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.dev20230707-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.dev20230707-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.dev20230707-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.dev20230707-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.dev20230707-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230707-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b4de21cde8e10640bd1c9b904f5180016e72c8233384b25f64b3b11caf6211be
MD5 1b9ae79250d861502e466bdbee32c24d
BLAKE2b-256 13791b78944a854e569df8179c1fece726985bd0881692fb77a802cf187e6031

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230707-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230707-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 6f0c20a5cc4b7041758c9c8367bbc63a7b371c142e84778bbfe0cdee2c6858ae
MD5 3dc5daa9c076d6f705a5b03981a13736
BLAKE2b-256 ffb780c2d92eec8c80489a6c3d71d92af8c28b53ee84b3eec25c7a83deca6452

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230707-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230707-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e8657997be384ebfcee6bdc77bba6db4d200c9d0eea8596b61bf4f394b5470e5
MD5 4fd9a277a615b9595a6a973d3343ed90
BLAKE2b-256 2430eb4a67b88d4918be931d06afd7149f3a33ba2a34d993daf31037fd31ddce

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230707-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230707-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5bf825ab4d7b0a81483d12908981171ebbd8850012610f5b09bc8fb5d0687fcc
MD5 26e2f679376cf0b9f6df12b0e5639395
BLAKE2b-256 34a5e56b4efbeeaca46c1fae47b862fc2c117f99a245c85eb281de51adc6f0bd

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