Metadata-Version: 2.1
Name: pyGSTi
Version: 0.9.9.1
Summary: A python implementation of Gate Set Tomography
Home-page: http://www.pygsti.info
Author: Erik Nielsen, Kenneth Rudinger, Timothy Proctor, John Gamble, Robin Blume-Kohout
Author-email: pygsti@sandia.gov
License: UNKNOWN
Download-URL: https://github.com/pyGSTio/pyGSTi/tarball/master
Description: Gate set tomography (GST) is a quantum tomography protocol that provides full characterization of a quantum logic device
        (e.g. a qubit).  GST estimates a set of quantum logic gates and (simultaneously) the associated state preparation and
        measurement (SPAM) operations.  GST is self-calibrating.  This eliminates a key limitation of traditional quantum state
        and process tomography, which characterize either states (assuming perfect processes) or processes (assuming perfect
        state preparation and measurement), but not both together.  Compared with benchmarking protocols such as randomized
        benchmarking, GST provides much more detailed and accurate information about the gates, but demands more data.  The
        primary downside of GST has been its complexity.  Whereas benchmarking and state/process tomography data can be analyzed
        with relatively simple algorithms, GST requires more complex algorithms and more fine-tuning (linear GST is an exception
        that can be implemented easily).  pyGSTi addresses and eliminates this obstacle by providing a fully-featured, publicly
        available implementation of GST in the Python programming language.
        
        The primary goals of the pyGSTi project are to:
        
        - provide efficient and robust implementations of Gate Set Tomography algorithms;
        - allow straightforward interoperability with other software;
        - provide a powerful high-level interface suited to inexperienced programmers, so that
          common GST tasks can be performed using just one or two lines of code;
        - use modular design to make it easy for users to modify, customize, and extend GST functionality.
        
Keywords: pygsti,tomography,gate set,pigsty,pig,quantum,qubit
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Unix
Requires-Python: >=3.5
Provides-Extra: diamond norm computation
Provides-Extra: nose testing
Provides-Extra: accurate memory profiling
Provides-Extra: multi-processor support
Provides-Extra: evolutionary optimization algorithm
Provides-Extra: pickling report tables
Provides-Extra: generating PDFs of report figures
Provides-Extra: generating html reports
Provides-Extra: generating report notebooks
Provides-Extra: read/write message pack format
Provides-Extra: extension modules
Provides-Extra: linting
Provides-Extra: testing
Provides-Extra: complete
