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.dev20230927-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.dev20230927-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.dev20230927-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.dev20230927-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.dev20230927-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230927-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 27ec63d531f2be4a7378d4800026cbbbd04d27781a4d408a1d379565e69e923c
MD5 fdc83c6e5e5e8c067895f4501c89457c
BLAKE2b-256 672b0552953387761adb8769e1bdaa62a5148ca347efeb00f04d7da226522259

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230927-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230927-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 372dfded9490c741182c15cb73261fb42a1ad8c714afbd84d519ad41fc2956c9
MD5 1ef09d1a6b80f614e3b399c77cbaeab8
BLAKE2b-256 299bfa8e72d445938f26332433846e503f8687b8757410ab979353f84bb65547

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230927-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230927-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 072c5cd1aabd80abd2692504374984397bc359225bd7cf7b5b0d6be4d628bb8c
MD5 a6a157ee7be235e4587d324c0a767711
BLAKE2b-256 d508da886092e238e285e68282ee071c59653479d4e6b57b878e824798c718c4

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230927-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230927-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0261a4e3df1d2268d15a2f75c8a8229803c53a13982a397759e65301acf9cbb2
MD5 249ca2f3c4e8977d7f0e5f3ee2dea7f6
BLAKE2b-256 6f7529c224cc4dc47a7e2c39f8b7c5c10ca5ecb9dea3be80c44e4b470b1413b5

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