerated library for tensor network computations, providing high-performance C and Python APIs for quantum and scientific computing workloads on NVIDIA CUDA hardware.","skillfed_tags":["gpu-accelerated","quantum-computing","tensor-networks"],"use_cases":["Accelerate tensor network contractions in quantum circuit simulations on GPU hardware.","Perform high-performance tensor operations for physics simulations and scientific computing.","Build quantum algorithm implementations that leverage GPU acceleration via NVIDIA CUDA.","Integrate GPU-accelerated tensor computations into Python-based quantum computing workflows.","Optimize tensor network algorithms for research in quantum information and condensed matter physics."],"what_it_does":"cuTensorNet is NVIDIA's GPU-accelerated library for tensor network computations, part of the cuQuantum SDK. It provides both C and Python APIs to perform high-performance tensor operations on NVIDIA CUDA devices, targeting quantum computing and scientific computing applications. The library is designed to exploit GPU parallelism for tensor contractions and network manipulations that would be slow on CPU.\n\nThe package is a thin wrapper around compiled CUDA kernels and requires CUDA 13 and the cutensor-cu13 dependency to function. It is actively maintained by NVIDIA, with wheels pre-built for Linux x86_64 and aarch64 architectures. Users working with tensor networks in quantum simulation, physics, or machine learning may access it either directly via this package or through the higher-level cuQuantum Python interface.","worth_installing":"Yes, if you have CUDA 13 hardware and need GPU-accelerated tensor network computations for quantum or scientific computing. The package is actively maintained, has no known vulnerabilities, and is backed by NVIDIA. However, the unclear proprietary license and lack of specified Python version support warrant review before production deployment. Not suitable if you lack NVIDIA GPU hardware or CUDA 13 support."},"id":"cutensornet-cu13","links":{"html":"https://skillfed.io/packages/cutensornet-cu13","md":"https://skillfed.io/packages/cutensornet-cu13.md","pypi":"https://pypi.org/project/cutensornet-cu13/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"unclear","name":"cutensornet-cu13","python_support":"unspecified","summary":"cuTensorNet - a component of NVIDIA cuQuantum SDK"},"popularity":{"monthly_downloads":92818,"position":13422,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.13.0"}