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Update README links

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dhslichter 2017-07-21 09:26:02 -06:00 committed by Sébastien Bourdeauducq
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README.rst
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:target: https://m-labs.hk/artiq
ARTIQ (Advanced Real-Time Infrastructure for Quantum physics) is the next-generation control system for quantum information experiments.
It is developed by `M-Labs <https://m-labs.hk>`_ for and in partnership with the `Ion Storage Group at NIST <http://www.nist.gov/pml/div688/grp10/index.cfm>`_ as free software.
It is developed by `M-Labs <https://m-labs.hk>`_ for and in partnership with the `Ion Storage Group at NIST <https://www.nist.gov/pml/time-and-frequency-division/ion-storage>`_ as free software.
It is offered to the entire research community as a solution equally applicable to other challenging control tasks outside the field of 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. It includes graphical user interfaces to parametrize and schedule experiments and to visualize and explore the results.
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It is designed to be portable to hardware platforms from different vendors and FPGA manufacturers.
Currently, several different configurations of a `high-end FPGA evaluation kit <http://www.xilinx.com/products/boards-and-kits/ek-k7-kc705-g.html>`_ are used and supported. This FPGA platform can be combined with any number of additional peripherals, either already accessible from ARTIQ or made accessible with little effort.
Custom hardware components with widely extended capabilities and advanced support for scalable and fully distributed real-time control of experiments `are being designed <https://github.com/m-labs/artiq-hardware>`_.
Custom hardware components with widely extended capabilities and advanced support for scalable and fully distributed real-time control of experiments `are being designed <https://github.com/m-labs/sinara>`_.
ARTIQ and its dependencies are available in the form of `conda packages <https://conda.anaconda.org/m-labs/label/main>`_ for both Linux and Windows.
Packages containing pre-compiled binary images to be loaded onto the hardware platforms are supplied for each configuration.