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        "description": "ProjectQ - An open source software framework for quantum computing\n==================================================================\n\n.. image:: https://travis-ci.org/ProjectQ-Framework/ProjectQ.svg?branch=master\n    :target: https://travis-ci.org/ProjectQ-Framework/ProjectQ\n\n.. image:: https://coveralls.io/repos/github/ProjectQ-Framework/ProjectQ/badge.svg\n    :target: https://coveralls.io/github/ProjectQ-Framework/ProjectQ\n\n.. image:: https://readthedocs.org/projects/projectq/badge/?version=latest\n    :target: http://projectq.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://badge.fury.io/py/projectq.svg\n    :target: https://badge.fury.io/py/projectq\n    \n.. image:: https://img.shields.io/badge/python-2.7%2C%203.4%2C%203.5%2C%203.6-brightgreen.svg\n\n\nProjectQ is an open source effort for quantum computing.\n\nIt features a compilation framework capable of\ntargeting various types of hardware, a high-performance quantum computer\nsimulator with emulation capabilities, and various compiler plug-ins.\nThis allows users to\n\n-  run quantum programs on the IBM Quantum Experience chip\n-  simulate quantum programs on classical computers\n-  emulate quantum programs at a higher level of abstraction (e.g.,\n   mimicking the action of large oracles instead of compiling them to\n   low-level gates)\n-  export quantum programs as circuits (using TikZ)\n-  get resource estimates\n\nExamples\n--------\n\n**First quantum program**\n\n.. code-block:: python\n\n    from projectq import MainEngine  # import the main compiler engine\n    from projectq.ops import H, Measure  # import the operations we want to perform (Hadamard and measurement)\n\n    eng = MainEngine()  # create a default compiler (the back-end is a simulator)\n    qubit = eng.allocate_qubit()  # allocate a quantum register with 1 qubit\n\n    H | qubit  # apply a Hadamard gate\n    Measure | qubit  # measure the qubit\n\n    eng.flush()  # flush all gates (and execute measurements)\n    print(\"Measured {}\".format(int(qubit)))  # converting a qubit to int or bool gives access to the measurement result\n\n\nProjectQ features a lean syntax which is close to the mathematical notation used in quantum physics. For example, a rotation of a qubit around the x-axis is usually specified as:\n\n.. image:: docs/images/braket_notation.svg\n    :alt: Rx(theta)|qubit>\n    :width: 100px\n\nThe same statement in ProjectQ's syntax is:\n\n.. code-block:: python\n\n    Rx(theta) | qubit\n\nThe **|**-operator separates the specification of the gate operation (left-hand side) from the quantum bits to which the operation is applied (right-hand side).\n\n**Changing the compiler and using a resource counter as a back-end**\n\nInstead of simulating a quantum program, one can use our resource counter (as a back-end) to determine how many operations it would take on a future quantum computer with a given architecture. Suppose the qubits are arranged on a linear chain and the architecture supports any single-qubit gate as well as the two-qubit CNOT and Swap operations:\n\n.. code-block:: python\n\n    from projectq import MainEngine\n    from projectq.backends import ResourceCounter\n    from projectq.ops import QFT\n    from projectq.setups import linear\n\n    compiler_engines = linear.get_engine_list(num_qubits=16,\n                                              one_qubit_gates='any',\n                                              two_qubit_gates=(CNOT, Swap))\n    resource_counter = ResourceCounter()\n    eng = MainEngine(backend=resource_counter, engine_list=compiler_engines)\n    qureg = eng.allocate_qureg(16)\n    QFT | qureg\n    eng.flush()\n\n    print(resource_counter)\n\n    # This will output, among other information,\n    # how many operations are needed to perform\n    # this quantum fourier transform (QFT), i.e.,\n    #   Gate class counts:\n    #       AllocateQubitGate : 16\n    #       CXGate : 240\n    #       HGate : 16\n    #       R : 120\n    #       Rz : 240\n    #       SwapGate : 262\n\n\n**Running a quantum program on IBM's QE chips**\n\nTo run a program on the IBM Quantum Experience chips, all one has to do is choose the `IBMBackend` and the