In the absence of quantum error correction, circuits of #quantumcomputers can be logarithmically deep. www.nature.com/articles/s41...

New paper on the arXiv arxiv.org/abs/2512.10214 with my totally amazing coauthor Lennart Bittel! We solve a fundamental open question in quantum information theory and tomography: What is the optimal (query) complexity of quantum process tomography?

Super happy to share that our paper "Learning quantum states of continuous-variable systems" has been published in Nature Physics 🎉 www.nature.com/articles/s41...

Just a friendly reminder that there are currently two ads for postdocs at Los Alamos National Laboratory: Quantum Simulations of fermionic systems apply here: lanl.jobs/search/jobde... Quantum Simulations for nuclear physics apply here: lanl.jobs/search/jobde... Shares appreciated

Super happy to see that two of our papers were accepted as talks at QIP 2026 🎉 - A complete theory of the Clifford commutant arxiv.org/abs/2504.12263. - Efficient learning of bosonic Gaussian unitaries arxiv.org/abs/2510.05531.

The only thing that could possibly be hotter than Italian twins explaining entanglement in Italian is Italian triplets explaining the GHZ state.

I’m super happy to share that I have been awarded the 2025 Google PhD Fellowship -- announced yesterday at blog.google/outreach-ini... 🥳 The fellowship “recognizes outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields.”

Super happy to share our new preprint today on ArXiv: 🥳 arxiv.org/pdf/2510.05531 It’s about efficient learning of bosonic Gaussian unitaries with provable recovery guarantees in a physically motivated accuracy metric: the "energy-constrained diamond-norm".

The saga of *quantum learning theory with CV systems* never ends! And indeed, when you look closely at this field, many natural and promising questions arise. For instance: How to learn CV Gaussian unitaries? arxiv.org/pdf/2510.05531 1/

We recently posted 2 works on quantum resource theories: arxiv.org/abs/2506.19696, arxiv.org/abs/2507.10851 👂Huh? Yall want more? We got you covered with a NEW work Analyzing the free states of one quantum resource theory as resource states of another arxiv.org/abs/2507.11793

New work on Quantum resource theories! arxiv.org/abs/2507.10851 A big thanks to my collaborators @antonioannamele.bsky.social Pablo Bermejo Paolo Braccia Andrew Deneris @martinlaroo.bsky.social and [email protected] We provide a unifying framework leading to new free operations 🧵⬇️

Just had the chance to spend a wonderful week in Florence, attending the “Understanding Quantum Machine Learning” workshop ggi.infn.it/showevent.pl... organized by Leonardo Banchi, Giacomo De Palma, Anderson M. Hernandez & Dario Trevisan, at the charming Galileo Galilei Institute. 🇮🇹

Super happy to see our beautiful work out — led by the amazing Los Alamos team — now on arXiv: “Characterizing Quantum Resourcefulness via Group-Fourier Decompositions” lnkd.in/dQWhG4my. Check out Marco’s great summary!

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

A complete theory of the Clifford commutant scirate.com/arxiv/2504.1... The Clifford group is ubiquitous in quantum information science, with applications in benchmarking, quantum error correction and learning algorithms. Understanding which operators commute with is a powerful tool.

🧵 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

I'm excited to share a new preprint about learning unitary operators of mildly-interacting fermions! arxiv.org/abs/2504.11318 @antonioannamele.bsky.social posed this very interesting question to me and I'm glad to have made progress towards it.

I'm super happy to see this paper out on ArXiv today: arxiv.org/abs/2504.11318 by @vishnu-psiyer.bsky.social, presenting a quantum algorithm to learn t-doped fermionic Gaussian unitaries. This work solves one of the open questions we raised in our previous paper: journals.aps.org/prxquantum/a....

Happy to announce that our paper is now published in @quantum-journal.bsky.social . We show that deciding whether a given dataset, formed by a few Majorana correlation functions estimates, can be consistent with a free-fermionic state is an NP-complete problem. quantum-journal.org/papers/q-202...

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!

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. ⚡️

Another amazing paper from our Summer School student @antonioannamele.bsky.social (is that 3 papers already?!) and from our collaboration with the power house that are @aangrisani.bsky.social and @quantummanuel.bsky.social, from @qzoeholmes.bsky.social! 's incredible group. arxiv.org/abs/2501.13101