Metadata-Version: 2.1
Name: qiskit-aqt-provider
Version: 0.2.0
Summary: Qiskit provider for AQT backends
Home-page: https://github.com/Qiskit/qiskit-aqt-provider
Author: Qiskit Development Team
Author-email: qiskit@qiskit.org
License: Apache 2.0
Project-URL: Bug Tracker, https://github.com/Qiskit/qiskit-aqt-provider/issues
Project-URL: Source Code, https://github.com/Qiskit/qiskit-aqt-provider
Description: # Qiskit AQT Provider
        
        [![License](https://img.shields.io/github/license/Qiskit/qiskit-aqt-provider.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)[![Build Status](https://img.shields.io/travis/com/Qiskit/qiskit-aqt-provider/master.svg?style=popout-square)](https://travis-ci.com/Qiskit/qiskit-aqt-provider)[![](https://img.shields.io/github/release/Qiskit/qiskit-aqt-provider.svg?style=popout-square)](https://github.com/Qiskit/qiskit-aqt-provider/releases)[![](https://img.shields.io/pypi/dm/qiskit-aqt-provider.svg?style=popout-square)](https://pypi.org/project/qiskit-aqt-provider/)
        
        Qiskit is an open-source framework for working with noisy intermediate-scale
        quantum computers (NISQ) at the level of pulses, circuits, and algorithms.
        
        This project contains a provider that allows access to **[AQT]** ion-trap quantum
        devices.
        
        ## Installation
        
        You can install the provider using pip tool:
        
        ```bash
        pip install qiskit-aqt-provider
        ```
        
        `pip` will handle installing all the python dependencies automatically and you
        will always install the  latest (and well-tested) version.
        
        ## Setting up the AQT Provider
        
        Once the package is installed, you can use it to access the provider from
        qiskit.
        
        ### Use your AQT credentials
        
        You can initialize an AQT provider using your token locally with:
        
        ```python
        from qiskit.providers.aqt import AQT
        aqt = AQT.enable_account('MY_TOKEN')
        ```
        
        Where `MY_TOKEN` is your access token for the AQT device. Then you can access
        the backends from that provider:
        
        ```python
        print(aqt.backends())
        backend = aqt.get_backend('aqt_qasm_simulator')
        ```
        
        You can then use that backend like you would use any other qiskit backend. For
        example, running a bell state:
        
        ```python
        from qiskit import *
        qc = QuantumCircuit(2, 2)
        qc.h(0)
        qc.cx(0, 1)
        qc.measure([0,1], [0,1])
        result = execute(qc, backend, shots=100).result()
        print(result.get_counts(qc))
        ```
        
        For running the quantum circuit on the ion-trap quantum device you need to use `aqt_innsbruck` as backend, which needs a different access token.
        
        ## Authors and Citation
        
        The Qiskit AQT provider is the work of many people who contribute to the
        project at different levels. If you use Qiskit, please cite as per the included
        [BibTeX file].
        
        ## License
        
        [Apache License 2.0].
        
        [AQT]: https://www.aqt.eu/
        [BibTeX file]: https://github.com/Qiskit/qiskit/blob/master/Qiskit.bib
        [Apache License 2.0]: https://github.com/Qiskit/qiskit-aqt-provider/blob/master/LICENSE.txt
        
Keywords: qiskit sdk quantum
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.5
Description-Content-Type: text/markdown
