xLSTM for PINNs that learn PDEs: arxiv.org/abs/2511.12512
βAcross four PDEs under matched size and budget, xLSTM-PINN consistently reduces MSE, RMSE, MAE, and MaxAE with markedly narrower error bands.β
βcleaner boundary transitions with attenuated high-frequency ripplesβ
20.11.2025 13:19
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Greatly honoured to be serving for PRX Intelligence with this amazing editorial team! PRXI is a journal by scientists and for scientists. We will publish high-impact AI & ML research that advances the physical sciences. Please send us your physics related AI research!
www.aps.org/about/news/2...
19.11.2025 18:49
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Gorgeous red and green aurorae over a lighted city below.
Gorgeous picture of red and green aurorae over a lighted city below.
I am on my way home to Toronto and the aurorae are absolutely phenomenal.
If you are anywhere in the northern half of the continent, get outside and look up! Or better still, put your camera on a 10 second exposure and point it up.
12.11.2025 02:44
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Adiabatic transport of neural network quantum states
Variational methods have offered controllable and powerful tools for capturing many-body quantum physics for decades. The recent introduction of expressive neural network quantum states has enabled th...
New #preprint with Alev Orfi, Dries Sels and @carrasqu.bsky.social
It is about approximating correlated quantum excited states. We adapt some powerful linear algebra to extract many states at once. The background physics is neat -- we adiabatically connect known wavefunctions to interacting ones.
20.10.2025 17:41
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Kyle Cranmer and Rich Sutton at the Heidelberg Laureate Forum, September 16, 2025.
Is scale all you need? Or is there still a role for incorporating domain knowledge and inductive bias? While I was in Heidelberg, I took some time to write a short essay on this question called "The Bittersweet Lesson".
theoryandpractice.org/2025/09/The%... #HLF25
22.09.2025 15:49
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Thanks Manuel! It would have been impossible without you as part of the team
08.07.2025 14:52
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Last week, we published a paper that really excites me:
"Circuit compression for 2D quantum dynamics"
Using Pauli propagation, we (Matteo) were able to compress Trotter circuits for systems up to 30x30 with depth reductions of x2 to x13.
Link: arxiv.org/abs/2507.01883
07.07.2025 10:38
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Grateful to APS for accommodating the schedule change.
But since they wonβt be emailing all attendees to promote my talk (as they did for Microsoft), Iβd really appreciate help spreading the word.
π’ βCan we build a topological qubit in 2025?β
π Monday, 14:06 | Topological Superconductors: Theory
14.03.2025 08:53
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CSQM 2025
Understanding entangled quantum systems with many interacting particles is a major challenge in physics, crucial for discovering new phases of matter, designing advanced materials, and driving quantum...
I am thrilled to announce the "Challenges in Simulating Quantum Matter" workshop at ETH ZΓΌrich, 16-18 June 2025 π Now accepting applications for talks and posters: csqm.org
@ethzurich.bsky.social
#NeuralQuantumStates #QuantumComputing #TensorNetworks #quantum
15.02.2025 13:57
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This figure shows how PANDAS improves many-shot jailbreaking. The left side portrays a typical conversation, showcasing the Positive Affirmation phrases and Negative Demonstration phrases. The right side shows how the distribution of topics are adaptively changed.
We introduce PANDASπΌ, a jailbreaking method that exploits LLMs' long-context capabilities!
PANDAS significantly outperforms many-short jailbreaking by the introduction of:
β
Positive affirmations
βNegative demonstrations
π―Adaptive demo sampling
Paper: arxiv.org/abs/2502.01925
07.02.2025 17:08
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Alrighty! I'm spending a few days at @ethzurich.bsky.social. Looking forward towards the discussions with @carrasqu.bsky.social and his group!
09.12.2024 09:15
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I'm making a list of AI for Science researchers on bluesky β let me know if I missed you / if you'd like to join!
go.bsky.app/AcP9Lix
10.11.2024 00:11
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AI Could Make Quantum Computing Obsolete, Nobel Prize Winner Says
YouTube video by Sabine Hossenfelder
youtu.be/MO6ZvA7U3F0
27.11.2024 03:50
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Max Planck Institute for the Physics of Complex Systems Machine Learning for Quantum Matter
We are organizing a workshop on ML for quantum matter in Dresden in February 2025. The application deadline is Nov. 30, apply! www.pks.mpg.de/mlqmat25
27.11.2024 12:44
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