What is Qibocal?#
Qibocal is a python module that implements Quantum Characterization Validation and Verification using Qibo and Qibolab.
Protocols#
Here is a scheme with the protocols currently available in Qibocal:
Key features#
Automatization of calibration routines.
Declarative inputs using runcard.
Generation of a report.
How to Use the Documentation#
Welcome to the comprehensive documentation for Qibocal! This guide will help you navigate through the various sections and make the most of the resources available.
Installation and Setup: Begin by referring to the Installation instructions guide to set up the Qibocal library in your environment.
Tutorials: Explore the Tutorials section for a range of tutorials that cater to different levels of expertise. These tutorials cover basic examples, real experiments, and guides for extending the library with new instruments.
API Reference: For an in-depth exploration, visit the qibocal package section. Here, you’ll find automatically compiled documentation generated from present docstrings. This reference offers comprehensive insights into the various classes, methods, and attributes available within the library.
Contents#
Introduction
Guides
- Tutorials
- Protocols
- Time Of Flight (Readout)
- Calibrate Discrimination Kernels
- Resonator spectroscopy
- Resonator punchout
- Qubit spectroscopies
- Rabi experiments
- Ramsey experiments
- T1 experiments
- T2 experiments
- Hahn echo experiments
- Frequency vs flux experiments
- Flux crosstalk experiments
- Single Shot Experiments
- Dispersive shift
- All-XY
- Flipping
- Readout mitigation matrix
- Avoided crossing
- Readout optimization
- Standard Randomize Benchmarking
- Chevron
- Virtual Z
- State Tomographies
- Coupler Chevron
- References
Main documentation
Documentation links