This is a python software with tools for error correction simulations.
- The simulations are performed via the Clifford formalism of keeping track of the stabilizers. The Tableau approach for simulating circuits introduced by Aaronson and Gottesman is also available.
- Error correction codes: By default, the surface code and 5-qubit code are included, but other error correction codes can easily be introduced.
- Available error models include Pauli errors and measurement errors.
- Decoding is possible via PyMatching and also via a lookup decoder.
- A visualizer is included to easily understand where the errors occurred and how they were corrected.
The software can be performed by cloning from Github via
git clone https://github.com/qubit-ulm/ProtoPlaqette
and installing using setup.py (appending additional flags such as --user if desired):
python setup.py install
The package can then be loaded using
import error_correction_sim
To explore how to use ProtoPlaqette, we recommend exploring the Jupyter notebooks in the examples folder. Detailed in-file docstrings are available describing all functionality in the source code.
ProtoPlaqette was developed by Dres. Shreya Kumar and Ish Dhand under guidance of Prof. Dr. Martin B Plenio with funding from the BMBF project PhoQuant. The concepts explored here were developed further in the all-encompassing fault-tolerance software package Plaquette, which was created by QCDesign and funded by the BMBF project PhotoQ. Note that ProtoPlaqette and Plaquette are different packages and share no code.