Welcome to Quantify’s documentation!

Quantify-core

Quantify is a python based data acquisition platform focused on Quantum Computing and solid-state physics experiments. It is build on top of QCoDeS and is a spiritual successor of PycQED.

Quantify-core is the core module that contains all basic functionality to control experiments. This includes:

• A framework to control instruments.

• A data-acquisition loop.

• Data storage and analysis.

• Parameter monitoring and live visualization of experiments.

Caution

This is a pre-release alpha version, major changes are expected. Use for testing & development purposes only.

About

Quantify-core is maintained by The Quantify consortium consisting of Qblox and Orange Quantum Systems.

 

 

The software is free to use under the conditions specified in the license.

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Contents:

• Installation
  • Stable release
  • From sources
  • PyQt5
• User guide
  • Introduction
  • Core concepts
  • Data storage & Analysis
• DataStorage specification
  • Dataset
• Contributing
  • Types of Contributions
  • Setting up quantify for local development
  • Merge Request Guidelines
• Credits
  • Developers
  • Contributors
• Changelog
  • 0.2.0 (2020-10-16)
  • 0.1.1 (2020-05-25)
  • 0.1.0 (2020-05-21)

Tutorials

Tutorials

• Tutorial 1. Controlling a basic experiment using MeasurementControl
  • A 1D soft(ware) controlled loop
  • A 2D soft(ware) controlled loop
• Tutorial 2. Advanced capabilities of the MeasurementControl
  • A 1D hard(ware) controlled loop: Resonator Spectroscopy
  • Software Averaging: T1 Experiment
  • Interrupting
• Tutorial 3. Adaptive Measurements
  • Finding a minimum
  • Adaptive Sampling
  • FAQ

API Reference

Contents:

API reference

• quantify
• data
  • types
  • handling
• measurement
• utilities
  • experiment_helpers
• visualization

Indices and tables

• Index

• Module Index

• Search Page