QNET 1.1.7
Tools for symbolically analyzing quantum feedback networks.
Latest Version: 1.4.1
QNET====
The QNET package is a set of tools created and compiled to aid in the design and analysis of photonic circuit models.
Our proposed Quantum Hardware Description Language (cf. QHDL_) serves to describe a circuit topology and specification of a larger entity in terms of parametrizable subcomponents.
This is strongly analogous to the specification of electric circuitry using the structural description elements of VHDL or Verilog.
The physical systems that can be modeled within the framework include quantum optical experiments that can be described as nodes with internal degrees of freedom such as interacting quantum harmonic oscillators and/or Nlevel quantum systems that,
in turn are coupled to a finite number of external bosonic quantum fields.
To get help installing and using QNET, please read this README, visit our `homepage <http: mabuchilab.github.com="" qnet="">`_ which includes the `official documentation <https: qnet.readthedocs.org="" en="" latest=""/>`_, sign up to our `mailing list <http: groups.google.com="" group="" qnetuser="">`_,
or consult and perhaps contribute to our `wiki <https: github.com="" mabuchilab="" qnet="" wiki="">`_.
In particular, check out the `Roadmap <https: github.com="" mabuchilab="" qnet="" wiki="" roadmap="">`_.
In the near future, it will be possible to use QNET together with `Cirq <https: github.com="" ntezak="" cirq="">`_ which
allows to edit circuits graphically from within the IPython_ notebook.
Contents

The package consists of the following components:
1. A symbolic computer algebra package ``qnet.algebra`` for Hilbert Space quantum mechanical operators, the GoughJames circuit algebra and also an algebra for Hilbert space *Ket*states and *Superoperators* which themselves act on operators.
2. The QHDL_ language definition and parser ``qnet.qhdl`` including a frontend located at ``bin/parse_qhdl.py`` that can convert a QHDLfile into a circuit component library file.
3. A library of existing primitive or composite circuit components ``qnet.circuit_components`` that can be embedded into a new circuit definition.
.. _Dependencies:
Dependencies

In addition to these core components, the software uses the following existing software packages:
0. Python_ version 2.6 or higher. QNET is still officially a Python 2 package, but migration to Python 3 should not be too hard to achieve.
1. The gEDA_ toolsuite for its visual tool ``gschem`` for the creation of circuits end exporting these to QHDL ``gnetlist``. We have created device symbols for our primitive circuit components to be used with ``gschem`` and we have included our own ``gnetlist`` plugin for exporting to QHDL.
2. The SymPy_ symbolic algebra Python package to implement symbolic 'scalar' algebra, i.e. the coefficients of state, operator or superoperator expressions can be symbolic SymPy expressions as well as pure python numbers.
3. The QuTiP_ python package as an extremely useful, efficient and full featured numerical backend. Operator expressions where all symbolic scalar parameters have been replaced by numeric ones, can be converted to (sparse) numeric matrix representations, which are then used to solve for the system dynamics using the tools provided by QuTiP.
4. The PyX_ python package for visualizing circuit expressions as box/flow diagrams.
5. The SciPy_ and NumPy_ packages (needed for QuTiP but also by the ``qnet.algebra`` package)
6. The PLY_ python package as a dependency of our Python Lex/Yacc based QHDL parser.
A convenient way of obtaining Python as well as some of the packages listed here (SymPy, SciPy, NumPy, PLY) is to download the Enthought_ Python Distribution (EPD) or Anaconda_ which are both free for academic use.
A highly recommended way of working with QNET and QuTiP and just scientific python codes in action is to use the excellent IPython_ shell which comes both with a commandline interface as well as a very polished browserbased notebook interface.
.. _Python: http://www.python.org
.. _gEDA: http://www.gpleda.org
.. _QHDL: http://rsta.royalsocietypublishing.org/content/370/1979/5270.abstract
.. _QNET: http://mabuchilab.github.com/QNET/
.. _SymPy: http://SymPy.org/
.. _QuTiP: http://code.google.com/p/qutip/
.. _PyX: http://pyx.sourceforge.net/
.. _SciPy: http://www.scipy.org/
.. _NumPy: http://numpy.scipy.org/
.. _PLY: http://www.dabeaz.com/ply/
.. _Anaconda: https://store.continuum.io/cshop/anaconda/
.. _IPython: http://ipython.org/
Installation/Configuration

