Skip to main content

A python implementation of Gate Set Tomography

Project 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyGSTi-0.9.10.1.tar.gz (16.7 MB view hashes)

Uploaded Source

Built Distributions

pyGSTi-0.9.10.1-cp39-cp39-win_amd64.whl (7.4 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

pyGSTi-0.9.10.1-cp39-cp39-win32.whl (7.3 MB view hashes)

Uploaded CPython 3.9 Windows x86

pyGSTi-0.9.10.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (16.1 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

pyGSTi-0.9.10.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl (15.7 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

pyGSTi-0.9.10.1-cp39-cp39-macosx_10_9_x86_64.whl (7.9 MB view hashes)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyGSTi-0.9.10.1-cp38-cp38-win_amd64.whl (7.4 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

pyGSTi-0.9.10.1-cp38-cp38-win32.whl (7.3 MB view hashes)

Uploaded CPython 3.8 Windows x86

pyGSTi-0.9.10.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (16.6 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

pyGSTi-0.9.10.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl (16.1 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

pyGSTi-0.9.10.1-cp38-cp38-macosx_10_9_x86_64.whl (7.9 MB view hashes)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pyGSTi-0.9.10.1-cp37-cp37m-win_amd64.whl (7.4 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

pyGSTi-0.9.10.1-cp37-cp37m-win32.whl (7.3 MB view hashes)

Uploaded CPython 3.7m Windows x86

pyGSTi-0.9.10.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.5 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

pyGSTi-0.9.10.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl (15.2 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

pyGSTi-0.9.10.1-cp37-cp37m-macosx_10_9_x86_64.whl (7.9 MB view hashes)

Uploaded CPython 3.7m macOS 10.9+ x86-64

pyGSTi-0.9.10.1-cp36-cp36m-win_amd64.whl (7.6 MB view hashes)

Uploaded CPython 3.6m Windows x86-64

pyGSTi-0.9.10.1-cp36-cp36m-win32.whl (7.4 MB view hashes)

Uploaded CPython 3.6m Windows x86

pyGSTi-0.9.10.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.6 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

pyGSTi-0.9.10.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl (15.2 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.12+ i686

pyGSTi-0.9.10.1-cp36-cp36m-macosx_10_9_x86_64.whl (7.9 MB view hashes)

Uploaded CPython 3.6m macOS 10.9+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page