tensorflow-quantum

TensorFlow Quantum is a library for hybrid quantum-classical machine learning.

These details have not been verified by PyPI

Project links

Homepage

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

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.7.3

May 16, 2024

0.7.2

Jul 28, 2022

0.7.1

Jul 28, 2022

0.7.0

Jul 18, 2022

0.6.1

Feb 3, 2022

0.6.0

Aug 16, 2021

0.5.1

Jun 5, 2021

This version

0.5.0

May 16, 2021

0.4.0

Oct 6, 2020

0.3.1

Aug 7, 2020

0.3.0

May 11, 2020

0.2.0

Feb 28, 2020

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

tensorflow_quantum-0.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (7.8 MB view hashes)

Uploaded May 16, 2021 CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.5.0-cp38-cp38-macosx_10_11_x86_64.whl (6.2 MB view hashes)

Uploaded May 16, 2021 CPython 3.8 macOS 10.11+ x86-64

tensorflow_quantum-0.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (7.8 MB view hashes)

Uploaded May 16, 2021 CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.5.0-cp37-cp37m-macosx_10_11_x86_64.whl (6.2 MB view hashes)

Uploaded May 16, 2021 CPython 3.7m macOS 10.11+ x86-64

tensorflow_quantum-0.5.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (7.8 MB view hashes)

Uploaded May 16, 2021 CPython 3.6m manylinux: glibc 2.12+ x86-64

tensorflow_quantum-0.5.0-cp36-cp36m-macosx_10_11_x86_64.whl (6.2 MB view hashes)

Uploaded May 16, 2021 CPython 3.6m macOS 10.11+ x86-64

Hashes for tensorflow_quantum-0.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`eb5279dd161f441720acc1edff5f8fa8ca967841640dd39da22bad933d9f43b0`
MD5	`93929e64dfb309830827501fcc703a26`
BLAKE2b-256	`5e75c4d59849ee138a6e1cd66c85fb1e5d4e4c8c86ff6ee77c000a800fce7bbe`

Hashes for tensorflow_quantum-0.5.0-cp38-cp38-macosx_10_11_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp38-cp38-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`a77da1730d3ecc62faf1546598572ca541b66280f1239940379d3532eadae604`
MD5	`0e4a2f9f07420ef8754a8fc39b749096`
BLAKE2b-256	`253f9acfbe3d2bd07c9ca2119c2dd0fcc36810aaa046d1d9a4822a5662c1c053`

Hashes for tensorflow_quantum-0.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`90f236c6b74bf65e5d4c8b8dbcbc7cb39263d4379d9881a2e1055c26a90a4dda`
MD5	`931eced20aebce74feffa0c571e74878`
BLAKE2b-256	`bd255f5c6db6bb80eac91c453cd4a8953bfa69ba1893764a6d215137c6a0a442`

Hashes for tensorflow_quantum-0.5.0-cp37-cp37m-macosx_10_11_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp37-cp37m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`845104efd7499d13cdcb8b1c2b40474cf374f1d356a2b15f0148f64b3163134e`
MD5	`f843ee8af2669341dbcdba757d997211`
BLAKE2b-256	`2148d1e8b93614fe5a11bd6e1250dfce6f0f29dfae481e5a9b3495e595486159`

Hashes for tensorflow_quantum-0.5.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`c51a4f6bd48d11f25a41a223a38cb33bac9c1bca164632d6334c3b60c2f49d54`
MD5	`47c8495e27fec16b77b97c25b8557037`
BLAKE2b-256	`0a7e44e77b3b494b5619cacfad12ea43e4e85853b672ddf1e907c33a1837ff33`

Hashes for tensorflow_quantum-0.5.0-cp36-cp36m-macosx_10_11_x86_64.whl

Hashes for tensorflow_quantum-0.5.0-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`5a60b3e84cb1ccf76168977b16f1a7499476d602166ace261ec404f01bcf95be`
MD5	`81347a6a6924753ece094e75dfeed91d`
BLAKE2b-256	`70869f57a1a760321a02c49f2e90d60fb666d71880cb8e6219d7716fcf033ed7`