Error mMitigation sService for NISQ dDevices
The error mitigation service can mitigate the impact of errors of noisy measurement results obtained from a quantum computer.
This service enables the generation and management of calibration and mitigation data for multiple QPU providers. Further, it allows users to mitigate their execution results based on the basis of freshlynewly generated or already existing mitigation data, speeding up the error mitigation process. The error mitigation service currently implements multiplevarious methods, such as Mthree or TPNM for IBMQ and IonQ. Moreover, the service enables to simulate error mitigation for results obtained on noisy quantum simulators. Thereby, users can choose between complete noise models and noise models only containing readout errors.
Running the ApplicationService
The easiest way to get start is using Docker-Compose:
- Clone the repository using
git clone https://github.com/UST-QuAntiL/error-mitigation-service.git - Navigate to the repository and start it by running
docker-compose up
Then the applicationservice can be accessed via: http://127.0.0.1:5071.
API Documentation
The error mitigation services provides a Swagger UI, specifying the request schemas and showcasing exemplary requests for all API endpoints.
Setup (exemplary for ubuntu 18.04):
git clone https://github.com/UST-QuAntiL/error-mitigation-service.git cd error-mitigation-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 service requirements.#install application requirements.pip install -r requirements.txt
Note: The error mitigation service uses MinIO for data storage and management. Further, Qiskit-Service needs to be running for the execution of quantum circuitcircuits on IBM quantum devices. It is recommended to use the setup included in the docker-compose.yml
Execution:
- Run the
applicationservice with:flask run --port=5071 - Test with:
python -m unittest discover - Coverage with:
coverage run --branch --include 'app/*' -m unittest discover; coverage report
Note: Make sure to have included all required credentials as environment variables for testing when running tests.
Haftungsausschluss
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.
Acknowledgements
The initial code contribution has been supported by the project SEQUOIA funded by the Baden-Wuerttemberg Ministry of the Economy, Labour and Housing.