cuQuantum SDK: A High-Performance Library for Accelerating Quantum Computing Simulations¶
Welcome to the cuQuantum SDK documentation!
NVIDIA cuQuantum SDK is a set of high-performance libraries and tools for accelerating quantum computing simulations at both the circuit and device level by orders of magnitude. It consists of three major components:
cuDensityMat: a high-performance library for quantum dynamics equation solvers
cuStateVec: a high-performance library for state vector quantum simulators
cuTensorNet: a high-performance library for tensor network computations
In addition to C APIs, cuQuantum also provides Python APIs via cuQuantum Python.
NVIDIA cuQuantum Appliance offers a containerized solution, including a distributed state vector simulator backend for IBM’s Qiskit Aer and a multi-GPU backend for Google’s qsim state vector simulator.
To quickly get started with cuQuantum or cuQuantum Python installation, please refer to our guide on Getting Started for instructions.
Contents
- Overview
- Release Notes
- cuQuantum SDK v25.03
- cuQuantum SDK v24.11
- cuQuantum SDK v24.08
- cuQuantum SDK v24.03
- cuQuantum SDK v23.10
- cuQuantum SDK v23.06.1
- cuQuantum SDK v23.06
- cuQuantum SDK v23.03
- cuQuantum SDK v22.11
- cuQuantum SDK v22.07.1
- cuQuantum SDK v22.07
- cuQuantum SDK v22.05
- cuQuantum SDK v22.03
- cuQuantum SDK v0.1.1
- cuQuantum SDK v0.1.0
- Getting Started
- cuDensityMat
- cuStateVec
- cuTensorNet
- cuQuantum Python
- cuQuantum Appliance
- Software License Agreement