Megafires, floods, extreme weather and rising heat deaths were predicted by climate models more than 30 years ago. Now the window for action is rapidly closing, and science warns of a far greater crisis ahead. What are we going to do? repositori.upf.edu/server/api/c...
Elies Gil-Fuster
@eliesgf.bsky.social
Researcher in the making. Loves music and boardgames. 'we didn't come here to pet spiders'. eliesgilfuster.eu.
Last week we posted a super-exciting work, on #DoubleDescent in #QuantumMachineLearning, specifically for usual gradient-trained #ParametrizedQuantumCircuits: arxiv.org/abs/2607.21409 The Germany-Netherlands Academia-Industry collaboration was spear-headed by Marie Kempkes, who is just great!
Cautious optimism for deep parameterized quantum circuits
A central challenge in quantum machine learning is understanding the scaling behavior of parameterized quantum circuits (PQCs). In particular, it remains unclear how their performance on unseen data c...
arxiv.org
Today I learned: la Marseillaise was written by Claude.
Yay! Forms are so much fun 🎉🎊 If you're a quantum researcher, we would love it if you could fill the form (<10 minutes) and share it with your network. Thanks!
My good friend and famed lover of questionnaires @eliesgf.bsky.social has a simple question for the quantum info community: what do you think when you hear the terms "strong" and "weak simulation? He (and by extension, me) would love it if you filled in this Google Form! forms.gle/wfFcwBPdaafv...
Opinion: should I be ashamed of asking editors / area chairs "in your opinion, does this submission look like AI slop?" before accepting / declining an invitation to review? #research #peerreview #aislop
My fallback career choice is to open a restaurant called "Margherita & Margarita".
I had missed this blogpost by @e6peters.bsky.social, it's really good! (The previous ones are also really good, but I didn't miss those :P) peterse.github.io/2025/09/06/Q...
Is QEC eating quantum?
Quantum error correction (QEC) is a hot research topic among quantum computing researchers. This is a short analysis of just how popular QEC is.
peterse.github.io
davidbessis.substack.com/p/the-fall-o... An interesting read, with lots of food for thought. It reminds me of my enthusiasm for "mathematical clean-up work", i.e. going back to the foundations of a topic, making the constants sharper, proofs nicer (and more modern), and the like.
The fall of the theorem economy
How AI could destroy mathematics and barely touch it
davidbessis.substack.com
Good evening Oxford, ready for QCTiP! Excited to catch up with cool people and cool research 😄
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!
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
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...
arxiv.org
🎆 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
Thanks @markwilde.bsky.social for illuminating our learning & algorithms seminar with your views on #QBM s, we had a blast :)
I was invited by @eliesgf.bsky.social to give an online seminar to @jenseisert.bsky.social's q. machine learning group. I spoke about "Fundamentals of q. Boltzmann machine learning w/ visible & hidden units" arxiv.org/abs/2512.19819. Slides from my talk available here: zenodo.org/records/1889...
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?
In my utopian vision of the future, instead of offloading all the pointless, annoying work tasks (like reports that none one will read and needlessly opaque forms) to robots, we restructure work and society so that the pointless tasks don't happen at all.
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.
Woooooow I wasn't aware @terriblemapshq.bsky.social is on bluesky! This alone made my day. Let's roll!
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
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...
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...
scirate.com
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
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...
arxiv.org
Observations from #QTML25: when compared to previous editions, memes-on-slides have been almost entirely replaced by emojis-on-slides 🤔
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!
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.
lanl.jobs
(I/III) We're excited to announce a new tenure track opening! The position is called 'quantum informatics' and is affiliated with our QUICK group within the CS+AI division at @jku.at 🇦🇹. Application deadline is November 30th, 2025: www.jku.at/en/the-jku/w...
An academic fact whose importance cannot—absolutely cannot—be overstated: Whoever creates the Overleaf project gets to pick the macros.tex
PhD position on quantum computing at at ETH Zurich, advised by Dominik Hangleiter and co-advised by Renato Renner www.quantiki.org/position/phd...
The German saying goes "wer schön sein will muss leiden". My German is not so good, so I understood "wer schön sein will muss *nach* Leiden". Off to spend a couple months @unileiden.bsky.social, to start new projects on #QuantumMachineLearning
Just an observation: my experience flying low-cost in Europe has been approximately constant for 10 years. A similar statement is true about trains and buses. The same is *not* true about cars.