M-Labs
/
artiq
mirror of https://github.com/m-labs/artiq.git
2
0
Fork 2
Code Issues Projects Releases Wiki Activity
A leading-edge control system for quantum information experiments
866 Commits 13 Branches 35 Tags 26 MiB
Python 76%
Rust 22.5%
Jupyter Notebook 0.7%
Nix 0.6%
Assembly 0.1%
Go to file
Robert Jördens 1d5f467da7 pdq2: implement changes in trigger/jump semantics, add unittest 
The unittests now runs the compute_samples.Synthesizer against the actual
gateware and verifies similarity (up to integer rounding errors).
 		2015-04-05 03:55:54 -06:00
.travis Add support for automatic build and upload of dev conda artiq packages to binstar by travis-ci 2015-03-30 19:51:52 +08:00
artiq pdq2: implement changes in trigger/jump semantics, add unittest 2015-04-05 03:55:54 -06:00
benchmarks Experiment base class, replace __artiq_unit__ with docstring 2015-03-08 15:55:30 +01:00
conda move patches into misc 2015-04-02 17:06:19 +08:00
doc move patches into misc 2015-04-02 17:06:19 +08:00
examples photon_histogram: remove +x permissions, add units to parameter defs 2015-04-04 21:13:30 -06:00
misc move patches into misc 2015-04-02 17:06:19 +08:00
soc runtime: use UP/AMP terminology 2015-04-05 17:55:05 +08:00
.gitignore master: basic automatic experiment list 2015-02-21 20:34:31 -07:00
.travis.yml tests: make hardware-in-the loop flags positive logic 2015-04-03 11:51:03 +08:00
README.rst README: coveralls badge needs branch name 2015-02-05 03:44:57 -07:00
setup.py add Thorlabs T-Cube NDSP 2015-03-04 14:30:49 +00:00

README.rst 

.. image:: doc/logo/artiq.png
.. image:: https://travis-ci.org/m-labs/artiq.svg
    :target: https://travis-ci.org/m-labs/artiq
.. image:: https://coveralls.io/repos/m-labs/artiq/badge.svg?branch=master
    :target: https://coveralls.io/r/m-labs/artiq?branch=master

ARTIQ (Advanced Real-Time Infrastructure for Quantum physics) is a
next-generation control system for quantum information experiments. It is
being developed in partnership with the Ion Storage Group at NIST, and its
applicability reaches beyond ion trapping.

The system features a high-level programming language that helps describing
complex experiments, which is compiled and executed on dedicated hardware with
nanosecond timing resolution and sub-microsecond latency.

Technologies employed include Python, Migen, MiSoC/mor1kx, LLVM and llvmlite.

ARTIQ is licensed under 3-clause BSD.

Website:
http://m-labs.hk/artiq