The circuit cutting service enables the partioning of quantum circuits into smaller sub-circuits, such that circuits whose width exceeds a quantum computers number of qubits can still be executed. Moveover, the circuit depth of the sub-circuits is smaller, making them less prone to computational errors.
The easiest way to get start is using a pre-built Docker image:
docker run -p 5076:5076 planqk/circuit-cutting-service
Alternatively, the service can be built manually:
- Clone the repository using
git clone https://github.com/UST-QuAntiL/circuit-cutting-service.git - Navigate to the corresponding folder within the cloned repository
cd Quokka/services/circuit-cutting-service - Build the Docker container:
docker build -t circuit-cutting-service . - Run the Docker container:
docker run -p 5076:5076 circuit-cutting-service
Then the service can be accessed via: http://127.0.0.1:5076.
The circuit cutting service provides a Swagger UI, specifying the request schemas and showcasing exemplary requests for all API endpoints.
- Swagger UI: http://127.0.0.1:5076/api/swagger-ui.
git clone https://github.com/UST-QuAntiL/Quokka.git
cd Quokka/services/circuit-cutting-service
# if virtualenv is not installed
sudo -H pip install virtualenv
# create new virtualenv called 'venv'
virtualenv venv
# activate virtualenv; in Windows systems activate might be in 'venv/Scripts'
source venv/bin/activate
#install application requirements.
pip install -r requirements.txt- Run the application with:
flask run --port=5076 - Test with:
python -m unittest discover - Coverage with:
coverage run --branch --include 'app/*' -m unittest discover; coverage report
black . OR black FILE|DIRECTORY
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Dies ist ein Forschungsprototyp. Die Haftung für entgangenen Gewinn, Produktionsausfall, Betriebsunterbrechung, entgangene Nutzungen, Verlust von Daten und Informationen, Finanzierungsaufwendungen sowie sonstige Vermögens- und Folgeschäden ist, außer in Fällen von grober Fahrlässigkeit, Vorsatz und Personenschäden, ausgeschlossen.
The initial code contribution has been supported by the project SEQUOIA funded by the Baden-Wuerttemberg Ministry of the Economy, Labour and Housing.