A simple tool to schedule batches of quantum circuits to be run in the IBMQ platform, with a simple command line terminal to which an input folder containing OpenQASM files is fed.
This tool allows circuits to be run in job batches of configurable size (batches of 5 for free IBMQ users), and saves the results after each batch is run.
It supports the selection of a varying size of circuit lists per job (usually with a maximum of ~50 circuits per job, depending on the circuit size), different optimization levels, different IBMQ backends and a local Qiskit Aer simulation backend.
At the moments, in order to save IBMQ result objects containing useful information like device properties and stats, results are saved on .pkl files.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
You'll need Python and the below packages installed:
qiskit
tqdm
traceback
This can be done by running:
pip install qiskit tqdm traceback
To see the allowed arguments, run:
python simulation.py -h
From the python file, the arguments' definitions:
'indir', type=str, help='Input dir for circuits'
'outdir', type=str, help='Output dir for results'
'backend', type=str, help='Backend to be used'
'--circs_per_job', type=int, default=1, help='provide an integer (default: 5)'
'--optim', type=int, default=0, help='provide an integer (default: 5)'
'--jobs', type=int, default=5, help='provide an integer (default: 5)'
'-t', action="store_true", default=False, help = 'Transpile only'
More complete instructions soon...
A tool was made by the developed that loads the results from the .pkl files into a Pandas dataframe, and computes some values of interest, like circuit depth, size, and probability of success.
(To be added)
- Diogo Valada