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.dev20230919-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.dev20230919-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.dev20230919-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.dev20230919-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.dev20230919-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230919-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8811501765146ddb85780ec26223c485b6d6cdb678c0af2aec7489606aea904a
MD5 b4ac8d4290377b3a3313a6c074d9582d
BLAKE2b-256 354f1347df2aca1c953f555c053a0015076ab1b628b431129a7edfa43885e4d5

See more details on using hashes here.

Provenance

File details

Details for the file tfq_nightly-0.7.3.dev20230919-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230919-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 234f4c3df222312eb64d5203261bac82176bb78ec28721524ef54e6e442e166b
MD5 3efea7490f877abc42d3b4a8e0bda2c8
BLAKE2b-256 5e7414f918d4ae7bedfdb8ed378fe925168d1c7f05369d2483496b83e6b81104

See more details on using hashes here.

Provenance

File details

Details for the file tfq_nightly-0.7.3.dev20230919-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230919-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d2ae608fb7159866728bdcf92e6e692bd9766d76a80b45f5ce30f7c7e8c4fbb2
MD5 c4e48046ab312a3a01ebd70431f8faf7
BLAKE2b-256 ba04876208b072d0804626e273c722115d9a3df0a066df02231b78b08924bb64

See more details on using hashes here.

Provenance

File details

Details for the file tfq_nightly-0.7.3.dev20230919-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230919-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 512c4ad2463ca893794c674a362dd6ce6a586f46907fb59bf898fc31a4bdf531
MD5 1eb3ff70b4bb4e33615dc91ca4fd9ab8
BLAKE2b-256 0ea2fec3bfe0c734314869a41c1cb8e0d941caf3eb6c7664f9e4ead7b8a4a4c2

See more details on using hashes here.

Provenance

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