######## Quantify ######## .. figure:: /figures/QUANTIFY_LANDSCAPE_DM.svg :width: 800px :align: center :alt: Quantify logo :class: only-dark .. figure:: /figures/QUANTIFY_LANDSCAPE.svg :width: 800px :align: center :alt: Quantify logo :class: only-light `Quantify `_ is a Python-based data acquisition framework focused on Quantum Computing and solid-state physics experiments. The framework consists of `quantify-core `_ and `quantify-scheduler `_. Quantify-core tutorials ^^^^^^^^^^^^^^^^^^^^^^^ The :code:`quantify-core` package contains all basic functionality to control experiments. The following tutorials are hosted on the :code:`quantify-core` documentation website: .. toctree:: :maxdepth: 1 :name: tutorials_quantify_core Controlling a basic experiment using MeasurementControl (external) Advanced capabilities of the MeasurementControl (external) Building custom analyses - the data analysis framework (external) Adaptive Measurements (external) Plot monitor (external) Quantify-scheduler tutorials ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The :code:`quantify-scheduler` package enables experimentalists to define complex experiments easily and produces synchronized pulse schedules to be distributed to the control hardware. Its hybrid gate-pulse control model allows quantum gate- and pulse-level descriptions to be combined in a clearly defined and hardware-agnostic way. The following tutorials are hosted on the :code:`quantify-scheduler` documentation website: .. toctree:: :maxdepth: 1 :name: tutorials_quantify_scheduler Running an Experiment (external) Schedules and Pulses (external) Compiling to Hardware (external) Operations and Qubits (external) Acquisitions (external) ScheduleGettable (external) Qblox-specific tutorials ^^^^^^^^^^^^^^^^^^^^^^^^ These tutorials introduce the capabilities and interfaces of Qblox hardware, using Quantify as interface. .. toctree:: :maxdepth: 1 :name: tutorials_quantify_qblox quantify_tutorials/basic_sequencing.ipynb