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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.dev20230705
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tfq_nightly-0.7.3.dev20230705-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.dev20230705-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| tfq_nightly-0.7.3.dev20230705-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.dev20230705-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| tfq_nightly-0.7.3.dev20230705-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.dev20230705-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
Total release size: 32.5 MB
Release files / tfq_nightly-0.7.3.dev20230705-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Size | 10.8 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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| Uploaded via |
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Release files / tfq_nightly-0.7.3.dev20230705-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | tfq_nightly-0.7.3.dev20230705-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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Release files / tfq_nightly-0.7.3.dev20230705-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | tfq_nightly-0.7.3.dev20230705-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 10.8 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.17
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