corresponding compiler:\n\n.. code-block:: python\n\n    compiler_engines = projectq.setups.ibm16.get_engine_list()\n    eng = MainEngine(IBMBackend(use_hardware=True, num_runs=1024,\n                                verbose=False, device='ibmqx5'),\n                     engine_list=compiler_engines)\n\n\n**Classically simulate a quantum program**\n\nProjectQ has a high-performance simulator which allows simulating up to about 30 qubits on a regular laptop. See the `simulator tutorial <https://github.com/ProjectQ-Framework/ProjectQ/blob/feature/update-readme/examples/simulator_tutorial.ipynb>`__ for more information. Using the emulation features of our simulator (fast classical shortcuts), one can easily emulate Shor's algorithm for problem sizes for which a quantum computer would require above 50 qubits, see our `example codes <http://projectq.readthedocs.io/en/latest/examples.html#shor-s-algorithm-for-factoring>`__.\n\n\nThe advanced features of the simulator are also particularly useful to investigate algorithms for the simulation of quantum systems. For example, the simulator can evolve a quantum system in time (without Trotter errors) and it gives direct access to expectation values of Hamiltonians leading to extremely fast simulations of VQE type algorithms:\n\n.. code-block:: python\n    \n    from projectq import MainEngine\n    from projectq.ops import All, Measure, QubitOperator, TimeEvolution\n\n    eng = MainEngine()\n    wavefunction = eng.allocate_qureg(2)\n    # Specify a Hamiltonian in terms of Pauli operators:\n    hamiltonian = QubitOperator(\"X0 X1\") + 0.5 * QubitOperator(\"Y0 Y1\")\n    # Apply exp(-i * Hamiltonian * time) (without Trotter error)\n    TimeEvolution(time=1, hamiltonian=hamiltonian) | wavefunction\n    # Measure the expection value using the simulator shortcut:\n    eng.flush()\n    value = eng.backend.get_expectation_value(hamiltonian, wavefunction)\n\n    # Last operation in any program should be measuring all qubits\n    All(Measure) | qureg\n    eng.flush()\n\n\n\nGetting started\n---------------\n\nTo start using ProjectQ, simply follow the installation instructions in the `tutorials <http://projectq.readthedocs.io/en/latest/tutorials.html>`__. There, you will also find OS-specific hints, a small introduction to the ProjectQ syntax, and a few `code examples <http://projectq.readthedocs.io/en/latest/examples.html>`__. More example codes and tutorials can be found in the examples folder `here <https://github.com/ProjectQ-Framework/ProjectQ/tree/develop/examples>`__ on GitHub.\n\nAlso, make sure to check out the `ProjectQ\nwebsite <http://www.projectq.ch>`__ and the detailed `code documentation <http://projectq.readthedocs.io/en/latest/>`__.\n\nHow to contribute\n-----------------\n\nFor information on how to contribute, please visit the `ProjectQ\nwebsite <http://www.projectq.ch>`__ or send an e-mail to\ninfo@projectq.ch.\n\nPlease cite\n-----------\n\nWhen using ProjectQ for research projects, please cite\n\n-  Damian S. Steiger, Thomas H\u00e4ner, and Matthias Troyer \"ProjectQ: An\n   Open Source Software Framework for Quantum Computing\"\n   `Quantum 2, 49 (2018) <https://doi.org/10.22331/q-2018-01-31-49>`__\n   (published on `arXiv <https://arxiv.org/abs/1612.08091>`__ on 23 Dec 2016)\n-  Thomas H\u00e4ner, Damian S. Steiger, Krysta M. Svore, and Matthias Troyer\n   \"A Software Methodology for Compiling Quantum Programs\" `Quantum Sci. Technol. 3 (2018) 020501 <https://doi.org/10.1088/2058-9565/aaa5cc>`__ \n   (published on `arXiv <http://arxiv.org/abs/1604.01401>`__ on 5 Apr 2016)\n\nAuthors\n-------\n\nThe first release of ProjectQ (v0.1) was developed by `Thomas\nH\u00e4ner <http://www.comp.phys.ethz.ch/people/person-detail.html?persid=179208>`__\nand `Damian S.\nSteiger <http://www.comp.phys.ethz.ch/people/person-detail.html?persid=165677>`__\nin the group of `Prof. Dr. Matthias\nTroyer <http://www.comp.phys.ethz.ch/people/troyer.html>`__ at ETH\nZurich.\n\nProjectQ is constantly growing and `many other people <https://github.com/ProjectQ-Framework/ProjectQ/graphs/contributors>`__ have already contributed to it in the meantime.\n\nLicense\n-------\n\nProjectQ is released under the Apache 2 license.",
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