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.dev20230813-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.dev20230813-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.dev20230813-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.dev20230813-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.dev20230813-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230813-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f54a871ea85faf5c23f92f64c5f6f31f15bc0183bf585b57bb215395605c639a
MD5 2f46c5d37663c38159aaa4e822ffcba6
BLAKE2b-256 7738929eada00e6203e487276b42ccace37d2db451c508c49717f7e8cdb60f20

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230813-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230813-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 8357c4a170fedabc6200b6c7f676a95a68eceb1df04b0ab1770c5fa75cc5438e
MD5 a6861746c4b0387920ef3773b529192b
BLAKE2b-256 fceb9d938de813b7d1ab693de13229ddd71a48ad85f9dc4ff416017fd82376a4

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230813-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230813-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1bffbb1a354f5d76012643b67d793e78a10bdb57c41dbcf66ea92355c1459eec
MD5 877d82e8e4c32ea63132595e6f0c254e
BLAKE2b-256 4cdef3da83b2949d718dd09286b43e632c2e810b16b5b1c7af6613f1f6e2f0d2

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230813-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230813-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a633d07072eb15e7a4f6ab6af60a2b2d3941611bbde100254d1fe89afc7321f1
MD5 02b7f25033e6518d833711c2c5484fa3
BLAKE2b-256 46f69e8108e87e4002649c7fc9bcd3efed9294d7d95eae58fca2cd8d4324583f

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