CUDAQ

NVIDIA CUDA-Q is the quantum processing unit (QPU)-agnostic platform for accelerated quantum supercomputing for defining, compiling, and executing quantum kernels on simulators or real quantum hardware.

Check Quick start to NVIDIA CUDA-Q

Installation of CUDAQ package

Install cudaq package, following the Python Virtual Environment.

pip install cudaq

Running Quantum Simulation

Request a GPU node. Check interactive job submission.

Copy the CUDAQ directory (at /usr/local/doc/CUDAQ), cd to that directory and find the python script "program.py"

Run the quantum computing simulation with Nvidia GPU using cuQuantum library (target nvidia) or with the cpu using Quantum++ library (target qpp-cpu) and compare the performance

time python3 program.py 22 --target nvidia

time python3 program.py 22 --target qpp-cpu