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


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-0.7.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.7.2-cp39-cp39-macosx_12_1_x86_64.whl (8.5 MB view details)

Uploaded CPython 3.9macOS 12.1+ x86-64

tensorflow_quantum-0.7.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.5 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.7.2-cp38-cp38-macosx_10_11_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.8macOS 10.11+ x86-64

tensorflow_quantum-0.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.5 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.7.2-cp37-cp37m-macosx_10_11_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.7mmacOS 10.11+ x86-64

File details

Details for the file tensorflow_quantum-0.7.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1e44348011f8d2ad5f114805825d5a6568c80ec95ae391d63f4e319ffa55412b
MD5 bb148d7f592ce4ab4ade49f02be26458
BLAKE2b-256 d72c820affe24172e4ffdcb326dedc4546199dae556abb5a84ef824354f5634a

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.2-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 adea72bcde99373851e46f2d047a37a86617cc779757f289e005a7ea0332a9c0
MD5 9a053362408d63d2e4c554778eea8a04
BLAKE2b-256 83ab256e5c340e5fe044129de1592d93ea8fd8940535755d139b0523a2ce9fc1

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fa1662ab47034ce692af9fc0e5956c2aaa3e14d6d1908d5d8b404aab7bbfad4c
MD5 dd0354f6eb1252560bdfc42e84cbbb10
BLAKE2b-256 39f03682fd6f562dd288c9560f7a58df7ce65de257cd9f777971c9d564cd82ff

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.2-cp38-cp38-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp38-cp38-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 b7b4569825398778e5079a5e0335390983f90644a2dd594cbab5627f6381e522
MD5 c938213a0bbcf994b093838a8fc39c14
BLAKE2b-256 2a7132df2daad7d85d3318ab0294656bfcb99bee10c559e752310ab26cde718c

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c8fa7d37b80d3058fbd281910533f452301fd5edd30579756e9ded0f0ca52693
MD5 621451ef2f5b99f448fde7d73bb9c4b9
BLAKE2b-256 dca5eedc08009ec8c91d213abaa1899ca302e1453c9e62e966ded31433dde3c7

See more details on using hashes here.

File details

Details for the file tensorflow_quantum-0.7.2-cp37-cp37m-macosx_10_11_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_quantum-0.7.2-cp37-cp37m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 934f98d93e835751f5a39542d9c7b9f3191bc630d8866001c90056d7ecd649cc
MD5 e59e3f69752e930b04252ac60043bdd7
BLAKE2b-256 27116a75f88cc892f2a3a070ca05ffd4a88f65de88585c8df018a3e2f1c000ac

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