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.dev20230924-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.dev20230924-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.dev20230924-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.dev20230924-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.dev20230924-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230924-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cf10bf314d148da724542de3d17c32ec34298716dd7cdd19a337b14b4caaa8c5
MD5 8d69290efdee246b556d7ba93daa33b6
BLAKE2b-256 db943e8f32cb5e9ea472eb46b92212a0ba0a700b83ed2a948c1471d218c34afc

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230924-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230924-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 3f720754be3ff17c419248bb328298e968eb46a3c257c9c27742400b77c7f53f
MD5 3e0a84cdf01f7576c90657d42513787e
BLAKE2b-256 41c39dda22712e3f762ccff11d098d59fe2c0ae93153627842082ca772d2908b

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230924-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230924-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6e26a4fc9c99bc0fcb6b5f5e3e9ae378d472d235575786a44d92fcdbda198120
MD5 c625c14a28d670e0c317ca4ed9a23e02
BLAKE2b-256 1c7c4f7a277645dbdd360db19e6075a433c5a2087df9e1104b1757563de73e1e

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230924-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230924-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6576a36de5bb95dd9fb5dd9203ad83df27fe31b1f83dc8ef15e985ab7aa153ce
MD5 ff2f23e35238a15f1e81551ab62358b1
BLAKE2b-256 de202cad8d8573aff03f47bc48666db26bc0e153f16bca2e1226da31c2c57e82

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