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Project description
quantify-scheduler
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-scheduler is the module that contains a toolchain for writing quantum programs. It is designed for experimentalists to easily define complex experiments, and produces synchronized pulse schedules to be distributed to control hardware.
The first full release will include:
Define procedures at the level of quantum Gates, arbitrary Pulses or a combination of the two.
Resource management.
Hardware independent internal representation.
Support for multiple frontends (QASM, IBM Qiskit, etc.).
Multiple (hardware) backends.
About
Quantify-scheduler 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.
Credits
Developers
Adriaan Rol <adriaan@orangeqs.com>
Callum Attryde <cattryde@qblox.com>
Jules van Oven <jules@qblox.com>
Victor Nigerneac <victor@qblox.com>
Contributors
None yet. Why not be the first?
Changelog
0.1.0 (2020-10-21)
Refactored scheduler functionality from quantify-core into quantify-scheduler
Support for modifying Pulsar params via the sequencer #54 (!2)
Simplification of compilation through qcompile (!1)
Qubit resources can be parameters of gates #11 (!4)
Circuit diagram visualization of operations without no pulse info raises exception #5 (!5)
Pulsar backend verifies driver and firmware versions of hardware #14 (!6)
Sequencer renamed to scheduler #15 (!7)
Documentation update to reflect refactor #8 (!8)
Refactor circuit diagram to be more usable !10 (relates to #6)
Unify API docstrings to adhere to NumpyDocstring format !11
Changes to addressing of where a pulse is played !9 (#10)
Renamed doc -docs folder for consistency #18 (!12)
Moved test folder outside of project #19 (!14)
Add copyright notices and cleanup documenation #21 (!13)
Add installation tip for plotly dependency in combination with jupyter #24 (!15)
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