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.dev20230831-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.dev20230831-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.dev20230831-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.dev20230831-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.dev20230831-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230831-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 26e45bd65a81c54527baae8f42ce1f21c6222862ca610ec3db6ade46ddff28d6
MD5 337c6a548513dea266be4e8a5f1c322c
BLAKE2b-256 6d8712c85141b81362722aa3c28ee2a24996e4556af729fc349282ad972d9422

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230831-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230831-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 3cfc1c0ab8c6f9960b77189d0b4fd1755a0cda498a2dd6af90320db82a040a33
MD5 43a4486f3447be06c3ddbbc52a343b28
BLAKE2b-256 dd8749f7e3005e09259deca96ab03056d881c75bea132643d215fab69f9e06db

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230831-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230831-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ab12bbcbd84cacc550558a6b03daaf357ed423a95bc62f531c263f5a5fa81dcd
MD5 b8ea751b2436378c65b2c7f8018b2487
BLAKE2b-256 21656f380016f8d969add4f900638b89fc0428e6c8c5cfffe9c5cef7bd16b3dc

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230831-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230831-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ffe21724e7b96df82577eb5e7d36eeec35c816dd9fc62d8956c15bfa068e139e
MD5 3d226c9e0bf03cd9fff6fff04dce1560
BLAKE2b-256 966e336c2afc05424a5fd3dfecb5a2aeb270eabcc49a067b42f775a954f82df4

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