[GSoC 2026] QMLHEP7: Add Quantum Attention baseline & repository maintenance#46
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r-karra wants to merge 3 commits intoML4SCI:mainfrom
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[GSoC 2026] QMLHEP7: Add Quantum Attention baseline & repository maintenance#46r-karra wants to merge 3 commits intoML4SCI:mainfrom
r-karra wants to merge 3 commits intoML4SCI:mainfrom
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- Quark-Gluon: physics goal, dataset info, notebook overview - Electron-Photon: EM calorimeter classification, model descriptions - MNIST: benchmark suite with classical and quantum autoencoders - Pennylane: advanced QAE variants, optimizers (QNG), physics applications Improves visibility and documentation for researchers exploring quantum autoencoders in high-energy physics.
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Summary of Contributions
This PR introduces a baseline for the GSoC 2026 QMLHEP7 project and provides maintenance updates for existing repository modules.
Added JAX+Flax Quantum Attention implementation to support the Particle Transformer research.
Added requirements.txt and setup cells to the EQNN_Cosmos_Dong folder to ensure consistent execution across environments (Colab/Codespaces).
Created comprehensive README.md files for Quantum_AE and dev_notebooks subfolders to improve project navigability.
I have verified all notebooks execute correctly in a GitHub Codespace environment.