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A leading-edge control system for quantum information experiments
2,069 Commits 63 Branches 34 Tags 19 MiB
Python 78.2%
Rust 20.1%
Jupyter Notebook 0.7%
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whitequark 82b470891f transforms.interleaver: handle function calls (as atomic so far). 
This commit solves issue #2 described in 50e7b44; a function call
is now a valid decomposition for a delay instruction, and this
metadata is propagated when the interleaver converts delays.

However, the interleaver does not yet detect that a called function
is compound, i.e. it is not correct.
2015-11-21 03:34:24 +08:00
.travis travis/get-*: fail build earlier on problems 2015-11-04 23:38:51 +08:00
artiq transforms.interleaver: handle function calls (as atomic so far). 2015-11-21 03:34:24 +08:00
conda conda: use vivado for kc705 builds 2015-11-04 18:36:34 +08:00
doc Explicitly use the python3.5 binary everywhere. 2015-11-07 13:39:39 +03:00
examples examples/device_db: add comment about KC705/QC1 2015-11-04 17:10:10 +08:00
lit-test transforms.interleaver: handle function calls (as atomic so far). 2015-11-21 03:34:24 +08:00
misc Add binutils patch. 2015-08-09 23:33:00 +03:00
.gitignore Update .gitignore. 2015-11-07 15:14:43 +03:00
.gitmodules Merge branch 'master' into new-py2llvm 2015-11-07 12:57:18 +03:00
.travis.yml Merge branch 'master' into new-py2llvm 2015-11-07 12:57:18 +03:00
CONTRIBUTING CONTRIBUTING: s/real name/legal name/. 2015-09-09 16:08:58 +08:00
LICENSE update copyright/license 2015-09-05 15:50:34 -06:00
README.rst update copyright/license 2015-09-05 15:50:34 -06:00
setup.py compiler: give suggestions in diagnostics for unbound variable. 2015-11-15 23:09:40 +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

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

Copyright (C) 2014-2015 M-Labs Limited. Licensed under GNU GPL version 3.