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.dev20230801-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.dev20230801-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.dev20230801-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.dev20230801-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.dev20230801-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230801-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 797a8c5f12b74d80ac582159d07f1661454466c53d921b0098ca8314d5877485
MD5 f0d5085cdaf7c7d6da5152883ae69e65
BLAKE2b-256 9102d69b2aee5b1c9448add7ce482d1ac3a95d9ddc1cb0e7d53b40e2e9e3d759

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230801-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230801-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 18817b147fcbd21dabf8fc206ee5724c6399090eb7d900c0a649c824434debfe
MD5 f516f2f1c76e7e82372813b169c14030
BLAKE2b-256 4d67697080941580ea9b3f69d3e130c5548d099adc43244bba6616e131c6ab39

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230801-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230801-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4cdcf7e235aef5432b20e0e78dbd8d8afee22d4f55f7f14b420c1b503d0617c0
MD5 25a71490ad79ee65a553ed2bc05e0a1c
BLAKE2b-256 1188d81d595007f20c13385a9f7a3ea34d6099322dcd8634f2be8f7ea124e2ef

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230801-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230801-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7884b669d54f76fa84acc554c96e7071dc83358e5390380072ce11e9e427c829
MD5 77d07e12e087947606c24970f43e9ce3
BLAKE2b-256 cf73f162e3fdc177b34cdb325da56494bf88497c1b65d60be42c67f704ac1449

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