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.dev20231111-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.dev20231111-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20231111-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 51e28fe5fefe8dda8913e82d2fed16c0dacb2248e2cb4cdec50323d7be0ee862
MD5 5ce401c92f8053edecb94b2903ed1ad2
BLAKE2b-256 ca3e5d4ba4a9f2ab21aad83e2a48af7bc3cfb11fc4d937587f72503c21841c7b

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