srenblad
/
artiq
forked from M-Labs/artiq
1
0
Fork 0
Code Pull Requests Activity
A leading-edge control system for quantum information experiments
1,157 Commits 63 Branches 34 Tags 19 MiB
Python 78.2%
Rust 20.1%
Jupyter Notebook 0.7%
Nix 0.7%
Assembly 0.1%
Other 0.1%
Go to file
whitequark ec9d40b04f Add LLVM IR generation for function calls. 2015-07-21 13:45:27 +03:00
.travis travis: generate kc705 and pipistrello binaries in container env 2015-05-21 00:19:06 +08:00
artiq Add LLVM IR generation for function calls. 2015-07-21 13:45:27 +03:00
benchmarks recover_underflow -> break_realtime 2015-05-03 20:45:28 +08:00
conda conda: add pyqtgraph+quamash dependencies/recipes and remove gbulb and cairoplot3 2015-05-22 17:35:21 +02:00
doc doc: update mock modules 2015-05-22 22:39:26 +08:00
examples scheduler: pass priority to experiments 2015-05-24 20:37:47 +08:00
lit-test Teach closures to LocalAccessValidator. 2015-07-19 12:08:26 +03:00
misc Remove UP support. 2015-04-27 20:43:45 +08:00
soc runtime: add missing include 2015-05-21 12:00:48 +08:00
.gitignore Add lit-based tests for type inferencer. 2015-06-06 16:58:23 +03:00
.gitmodules git: ignore untracked files in lwip submodule 2015-05-03 20:48:20 +08:00
.travis.yml Only build the master branch on Travis. 2015-06-13 09:34:31 +03:00
README.rst README: coveralls badge needs branch name 2015-02-05 03:44:57 -07:00
setup.py Add lit-based tests for type inferencer. 2015-06-06 16:58:23 +03:00

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