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        "author": "Philippe Faist",
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        "description": "# Reliable Quantum Process Tomography\n\n![QPtomographer](QPtomographer.svg)\n\nDerive quantum error bars for quantum processes in terms of the diamond norm to\na reference quantum channel.\n\nTheory: see arXiv:XXXX.XXXXX\n\n\n## Installation\n\nSee detailed installation instructions here:\nhttps://QPtomographer.readthedocs.io/en/latest/install\n\nBasically:\n\n- you need to download & compile [SCS \u2265 2.0](https://github.com/cvxgrp/scs);\n\n- you need to have the `tomographer` package\n  installed [as described here][tomographer_py_inst];\n  \n- you can install `QPtomographer` via `pip`.\n\n[tomographer_py_inst]: https://tomographer.github.io/tomographer/get-started/#python-version\n\n\nHere are quick-and-easy steps for some common setups:\n\n### Ubuntu/Linux\n\nDownload & compile [SCS \u2265 2.0](https://github.com/cvxgrp/scs):\n\n    > sudo apt-get install liblapack-dev\n    > cd $HOME/Downloads\n    > curl -L https://github.com/cvxgrp/scs/archive/v2.0.2.tar.gz -o scs-2.0.2.tar.gz\n    > tar xvfz scs-2.0.2.tar.gz && cd scs-2.0.2\n    > make CTRLC=0 USE_OPENMP=0 USE_LAPACK=1\n\nDownload & compile `tomographer \u2265 5.4` and other prerequisites:\n\n    # If you are using *pip* (or if you're not sure):\n    > pip install numpy scipy pybind11 qutip\n    > pip install tomographer\n\n    # If you are using *anacoda/conda*:\n    > conda install numpy scipy gcc libgcc\n    > conda install -c conda-forge pybind11 qutip\n    > pip install tomographer\n\nInstall `QPtomographer` via `pip`:\n\n    > SCS_ROOT=$HOME/Downloads/scs-2.0.2 pip install QPtomographer\n\n### Apple Mac OS X\n\nDownload & compile [SCS \u2265 2.0](https://github.com/cvxgrp/scs):\n\n    > cd $HOME/Downloads\n    > curl -L https://github.com/cvxgrp/scs/archive/v2.0.2.tar.gz -o scs-2.0.2.tar.gz\n    > tar xvfz scs-2.0.2.tar.gz && cd scs-2.0.2\n    > make CTRLC=0 USE_OPENMP=0 USE_LAPACK=1 BLASLDFLAGS=\"-framework Accelerate\"\n\nDownload & compile `tomographer` and other prerequisites:\n\n    # If you are using *pip* (or if you're not sure):\n    > pip install numpy pybind11 qutip\n    > pip install tomographer\n\n    # If you are using *anacoda/conda*:\n    > conda install numpy gcc libgcc\n    > conda install -c conda-forge pybind11 qutip\n    > pip install tomographer\n\nInstall `QPtomographer` via `pip`:\n\n    > SCS_ROOT=$HOME/Downloads/scs-2.0.2 pip install QPtomographer\n\n### Alternatively, you can build and install `QPtomographer` from source\n\nAfter installing all the prerequisites, you should only have to run\n\n    > SCS_ROOT=$HOME/Downloads/scs python setup.py install\n\nspecifying the path where you compiled SCS using the environment variable\n`SCS_ROOT`.  Or, to install as administrator,\n\n    > sudo -H SCS_ROOT=$HOME/Downloads/scs python setup.py install\n\nThe good news is that `QPtomographer`'s setup script automatically picks up all\nthe C++ flags set for `tomographer` itself, and uses those same flags. Thus, if\n`tomographer` compiled, `QPtomographer` should compile as well (just make sure\nyou use the same compiler).\n\n\n## Getting started with examples\n\nThe `examples/` folder contains examples using `QPtomographer`.\n\nThe examples are provided as [jupyter notebooks][jpynb] (`*.ipynb` files).\nJupyter is a convenient environment, inspired by Mathematica and powered by\nPython, for running code interactively.\n\nTo run an example, first [install jupyter locally][jpyinst].  Then, in a\nterminal, enter the current `examples/` directory in `QPtomographer` and launch\njupyter:\n\n    > cd QPtomographer/examples\n    > jupyter notebook\n    \nThis should open your browser with a jupyter session. Click on the directory\ncorresponding to the example you wish to run, and then open the corresponding\nnotebook file (`run.ipynb` file).\n\n[jpynb]: https://jupyter.org/\n[jpyinst]: http://jupyter.readthedocs.io/en/latest/install.html\n\n\n## Full documentation and API reference\n\nFull documentation of what `QPtomographer` does, how to call the code, and\neverything you always wanted to know about `QPtomographer` but didn't dare to\nask, can be found at:\n\nhttps://QPtomographer.readthedocs.io/en/latest/install\n\n\n## License\n\n`QPtomographer` is released under the MIT License (see `LICENSE.txt`).",
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        "summary": "Reliable Diamond Norm Estimation for Quantum Process Tomography",
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