occheung
/
artiq
forked from M-Labs/artiq
1
0
Fork 0
Code Pull Requests Activity
A leading-edge control system for quantum information experiments
3,155 Commits 14 Branches 35 Tags 23 MiB
Python 76.8%
Rust 21.6%
Jupyter Notebook 0.7%
Nix 0.6%
Assembly 0.1%
Other 0.1%
Go to file
Robert Jördens 4c32334d90 introduction.rst: update license 2016-04-09 21:33:25 +08:00
artiq ipython notebook example: datasets subgroup 2016-04-08 12:21:26 +08:00
conda artiq_browser: add entry points 2016-04-05 17:22:16 +08:00
doc introduction.rst: update license 2016-04-09 21:33:25 +08:00
.gitattributes use versioneer 2015-11-09 11:33:38 +08:00
.gitignore test_h5types: use in-memory files 2016-04-05 17:18:15 +08:00
.gitmodules savannah keeps breaking, use our lwip mirror 2016-02-22 22:51:26 +08:00
CONTRIBUTING.rst CONTRIBUTING: bug reporting information 2016-02-20 11:25:21 +01:00
LICENSE update copyright/license 2015-09-05 15:50:34 -06:00
MANIFEST.in ship examples with package 2016-04-05 13:59:39 +08:00
README.rst README: note about doc/manual/introduction.rst 2016-04-09 21:32:47 +08:00
RELEASE_NOTES.rst gui/applets: use templates instead of formats 2016-04-06 17:02:26 +08:00
RELEASING.rst RELEASEING: cleanup, add note about main conda label 2016-02-18 16:50:52 +01:00
setup.cfg versioneer: remote tag_prefix = v 2016-01-18 21:28:09 -07:00
setup.py artiq_browser: add entry points 2016-04-05 17:22:16 +08:00
versioneer.py update versioneer 2015-11-09 12:19:01 +08:00

README.rst 

.. Always keep doc/manual/introduction.rst synchronized with this file except the logo.

.. image:: doc/logo/artiq.png

ARTIQ (Advanced Real-Time Infrastructure for Quantum physics) is a
next-generation control system for quantum information experiments. It is
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.

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

Copyright (C) 2014-2016 M-Labs Limited. Licensed under GNU GPL version 3.