cuQuantum Appliance

Welcome to the cuQuantum Appliance documentation!

NVIDIA cuQuantum Appliance is a highly performant multi-GPU solution for quantum circuit simulation. It contains NVIDIA’s cuStateVec and cuTensorNet libraries which optimize state vector and tensor network simulation, respectively. cuQuantum Python is also installed, offering not only Python bindings for both libraries but also a high-level, pythonic interface for cuTensorNet.

With the cuStateVec library, NVIDIA provides the following simulators:

• IBM’s Qiskit Aer frontend via cusvaer, NVIDIA’s distributed state vector backend solver.

• a multi-GPU-optimized Google Cirq frontend via qsim, Google’s state vector simulator.

Available at https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuquantum-appliance.

The cuQuantum Appliance is released under the NVIDIA cuQuantum SDK license.

Contents

• Release Notes
  • cuQuantum Appliance 23.06
  • cuQuantum Appliance 23.03
  • cuQuantum Appliance 22.11
  • cuQuantum Appliance 22.07-Cirq
  • cuQuantum Appliance 22.03-Cirq
  • cuQuantum Appliance 22.02-Cirq
• Cirq
  • Notice
  • API Reference
• Qiskit
  • Getting started
  • Selecting simulator
  • cusvaer-specific options
  • Modifications for Qiskit Aer options
  • Interoperability with mpi4py
  • Limitations
• cusvaer
  • Features
  • Distributed state vector simulation
  • Using cusvaer
  • MPI libraries
  • cusvaer options
  • Custom instruction
  • Example of cusvaer option configurations
  • Exception
  • Interoperability with mpi4py
• Acknowledgements