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.dev20230819-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.dev20230819-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.dev20230819-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.dev20230819-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.dev20230819-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230819-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e7c2953d000d01b04158ea4ca65a7af56859f8a4eb00bc6be7db7f8314cf9eed
MD5 131d5eeb1e9ae52fb39d27e510e88f96
BLAKE2b-256 ced3b6f0c867fbb0e05f9d49a4066eb478b03a904f7918a2832334d103ae9b6e

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230819-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230819-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 58df433e9af164a7a8c2c507cd8197a97250d3ba794af777ea185d03ac41a6e4
MD5 e2188e1279440613a762c65231ecac2d
BLAKE2b-256 ac064b9c1b9b35c008ad58c20dad25188557ec447352063ff07a80ca7b2244ba

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230819-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230819-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 93cd4244b2246d34f0895f4cd287b354d7e395992f4c746fc999e73fe1cd1087
MD5 ba3e5513629603b92a19b8ae9ad6a43c
BLAKE2b-256 f452decf4439eddc097b78af97c60d8c4b84fdfa5aac732d8a6bc94918f88b1c

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230819-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230819-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7914d4efa7d3da20e37f6cc0211964a513fe38e077f99ae8aa1ad38199414e20
MD5 5739a24dcdcb2b671aaebec967ae4e7a
BLAKE2b-256 05655a2208db8e3b7cd406d42719a80e345b06b4e5a529a9cd024b0912f30640

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