cuQuantum Python: Python APIs for NVIDIA cuQuantum SDK#

Welcome to the cuQuantum Python documentation!

NVIDIA cuQuantum Python provides Python bindings and high-level object-oriented models for accessing the full functionalities of NVIDIA cuQuantum SDK from Python.

Available at NVIDIA/cuQuantum

Key Features

Provides 1:1 Python wrappers for all cuQuantum C APIs.
Includes a tensornet module with high-level, Pythonic APIs that support:
- A computational engine for exact tensor network contraction with NumPy-style einsum semantics.
- A converter for Cirq and Qiskit users to map quantum circuit objects to tensor network contractions.
- Computational primitives for tensor decomposition using QR and SVD.
- A tensor network state simulator for both exact contraction-based simulation and matrix product states (MPS) simulation.
- Interoperability with CPU-based arrays (NumPy, PyTorch) and GPU-based arrays (CuPy, PyTorch).
Provides a densitymat module with high-level, Pythonic APIs for accelerating analog quantum dynamics solvers based on quantum many-body operators and density-matrix (or state-vector) formalism.
Provides a pauliprop.experimental module with high-level, Pythonic APIs for accelerating Pauli propagation simulations.
Provides a stabilizer module with high-level, Pythonic APIs for accelerating simulation of quantum circuits using the stabilizer formalism.
Open sourced (under the BSD-3-Clause license) following the community practice for easy access

Contents