Skip to main content

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


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

If you're not sure about the file name format, learn more about wheel file names.

tensorflow_quantum-0.7.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (12.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

tensorflow_quantum-0.7.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (12.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

tensorflow_quantum-0.7.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (12.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

tensorflow_quantum-0.7.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (12.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

File details

Details for the file tensorflow_quantum-0.7.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 3ad79f5cf4c988291e489cd7f8e88e0c5adb6c5f0251d2ec31abecba5c2ea0cc
MD5 abb610dc10e865100843bae532f7e48d
BLAKE2b-256 2d765e8005bef3ded8b9a0984449687f70cec90e8f3e549e77f9eb9bef7760bb

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 f9d2215bfe1db3fa918be2708c6297bdd4253bb829691d23c533060408916807
MD5 535471c890e8a9e05350a119c5646c32
BLAKE2b-256 e1156bb0d0d17e78920b5195e1dec5839dc999ca1d032f0012a8672acdd0f3cc

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 1fe4407ccb09143a6874cc4852c8f8000225ce833d2b36886983d221b75827b2
MD5 217aeac8b9adfa64cf158923926d02a0
BLAKE2b-256 b6bbd47f127fe7dc6066ac3260cb832b4a802b86524239bbd094250943f1158e

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 917cc077a6a9dcef1db17929d2109dae28d0d0fb2dc28dccd5a4a95849fe2b13
MD5 e8785dd58715260d23c1400af667a240
BLAKE2b-256 96f0d6e37cdf4b2b54340570846b9200a9ff87dc432974f12c0318ac27d88566

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page