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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.
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Release files for tfq-nightly 0.7.3.dev20230807
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| File | Actions Reset | |||
|---|---|---|---|---|
| tfq_nightly-0.7.3.dev20230807-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.17+ x86-64 | Details for tfq_nightly-0.7.3.dev20230807-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| tfq_nightly-0.7.3.dev20230807-cp39-cp39-macosx_12_1_x86_64.whl | CPython 3.9 | CPython 3.9 | macosx 12 1 x86 64 | Details for tfq_nightly-0.7.3.dev20230807-cp39-cp39-macosx_12_1_x86_64.whl |
| tfq_nightly-0.7.3.dev20230807-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.17+ x86-64 | Details for tfq_nightly-0.7.3.dev20230807-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| tfq_nightly-0.7.3.dev20230807-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.17+ x86-64 | Details for tfq_nightly-0.7.3.dev20230807-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
Total release size: 40.9 MB
Release files / tfq_nightly-0.7.3.dev20230807-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / tfq_nightly-0.7.3.dev20230807-cp39-cp39-macosx_12_1_x86_64.whl
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Release files / tfq_nightly-0.7.3.dev20230807-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | tfq_nightly-0.7.3.dev20230807-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 10.8 MB |
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Release files / tfq_nightly-0.7.3.dev20230807-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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