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 Distributions

tfq_nightly-0.7.3.dev20230916-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tfq_nightly-0.7.3.dev20230916-cp39-cp39-macosx_12_1_x86_64.whl (8.5 MB view details)

Uploaded CPython 3.9 macOS 12.1+ x86-64

tfq_nightly-0.7.3.dev20230916-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tfq_nightly-0.7.3.dev20230916-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file tfq_nightly-0.7.3.dev20230916-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230916-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8dc7c631a934e5444b6951059b8a1bc1556a541524c83b188b4929a34b4f0bc2
MD5 fbe6743ddfa203c45fd6106e1699b8e6
BLAKE2b-256 a5a1cdf80ea34a5572533b36b2fc4b6898f95a737489c298e848b92bf8900e89

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230916-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230916-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 83feec1982d71dafaff637c2d6e1e856eb2cc8dbb5b1c358ff69fd92fd2979e8
MD5 8f6b946a891d898737e9035453a77665
BLAKE2b-256 24758c99d29c3b9edb14dc0a21297ff5f48fa986cf22be7820cfa308d28689ab

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230916-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230916-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff397ffec91c509f0be5110b5848af5c47bb24c0936d86ab1be45614411a27b8
MD5 467a31da21f07980cfb8609f409c4763
BLAKE2b-256 d1fe76b5c529abd0ec2a5176503830c8d34e68d379f174f38a6709a824d28184

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230916-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230916-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7f24ef34210b5c99359cb1f6cfd2cbd6716c05024fd8d7c24d79b7798bfc99fa
MD5 6155be54d66790fe93dfa7de967b8c15
BLAKE2b-256 be891004ec3928c0cbcc6924e8b38466ded04cc3f2d19d935c99fd703bc4ee96

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