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

If you're not sure about the file name format, learn more about wheel file names.

tfq_nightly-0.7.3.dev20231201-cp39-cp39-macosx_12_1_x86_64.whl (8.5 MB view details)

Uploaded CPython 3.9macOS 12.1+ x86-64

File details

Details for the file tfq_nightly-0.7.3.dev20231201-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20231201-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 ffcff29b5a387bfba5ef4d888b8e7a4ac4ddeba0661b299cea49f84837e2ef95
MD5 fd76bf1822a150d630080aad8acc930c
BLAKE2b-256 dc83ccafe64abd346895a0c9e10aeadc94b559ff6a55f342997521bc64b69808

See more details on using hashes here.

Supported by

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