NVIDIA/cuQuantum

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

What it solves

It provides a high-performance library designed to accelerate quantum science simulations and computations on NVIDIA GPUs.

How it works

cuQuantum is an SDK that offers a suite of specialized libraries for quantum computing tasks. It includes components like custatevec for state vector simulation, cutensornet for tensor network simulation, and other specialized tools for density matrices (cudensitymat), Pauli properties (cupauliprop), and stabilizers (custabilizer). It provides interfaces for C/C++ and Python, including support for JAX.

Who it’s for

Researchers and developers in quantum science who need to perform high-performance simulations of quantum circuits and systems.

Highlights

  • High-performance acceleration for quantum science using NVIDIA GPUs.
  • Comprehensive SDK including state vector and tensor network simulation tools.
  • Support for multiple languages including C/C++, Python, and JAX.
  • Includes a performance benchmark suite to evaluate quantum computing workloads.

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