Pennylane
Pennylane is an open-source cross-platform Python library for quantum machine learning, quantum chemistry and quantum computing. Pennylane-lightning is a high-performance state-vector simulator for Pennylane. It is currently GPU enabled through the Kokkos framework on LUMI.
Available
Currently supported pennylane versions:
| Version | Module | LUMI | Notes |
|---|---|---|---|
| 0.36.0 | pennylane-lightning/0.36.0-gpu |
X | default version |
| 0.35.1 | pennylane-lightning/0.35.1-gpu |
X | |
| 0.32.0 | pennylane-lightning-kokkos/0.32.0 |
X |
All modules are based on Tykky using LUMI-container-wrapper.
Wrapper scripts have been provided so that common commands such as python,
python3, pip and pip3 should work as normal. For more information, see
LUMI container wrapper.
License
Pennylane is licensed under Apache License 2.0.
Usage
To use the default version of Pennylane on LUMI, initialize it with:
module use /appl/local/quantum/modulefiles
and
module load pennylane-lightning
If you wish to have a specific version (see above for available versions), use:
module load pennylane-lightning/0.36.0-gpu
where 0.36.0-gpu is the specified version
This command will also show all available versions:
module avail pennylane-lightning
Example batch script
Example batch script for reserving one GPU and CPU core in a single node:
#!/bin/bash
#SBATCH --account=<project>
#SBATCH --partition=dev-g
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=1
#SBATCH --mem=128G
#SBATCH --time=0:10:00
#SBATCH --gpus=1
#SBATCH --job-name=pennylane-example
# setting environment variables to specify how the OpenMP threads in a program are bound to processors
export OMP_PROC_BIND=spread
export OMP_PLACES=threads
module load pennylane-lightning
python3 <file_name>.py
Submit the script with sbatch <script_name>.sh