Rouven Koch

Physics Ph.D. @ Aalto University, Finland

[Tomza Group on Quantum Molecular Systems @QuantMol]

📚 Our book "Machine Learning in Quantum Sciences" — a guide to the AI revolution in quantum physics — is coming soon! 🚀
🤖 This unique collaboration was led by the incredible Prof. Anna Dawid @MolecularRobot, with insights from top experts in ML & AI in physics. 🔬
Stay tuned!

[Ania Dawid @MolecularRobot]

[beware, Tweet contains PhD and postdoc openings]

Are you interested in research at the intersection of (interpretable) ML and quantum sciences? How about working with me in Leiden @LIACS? :)

https://t.co/GUrljQ3qxv
https://t.co/zj8jnBbi2S

[Rouven Koch @koch_rouven]

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

[Correlated Quantum Materials @CQM_Aalto]

Congratulations to Rouven Koch (@koch_rouven), Ph.D. researcher @CQM_Aalto, for a wonderful Ph.D. defense. It was great having Prof. Daniele Passerone acting as the opponent.

[Rouven Koch @koch_rouven]

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 :)

[Jose Lado @JLado_Phys]

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.
https://t.co/mMat0s3cvX

[Rouven Koch @koch_rouven]

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

[Jose Lado @JLado_Phys]

Today @JPhysMaterials (https://t.co/qT6ADz9e2z), Hamiltonian learning with real-space impurity tomography in topological moiré superconductors, together with Maryam Khosravian and Rouven Koch.
@AaltoTechsperts

[Jose Lado @JLado_Phys]

Published @PhysRevApplied (https://t.co/KZugMMuiLS), adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain, together with Rouven Koch, David van Driel, Alberto Bordin, and Eliska Greplova. @tudelft @AaltoTechsperts

[Jose Lado @JLado_Phys]

Today @PhysRevApplied (https://t.co/6cN5c3ikD6), Hamiltonian inference from dynamical excitations in confined quantum magnets, together with Netta Karjalainen, Zina Lippo, Guangze Chen, Rouven Koch and Adolfo O. Fumega. @AaltoTechsperts @helsinkiuni @chalmersuniv

[Jose Lado @JLado_Phys]

Today @arxiv (https://t.co/a6hMabpwZB), Hamiltonian learning with real-space impurity tomography in topological moire superconductors, together with Maryam Khosravian and Rouven Koch. @AaltoTechsperts

[Jose Lado @JLado_Phys]

Today @arxiv (https://t.co/W84xE0ptQr), adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain, together with Rouven Koch, David van Driel, Alberto Bordin and Eliska Greplova.
@AaltoResearch @tudelft

[Jose Lado @JLado_Phys]

Today @PhysRevResearch (https://t.co/IAf9zyXuuF), designing quantum many-body matter with conditional generative adversarial networks, together with Rouven Koch. @AaltoResearch

[Ania Dawid @MolecularRobot]

[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”!

https://t.co/2t06ZgOOcG