[beware, Tweet contains book placement] What happens if you combine the best experts in the field with hard-working and ambitious students? You get a Book. We’re excited to present “Modern applications of machine learning in quantum sciences”! arxiv.org/abs/2204.04198

Today Physical Review Research (journals.aps.org/prresearch/abs…), designing quantum many-body matter with conditional generative adversarial networks, together with Rouven Koch. @AaltoResearch

Designing quantum many-body matter with conditional generative adversarial networks, Rouven Koch and Jose L. Lado #networks Jose Lado @AaltoResearch Rouven Koch #condensedmatter #quantum go.aps.org/3BQodBY

Today arXiv.org (arxiv.org/abs/2304.10852), adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain, together with Rouven Koch, David van Driel, Alberto Bordin and Eliska Greplova. @AaltoResearch TU Delft

Today Physical Review Applied (journals.aps.org/prapplied/abst…), Hamiltonian inference from dynamical excitations in confined quantum magnets, together with Netta Karjalainen, Zina Lippo, Guangze Chen, Rouven Koch and Adolfo O. Fumega. Aalto Techsperts University of Helsinki Chalmers University of Technology

Today arXiv.org (arxiv.org/abs/2308.11400), Hamiltonian learning with real-space impurity tomography in topological moire superconductors, together with Maryam Khosravian and Rouven Koch. Aalto Techsperts

Published Physical Review Applied (journals.aps.org/prapplied/abst…), adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain, together with Rouven Koch, David van Driel, Alberto Bordin, and Eliska Greplova. TU Delft Aalto Techsperts

🥳QMAI paper day🥳In this awesome collaboration with Correlated Quantum Materials and QuTech we learn Hamiltonians of complex topological systems using conditional generative models. Now in Physical Review Applied Congratulations Rouven Koch!! journals.aps.org/prapplied/abst…

Today JPhys Materials (iopscience.iop.org/article/10.108…), Hamiltonian learning with real-space impurity tomography in topological moiré superconductors, together with Maryam Khosravian and Rouven Koch. Aalto Techsperts

Super looking forward to kick off the AI+condmat session at #DPG2024 tomorrow. More importantly, don’t miss talks by my collaborators Rouven Koch Correlated Quantum Materials (Kitaev+ML) and Lukas Splitthoff (PTs in SSH) QuTech. Stop by to say hi and talk physics while I’m in Berlin 🤩

Great first day in the AI+condmat session at #dpg2024

Ph.D. position in machine learning for quantum materials at Aalto. Project "Hamiltonian learning from dynamical tip-enhanced optical spectroscopy" within the Quantum Doctoral programme. Deadline April 24th. aalto.fi/en/doctoral-ed…

Check out our new work on automated tuning of minimal Kitaev chains by combining theory, ML, and experiments! I had a lot of fun in this collaboration and I'm super happy about the results :)

It will definitely take some time to realise.. thanks for everyone being part of my Ph.D. journey! Looking forward for what comes next 🚀