To install QNET you need a working Python installation as well as `pip <https: pip.pypa.io="" en="" latest="" installing.html="">`_
which comes preinstalled with both the Enthought Python distribution and Anaconda.
If you have already installed PyX_ just run:
Run::
pip install QNET
If you still need to install PyX_, run::
pip install processdependencylinks QNET
gEDA

Setting up gEDA/gschem/gnetlist is a bit more involved. To do this, you should download the QNET package manually from github.
If you are using Linux or OSX, geda is available via common package managers such as `port` and `homebrew` on OSX or
apt for Linux.
To configure gEDA to include our special quantum circuit component symbols you will need to copy the following configuration files from the ``QNET/gEDA_support/config`` subdirectory to the ``$HOME/.gEDA`` directory:
 ``~/.gEDA/gafrc``
 ``~/.gEDA/gschemrc``
Then install the QHDL netlister plugin within gEDA by creating a symbolic link (or copy the file there)
In the shell cd into the QNET directory and then run
::
ln s gEDA_support/gnetqhdl.scm /path/to/gEDA_resources_folder/scheme/gnetqhdl.scm
**Note that you should replace "/path/to/gEDA_resources_folder" with the full path to the gEDA resources directory!**
in my case that path is given by ``/opt/local/share/gEDA``, but in general simply look for the gEDAdirectory that contains the file named ``systemgafrc``.
Using QNET in practice

A possible full workflow using QNET is thus:
I. Use ``gschem`` (of gEDA) to graphically design a circuit model.
II. Export the schematic to QHDL using ``gnetlist`` (also part of gEDA)
III. Parse the QHDLcircuit definition file into a Python circuit library component using the parser frontend ``bin/parse_qhdl.py``.
IV. Analyze the model analytically using our symbolic algebra and/or numerically using QuTiP.
This package is still work in progress and as it is developed by a single developer, documentation and comprehensive testing code is still somewhat lacking.
Any contributions, bug reports and general feedback from endusers would be highly appreciated. If you have found a bug, it would be extremely helpful if you could try to write a minimal code example that reproduces the bug.
Feature requests will definitely be considered. Higher priority will be given to things that many people ask for and that can be implemented efficiently.
To learn of how to carry out each of these steps, we recommend looking at the provided examples and reading the relevant sections in the QNET manual.
Also, if you want to implement and add your own primitive device models, please consult the QNET manual.
Acknowledgements

`Hideo Mabuchi <mailto:hmabuchi@stanford.edu>`_ had the initial idea for a software package that could exploit the GoughJames SLH formalism to generate an overall open quantum system model for a quantum feedback network based solely on its topology and the component models in analytic form.
The actual QNET package was then planned and implemented by `Nikolas Tezak <mailto:ntezak@stanford.edu>`_. In its current form, QNET comprises
functionality [#additionalFeatures]_ that goes well beyond what would be necessary to achieve the original goal, but which has proven to be immensely useful.
In addition to the authors of the software packages listed under Dependencies_ that QNET relies on, we would like to acknowledge the following people's direct support to QNET which included their vision, ideas, examples, bug reports and feedback.
 Michael Armen
 Armand Niederberger
 Joe Kerckhoff
 Dmitri Pavlichin
 Gopal Sarma
 Ryan Hamerly
 Michael Hush
Work on QNET was directly supported by DARPAMTO under Award No. N660011114106. Nikolas Tezak is also supported by a Simons Foundation Math+X fellowship as well as a Stanford Graduate Fellowship.
.. [#additionalFeatures] E.g., all algebras except the operator algebra are not strictly necessary to achieve just the original objective.
License

QNET is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
QNET is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with QNET. If not, see `this page <http: www.gnu.org="" licenses=""/>`_.
Copyright (C) 2012, Nikolas Tezak
.. image:: https://d2weczhvl823v0.cloudfront.net/mabuchilab/QNET/trend.png
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File  Type  Py Version  Uploaded on  Size  

QNET1.1.7.tar.gz (md5)  Source  20140807  648KB  
 Author: Nikolas Tezak
 Home Page: http://github.com/mabuchilab/QNET

Categories
 Development Status :: 4  Beta
 Environment :: Console
 Intended Audience :: Science/Research
 License :: OSI Approved :: GNU General Public License (GPL)
 Operating System :: OS Independent
 Programming Language :: Python
 Programming Language :: Python :: 2
 Topic :: Scientific/Engineering :: Mathematics
 Topic :: Scientific/Engineering :: Physics
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