I already give my vote for the prize on consistently-awesome talks to Robin Kothari.

#QCTiP 2026: come for the talks, stay for the socks!

Good evening Oxford, ready for QCTiP!
Excited to catch up with cool people and cool research 😄

This was a fantastic collaboration with colleagues at @freieuniversitaet.bsky.social: Seongwook Shin (now at Sejong University), Sofiène Jerbi, @jenseisert.bsky.social, and Maximilian J. Kramer.

Do check out the paper and let us know your thoughts!

Together, you can view our paper as a recipe book which, depending on your quantum-hardware capabilities, will spell out the best implementation for inference in quantum kernel methods.

I'm particularly intrigued whether similar techniques can be used to speed-up training as well.

The main message is that the usual approach can be refined in two independent ways, which together yield a quadratic improvement.
We show that this improvement is optimal, and along the way we give insight into a zoo of intermediate algorithmic choices.

Today we posted a new pre-print on #QuantumKernels: scirate.com/arxiv/2604.15214

This time, instead of searching for kernels that achieve quadvantage and whatnot, we concentrate on how to perform inference: how to best evaluate a learned hypothesis on new data.

#QML & #QuantumAlgorithms!

After several years of being young, today I got old: today was the last time I attended an opera with the crazy discounts you get in Berlin for being under 30. I guess I'll need to start making millions now.
I had a good closure though: der Rosenkavalier at the Staatsoper!

This is very close to my heart.

One thing I found genuinely exciting was following the developments in "understanding generalization in deep learning" before transformers stole all the thunders.
This perhaps explains why I've had the personal goal of modernizing the study of generalization in #QML.

A PAC-Bayesian approach to generalization for quantum models Generalization is a central concept in machine learning theory, yet for quantum models, it is predominantly analyzed through uniform bounds that depend on a model's overall capacity rather than the sp...

New #QML paper alert! 📝🧠⚛️

🧐 A PAC-Bayesian approach to generalization for quantum models
arxiv.org/abs/2603.22964

This collaboration involved some seriously hard and fun work by @pablones8.bsky.social, Matthias Caro, Carlos Bravo-Prieto, @fjschreiber.bsky.social, and @jenseisert.bsky.social

🎆 Congratulations to Sergi Masot Llima, from the Quantic group, on the successful defence of his #PHD thesis!

🙌 Well done, Sergi! Wishing all the best in your career ahead.

#BSCTalent

The pleasure was all ours 😁

Thanks @markwilde.bsky.social for illuminating our learning & algorithms seminar with your views on #QBM s, we had a blast :)

To be honest I always thought this is what would happen. Any part of a system that can be fully off-loaded to an automated algorithm could in-principle be removed entirely from the system. No?

I just misunderstood someone, thinking they said "Parametrized Quantum Circus", and tbh I find it quite relatable #QML 🎪🤡 New goal: become known as a quantum clown.

The bad thing about January being way colder than usual, is that now February being as cold as usual is shattering my willpower.

Hats off to the choice of meme 🥲

And, from what she says, she would love spending it too!

Woooooow I wasn't aware @terriblemapshq.bsky.social is on bluesky! This alone made my day. Let's roll!

Were there many advantages of a monopolar world beyond the lower total number of nuclear weapons? (Not that that should be neglected) I guess also the simpler system, but yeah that relies very much on the goodwill of the powerful.

This year's Quantum Computing Theory in Practice Conference (QCTiP) is scheduled for 04/20/2026-04/25/2026 in Oxford, UK 🇬🇧: qctipconf.github.io

Talk submission deadline is just round the corner: 01/11/2026. Looking forward to many exciting contributions and a great time in Hogwarts🪄, aehm Oxford🎓.

#NousICREAs2025 |📊 Gergely Neu (@neu-rips.bsky.social @upf.edu) estudia els fonaments de l’aprenentatge automàtic i IA, amb l’objectiu de desenvolupar algoritmes més transparents i robustos, capaços de prendre decisions fiables en el món real.

https://short.do/JYHhN1

This was a fantastic collaboration with colleagues from Berlin and Barcelona (back to the roots!). A heartfelt thank you to my co-authors Sergi Masot-Llima, Carlos Bravo-Prieto, @jenseisert.bsky.social, and Tommaso Guaita ☺️

Prospects for quantum advantage in machine learning from the representability of functions Demonstrating quantum advantage in machine learning tasks requires navigating a complex landscape of proposed models and algorithms. To bring clarity to this search, we introduce a framework that conn...

Very happy about our new pre-print!
Here, we share how we think about potential quadvantage in #QML, from the point of view of the function families that arise from usual Parametrized Quantum Circuits.
Please do let us know what you think about our perspective :)
scirate.com/arxiv/2512.1...

Improved Lower Bounds for QAC0 In this work, we establish the strongest known lower bounds against QAC$^0$, while allowing its full power of polynomially many ancillae and gates. Our two main results show that: (1) Depth 3 QAC$^0...

Very excited to share a new paper with Malvika Joshi, Avishay Tal, and John Wright on “Improved Lower Bounds for QAC^0”! In this work, we prove the strongest known lower-bounds to date for QAC^0 with the full power of polynomially many ancillae.

arXiv: arxiv.org/abs/2512.14643

We received a similar one in the past, which I found infuriating. My coauthors proposed we calmly reply to it pretending it was serious / written by a human, because the claims and criticisms were hardly about our paper. I still felt we should have loudly complained about it, but we didn't.

Maybe I extrapolated from a small sample size 😇

Observations from #QTML25: when compared to previous editions, memes-on-slides have been almost entirely replaced by emojis-on-slides 🤔

Oh, I'm always bothered when the opposite happens! Curious to know whether there's a one-size-fits-all solution to customizing this at the browser level.

Quantum Computing and Early Fault-Tolerant Simulations at Los Alamos National Laboratory Los Alamos National Laboratory is Hiring! Search available jobs or submit your resume now by visiting this link. Please share with anyone you feel would be a great fit.

Our group is looking to hire postdocs to work at the intersection of quantum computing, quantum algorithms, quantum machine learning, simulation of many-body quantum systems and early-fault tolerant quantum computing

Apply here:
lanl.jobs/search/jobde...

Reposts appreciated!