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.dev20230904-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.dev20230904-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.dev20230904-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.dev20230904-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.dev20230904-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230904-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8d7c3cc67c164e03dd4a1b6760a0925d08914317bbb453dd40942f642bc0cc44
MD5 e3f26471f18d339a9b5614f74dad258d
BLAKE2b-256 f9992c1443e583158072e581eb5704f4ddb8503b5761f941f5ce5b5085c1c60f

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230904-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230904-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 4af5b085386af746c0eb3676a12bf161847695aa7bfcad40dd6aafdcec3f8911
MD5 b0357baf8ddbbe55ccc3aaab91eb3333
BLAKE2b-256 7e803027b67c7f54a7375346f74b52a4c801652950ef3f5c75acb1729aacd88b

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230904-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230904-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b2c5a2c0a8d7c796e0a8a0ee31af2164565fcf539a0d03fa5dfb639bc3de6d07
MD5 6011d1421371afb021376fe99a7d6eee
BLAKE2b-256 1696fc6018ec49ba63ed7c64aa741cb50478651985df71223ea6cc32e7142da1

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230904-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230904-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 37b483cef2f6543839f4e856c4232469d013b378db6ee2aff9af4e0f0ce5c72c
MD5 362f411d0e8ca3a7c1dbaa2f99fe5117
BLAKE2b-256 8cffbd162871e1447270eb8a8931c7ef16f288445d45728b24a2c94c07960577

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