Jupyter example: Mid-circuit measurement tools

Jupyter notebook example: Mid-circuit measurement tools

In this notebook, we showcase different tools to improve the qubits' readout fidelity, using mid-circuit measurement tools (MCMs). In particular, we will implement post-selection (PS) and maximum likelihood 3 readout (ML-3 RO). Click on the Binder link in the notebook to open an interactive version.

This notebook is written by Ruggero Di Carlo from QuTech, Delft.

More noteboooks can be found on our github examples repository. You can also use Binder to start an interactive session using the other notebooks.

Jupyter notebook