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In our three papers we: present rep theory tools, show how to build equivariant quantum neural networks (EQNNs), and provide theoretical guarantees for permutational-EQNNs. We believe GQML is here to stay, and we hope our works will inspire other to further explore this field!

🚨We have a new version of our work: Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Huge props to the new coauthor Quynh T. Nguyen that significantly improved the previous generalization bounds :) 😎 arxiv.org/abs/2210.09974

Great opportunity to work with great people in a beautiful location! Highly recommend

Today at 5 Marco will be giving a talk on my behalf at APS about our work on permutation equivariant QNNs. Check it out if geometric QML piques your interest! And a big shoutout to Marco for stepping in

Delighted to say that I will be presenting this work at NeurIPS Conference this coming Dec! Come check it out if you’re there! #NeurIPS

I am extremely proud to see this LANL Quantum Computing Summer School work published in npj Quantum Information Find the published version 👉link.springer.com/article/10.103… Huge props to my collaborators Louis Schatzki , Quynh T. Nguyen, fredericsauv, and Martin Larocca

The Procession to Calvary, by Pieter Bruegel the Elder, 1564, 📸 by Shamnadoes