Antonio Anna Mele

@antonioannamele.bsky.social

Thinking about Quantum information at Freie Universität Berlin antonioannamele.com

We know LLMs can one-shot quantim information papers now, and even write decent manuscripts. What's the consensus of proper practice for what to do with those AI-generated papers? I review the proof, I sign my name, acknowledge the it is AI made, put it on arxiv, rinse, repeat?

Glad to see our Clifford commutant paper accepted as a talk at TQC 2025 happening later this year in India! 🥳

Antonio Anna Mele@antonioannamele.bsky.social · last yr.

🧵 Super excited to finally share our new paper 🎉 Together with the dream team- Lennart Bittel, @jenseisert.bsky.social, Lorenzo Leone, @sfeoliviero.bsky.social - we present a full theory of the Clifford commutant ⚡, a central object in quantum information. ⚛️ 📄 arxiv.org/abs/2504.12263

Super happy to see our work "Efficient learning of quantum states prepared with few fermionic non-Gaussian gates" now published in PRX Quantum. ⚛️ 🥳 Huge thanks to my incredible coauthor Yaroslav Herasymenko for the fun collaboration! 🚀 Catch our talk at #QIP2025 to learn more!

Efficient Learning of Quantum States Prepared With Few Fermionic Non-Gaussian Gates

A novel tomography algorithm with provably optimal run-time can uncover fundamental properties of a broad class of states and provide efficient circuit compilation.

journals.aps.org

Check out the great Bluesky-thread by Armando about our recent work. ⚛️ We show that ‘typical’ noisy circuits can be efficiently simulated classically for any local noise and circuit architecture — in contrast to fault-tolerantly designed noisy circuits. ⚡️

Armando Angrisani@aangrisani.bsky.social · 2y ago

In arXiv:2501.13101, we explore a broad class of noisy circuits across all geometries, significantly relaxing the strict assumptions on geometric locality and noise models imposed by prior works.