No instructor I know (who isn't a miserable asshole) WANTS an adversarial relationship with their students. We just want you to actually learn the material, & understand why it's important to do so. We want you as robustly capable as we can manage, on the other side of our time with you. That's it.

Big congratulations to Vini Hernandes, Tom Spriggs and Saqar Khaleefah on having their paper selected as a 💡spotlight 💡 at the ICLR Workshop on Neural Network Weights as a New Data Modality. Special thank you to Vini for giving such a great presentation of the paper! www.arxiv.org/abs/2503.17140

Big congrats to Rouven Koch, Dmytro Oriekhov, and Thomas Spriggs on their awesome presentations at Machine Learning & Quantum Physics workshop in Obergurgl. Rouven's talk arxiv.org/abs/2405.04596 Dima's talk arxiv.org/abs/2411.17822 Tom's talk arxiv.org/abs/2409.13008

🎉QMAI PAPER DAY🎉 A new method to train neural network quantum states across phase diagram such that their weights form strongly correlated representations, from which phase transitions may be detected. Congratulations to Vinicius, Thomas Spriggs and Saqar 🎉 arxiv.org/abs/2503.17140

🎉🎉🎉 QMAI PAPER DAY🎉🎉🎉 There is a scene in the ‘Hidden Figures’ where the unsurpassable Dorothy Vaughan (portrayed by Octavia Spencer) makes the IBM computer work: www.youtube.com/watch?v=1C5l...

Looking forward to see everyone next week at #APSSummit25 in Anaheim. I am very excited to be part of the 'AI for Many-Body Physics' Invited Session with this amazing line-up of speakers! Our session is on Wednesday, 11.30 - 2.30, see you there :)

New week, new excellent QMAI news: Biggest congratulations to Aram Shojaei on passing her PhD qualifying exam! 🎉 Also big thank you and congratulations to Ana Silva for the excellent co-supervision of Aram's PhD project. Now onwards and upwards with the rest of the PhD 💪 Congrats Aram!

This week Tom and Rouven are representing QMAI at the MPI-PKS "Machine Learning for Quantum Matter" conference. Rouven's poster: arxiv.org/abs/2405.04596 Tom's poster: iopscience.iop.org/article/10.1... Definitely go talk to them if you are in Dresden this week!

🎉🎉🎉QMAI PAPER DAY🎉🎉🎉 Simulating large scale quantum states EXACTLY is impossible on classical computers we have today. Luckily, there are many smart approximative methods! But how much 'quantumness' do they really capture? Read our paper to find out: iopscience.iop.org/article/10.1...

Big thank you to the organizers of #TRNM for having me. I very much enjoyed learning about all the recent progress in #2Dmaterials (as well as amazing Lapland nature 🌲!)

Peter Liljeroth@liljeroth.bsky.social · 2y ago

Thanks for a nice talk from @eliskagreplova.bsky.social in the evening session at #TRNM trnm.aalto.fi

🎉QMAI PAPER DAY🎉 QDsim is now published in SciPost Codebases: scipost.org/SciPostPhysC... If you want to generate charge stability diagram for any device configuration: 'pip install qdsim' + tutorials here qdsim.readthedocs.io/en/latest/ Congratulations Valentina, Charles, and Vini! 🎉

It's the NWO Physics "Veldhoven" week! QMAI members will give TWO talks this year! Dmytro Oriekhov on adding topology to search algorithms and Arash Ahmadi on determining how 'quantum' are quantum circuits. Go see them on Wednesday in the Quantum Physics session!

Last working days of 2024 have been busy but extremely rewarding at QMAI. Joey, Sam, and Saqar super successfully defended their master theses 🎉👏All projects were remarkably successful and I cannot wait to share their cool results with the community. Biggest congratulations!!

🎉🎉🎉QMAI PAPER DAY🎉🎉🎉 In collaboration with Andersen Lab we realised a TUNABLE phase transition in the SSH model. Our work is now published in Physical Review Research journals.aps.org/prresearch/a... Big congratulations to Lukas, Miguel, and Jin 🎉

🎉QMAI PAPER DAY🎉 Our open source automated analysis of activity of biological neurons is now published in Frontiers in Neuroscience! Congratulations Vini, Anouk and Valentina! 🎉 Read here: frontiersin.org/journals/neu... Install here: automea.readthedocs.io/en/latest/

Frontiers | autoMEA: machine learning-based burst detection for multi-electrode array datasets

frontiersin.org

Bye for now Australia. Many thanks for * the sun * the coffee * unbelievable nature * all the brilliant physics I got to learn and discuss Special thanks for Muhammad Usman @UofMelbourne, the whole #QTML2024 organising team, and Andrea Morello UNSW for being such gracious and generous hosts.

🎉 QMAI paper day🎉 In this one we addressed the question of how you can tell whether your real life, real space, noisy quantum experiment has topological modes or not. Big congratulations to Jin, Dima and Lukas. Read out preprint here: arxiv.org/abs/2411.17822

Kicking off the QMAI holiday season with Secret Santa and Home Alone 🧑🎄🎁😊🏠

The QMAI Halloween absolutely ruled 🎃👻❤️

🎉 QMAI PAPER DAY 🎉 Do you know how randomized benchmarking is 'easy to do, hard to understand'? This ends now: arxiv.org/abs/2410.08683 has all the proofs spelled out and code ready to test different methods. Huge congratulations to Ana Silva!

Having spent a significant portion of my science career as an avid fan of Flatiron Institute kombucha tap, I couldn't fathom the transformation in quality of life we'll experience with the QMAI homemade kombucha (mango+green tea). THANK YOU SAQAR!!! #blessed

Grateful to be at ETH Zürich - this time with my own group. Big thank you to Juan Carrasquilla for hosting us 😊

🎉QMAI paper day🎉 Quantum information and condensed matter think about simulatability and accuracy very differently. In this work we hope to lay foundation for a productive dialogue between the two. Congratulations Tom, Arash and Bokai! arxiv.org/abs/2409.13008

🎉QMAI paper day🎉 We built a quantum generative model that can reproduce both spatial and temporal correlations in biological neural network with surprisingly low amount of trainable parameters. Read our preprint here: arxiv.org/abs/2409.09125 #QMAIfall🍂🍁

Exploring Biological Neuronal Correlations with Quantum Generative Models

Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural networks have...

arxiv.org

QMAI is back from holidays, we are rested and excited to share cool news as well as a fresh batch of QMAI results this fall. First things first: Over the summer we entered our double affiliation era ( 🎉 ) and joined QuTech ( 🎉 🎉 🎉 ) in addition to our TU Delft Applied Sciences affiliation.