Skip to main content

TensorFlow Quantum is a library for hybrid quantum-classical machine learning.

Project description

TensorFlow Quantum is an open source library for high performance batch quantum computation on quantum simulators and quantum computers. The goal of TensorFlow Quantum is to help researchers develop a deeper understanding of quantum data and quantum systems via hybrid models.

TensorFlow Quantum was created in an ongoing collaboration between the University of Waterloo and the Quantum AI team at Google along with help from many other contributors within Google.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

tfq_nightly-0.7.3.dev20231019-cp39-cp39-macosx_12_1_x86_64.whl (8.5 MB view details)

Uploaded CPython 3.9 macOS 12.1+ x86-64

File details

Details for the file tfq_nightly-0.7.3.dev20231019-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20231019-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 045c3dc7d7b01c7750f10d66e910d6729855dc62c20d3da2a80f6dbc5df575e9
MD5 54d19f058ec28870c6ffaa38915b6451
BLAKE2b-256 0df61002378b0d0c16d8cac84119deccbe6e8203b4250f8974c6c2060af8515f

See more details on using hashes here.

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