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.dev20230709-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.dev20230709-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.dev20230709-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.dev20230709-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.dev20230709-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230709-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4555a9e1d7e2c0a1df74ba468f79fb401b1b4f0c9bfc2487b09f57ce8398512
MD5 b13355f0d721876e296e2ee552503153
BLAKE2b-256 e75b80d892bbec927590563256fafdec10ea24a7667dc31731ab5929295e5a07

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230709-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230709-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 386d6ce71b650949e6d0ff4bb7d3f5e21f547df44524f8ec8bd50bdce37aedad
MD5 05729dd7201d4de43fe3463ea0630550
BLAKE2b-256 6e01542c25a553590f6d0d42d9f35ee68252af3115766cfd88d480f5117ac7f9

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230709-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230709-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 177f7c1c024ccec014595ff43a89e0f0fbfa7bbc1c4268178bd7235376c45527
MD5 0ba45ba67c34ffe9b0c80295c4de9a56
BLAKE2b-256 38aa870bc8ab61d02cd7fa8e8266d20b66f69a2534b37309094f3d6747e02487

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230709-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230709-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 96d43887741a39b82ec21f516d4a5b1f263d7f8f77d3a8df3474b9a022b0251b
MD5 0877b3bdd31916e176cfeeb24d64790b
BLAKE2b-256 5631bbf5e7d9df1db5fe6a760578edeacb76847b6bca1b9135033f2197d4c6bd

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