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.dev20230913-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.dev20230913-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.dev20230913-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.dev20230913-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.dev20230913-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230913-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b026dde92215cc33447f7002edd8bd8cd840c958807c33694e1257e7c61b3c7
MD5 98e29346e3b8980399be92e645623b45
BLAKE2b-256 e80e32be3b0ffd7a9672d99e0daaf20bde0d9e5cb400dc52cf8caf0295a95c09

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230913-cp39-cp39-macosx_12_1_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230913-cp39-cp39-macosx_12_1_x86_64.whl
Algorithm Hash digest
SHA256 6c7c22cdd5de75249416bb616cd518eb5147d4a6f907e52d70bda4596d02df09
MD5 da4b2d32811ae67a3ad36c05f3857b9f
BLAKE2b-256 dbc1bf2ace883708f23cb7f11bc580689ff41ef9e15b8299c6c61e10d7021b7a

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230913-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230913-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bb41151993bc3ffe903ae6e7b0a9167eacf7f9b5709555999442b265ff100c1a
MD5 e9b03cf2f6b8787c9dd6a9a0c9ec520c
BLAKE2b-256 48a3c53abdb8121bc205a15318107928238ae5f6766a41bab22e353f4e4a38bc

See more details on using hashes here.

File details

Details for the file tfq_nightly-0.7.3.dev20230913-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tfq_nightly-0.7.3.dev20230913-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 32cc60df58a2d8929a684aa968ed36a459479e7f50c242fd4aa25708cf38a4ff
MD5 2b2b0be07fd18c939cbcf9f4116c72ea
BLAKE2b-256 22d0e1ed42b04b6a271b82677444cc1351cb13bdb288ab5075e66aac26cc3463

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