This service takes a Python-based quantum implementation (i.e., a Python file and a requirements.txt file) as input and splits it into its quantum and classical parts. It further generates a workflow. Additionally, an agent is generated which handles the transfer of input/output parameters between the script parts and the workflow.
The qscript-splitter can be used in conjunction with the QuantME Transformation Framework. Furthermore, a use case showing the analysis and rewrite of quantum workflows using the qiskit-runtime-handler is available here.
- Clone the repository:
git clone https://github.com/UST-QuAntiL/qscript-splitter.git
- Start the containers using the docker-compose file:
docker-compose pull
docker-compose up
Now the qscript-splitter is available on http://localhost:8889/.
Start Redis, e.g., using Docker:
docker run -p 5040:5040 redis --port 5040
Before starting the qscript-splitter, define the following environment variables:
FLASK_RUN_PORT=8889
REDIS_URL=redis://$DOCKER_ENGINE_IP:5040
Thereby, please replace $DOCKER_ENGINE_IP with the actual IP of the Docker engine you started the Redis container.
- Install SQLite DB, e.g., as described here
- Create a
data
folder in theapp
folder - Setup the results table with the following commands:
flask db migrate -m "results table"
flask db upgrade
Start a worker for the request queue:
rq worker --url redis://$DOCKER_ENGINE_IP:5040 script-splitting-handler
Finally, start the Flask application, e.g., using PyCharm or the command line.