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Hybrid Quantum-Classical Machine Learning in TensorFlow
This PR adds several more constraints in `requirements.in` in order to produce a set that supports building TFQ for Python 3.9 as well as 3.10 – 3.12. This means TFQ...
This adds a couple of files for tools used by scripts in `./scripts/`: * A config file for YAPF, copied from the TensorFlow repo. Even though it's very simple, it's...
 The Fate Crystal architecture represents a paradigm shift in both quantum information science and Large Language Model (LLM) structural alignment. Unlike traditional periodic structures or oscillating time crystals, the...
https://github.com/users/mrlindzer2-dotcom/projects/1/views/1 - >     ```      …]() ![Uploading bh_pipeline_notebook.md …]()    ```
It turns out there are different paths to get to the security page on GitHub, and one of them ends up with a broken image. In retrospect, my attempt to...
Post-0.7.5, we need to determine what platforms we can support. There is a matrix formed by operating system, OS version, CPU architecture, GPU/no GPU, and possibly other dimensions. This issue...
As noted in the release notes for [TensorFlow Quantum (TFQ) 0.7.5](https://github.com/tensorflow/quantum/releases/tag/v0.7.5), this version is compatible with TensorFlow 2.16 and Keras 2; however, Colab has version 2.19 preinstalled, and downgrading TensorFlow...
The version number is defined in the following files: * `tensorflow_quantum/__init__.py` * `release/setup.py` It's not clear why `setup.py` doesn't simply get the version number from `__init__.py`, but we should try...
Gym is no longer supported, and the recommendation is to switch to [Gymnasium](https://gymnasium.farama.org/introduction/migration_guide/). The tutorial on reinforcement learning uses Gym; we should convert the tutorial to use Gymnasium to avoid...
Some trivial deviations from `clang-format` in a small number of files seem to have crept in over time. This meant that running the format check scripts in `scripts/` could report...
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Hybrid Quantum-Classical Machine Learning in TensorFlow