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Hybrid Quantum-Classical Machine Learning in TensorFlow
This adds settings based on some common-sense values and the TensorFlow Quantum project's current conventions, such as line length and use of spaces instead of tabs. The settings match the...
Scorecard (https://github.com/ossf/scorecard) is an automated tool that assesses a number of important checks associated with software security and assigns each check a score of 0-10. It creates a report at...
Google's security practices for GitHub Actions states the following: > When using a third-party action (one not hosted in a [Google-managed org](http://go/github/orgs)), a fixed version of the action MUST be...
Running `scripts/test_tutorials.py` results in errors about missing Python packages. The required imports are not defined in `requirements.txt`. They probably should not be loaded by `requirementst.txt` by default, because they're not...
The version of qsim currently used (via its inclusion in `WORKSPACE`) is 0.13.3; the latest version of qsim is 0.21.0. We should update to get any bug fixes or other...
GitHub repos have a setting for "social media preview", which TFQ currently does not make use of: We should add one, to enhance TFQ's visibility. This won't be hard because...
The description of TensorFlow Quantum on PyPI is … sparse. It would benefit from the addition of more information. This should be done by sharing text between the top-level README...
The consensus is that the right way to build Python software with Bazel is to use [bazelbuild/rules_python](https://github.com/bazelbuild/rules_python/blob/main/examples/pip_parse/MODULE.bazel). Bazel doesn't see changes in the Python environment installed by pip or elsewhere;...
Currently, our CodeQL configuration only scans Python. We can add C++, but it [requires extra configuration work](https://docs.github.com/en/enterprise-cloud@latest/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages). We should do that for enhanced security scanning.
Hi all, I think there is a possible [data leakage](https://en.wikipedia.org/wiki/Leakage_(machine_learning)) in [quantum data tutorial](https://github.com/tensorflow/quantum/blob/master/docs/tutorials/quantum_data.ipynb) in https://github.com/tensorflow/quantum/blob/84872800b454de6da80d6eb7faf74244a0deeb46/docs/tutorials/quantum_data.ipynb#L783-L790 when calculating https://github.com/tensorflow/quantum/blob/84872800b454de6da80d6eb7faf74244a0deeb46/docs/tutorials/quantum_data.ipynb#L731 train and test data are concatenated in these calculations. I think...
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Hybrid Quantum-Classical Machine Learning in TensorFlow