Qiskit
Qiskit is an open-source software for working with quantum computers at the level of circuits, pulses, and algorithms.
News
15.7.2023 Installed qiskit/0.43.2 with all major Qiskit packages and
added support for CUDA-acceleration.
Available
Currently supported Qiskit versions:
| Version | Module | Puhti | Mahti | Notes |
|---|---|---|---|---|
| 0.43.2 | qiskit/0.43.2 |
X | X | default version |
Includes all the major Qiskit packages (Terra, Nature, Aer, etc.) and GPU support for the
CUDA-accerelerated simulation methods. The qiskit/0.43.2 package includes
qiskit-aer 0.13.0 as it is build from source.
The module also includes the python packages that are often used with qiskit, such
as matplotlib 3.7.2, scipy 1.11.1, pandas 2.0.3, numpy 1.25.1, and jupyterlab 4.0.3.
If you find that some package is missing, you can often install it yourself with pip install --user.
See our Python documentation for
more information on how to install packages yourself. If you think that some important
Qiskit-related package should be included in the module provided by CSC, please
contact our servicedesk.
All modules are based on containers using Apptainer (previously known as Singularity).
Wrapper scripts have been provided so that common commands such as python,
python3, pip and pip3 should work as normal. For more information, see
CSC's general instructions on how to run Apptainer containers.
License
Qiskit is licensed under Apache License 2.0.
Usage
To use the default version of Qiskit on Puhti or Mahti, initialize it with:
module load qiskit
If you wish to have a specific version (see above for available versions), use:
module load qiskit/0.43.2
The Qiskit module can also be used from the Puhti web interface using Jupyter and Jupyterlab. Check out our Jupyter documentation.
Example batch script
Example batch script for reserving one GPU and two CPU cores in a single node:
#!/bin/bash
#SBATCH --account=<project>
#SBATCH --partition=gpu
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=2
#SBATCH --mem=8G
#SBATCH --time=1:00:00
#SBATCH --gres=gpu:v100:1
module load qiskit
srun python myprog.py <options>
#!/bin/bash
#SBATCH --account=<project>
#SBATCH --partition=gpusmall
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=2
#SBATCH --time=1:00:00
#SBATCH --gres=gpu:a100:1
module load qiskit
srun python myprog.py <options>
Submit the script with sbatch <script_name>.sh
Small code example
Do note that this code is just to highlight the syntax.
import qiskit
from qiskit_aer import AerSimulator
# Generate 3-qubit GHZ state
circ = qiskit.QuantumCircuit(3)
circ.h(0)
circ.cx(0, 1)
circ.cx(1, 2)
circ.measure_all()
# Construct an ideal simulator that uses GPU
simulator = AerSimulator(method="statevector", device="GPU")
# Execute the circuit with cuStateVec enabled.
result_ideal = qiskit.execute(circ, simulator, cuStateVec_enable=True).result()
counts_ideal = result_ideal.get_counts(0)
print('Counts(ideal):', counts_ideal)