About

The author

QuSML: Quantum Systems and Machine Learning

Marcin Płodzień

Marcin Płodzień is an Assistant Professor at the Institute of Theoretical Physics, Jagiellonian University in Kraków, working at the intersection of many-body quantum systems, quantum simulation, quantum metrology, quantum computing and machine learning.

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The tutorial

From Haar Random States to Quantum Machine Learning is a hands-on numerical tutorial on randomness, scrambling, and learning in quantum systems. It is written for graduate students and researchers in quantum information, condensed matter, and quantum machine learning, and for anyone comfortable with linear algebra and Python who wants to compute with these ideas. The notebooks accompany the lecture notes Information Scrambling, Quantum Chaos, and Haar-Random States (arXiv:2511.14397).

License and feedback

Code and tutorial material are released under the MIT License. Corrections and suggestions are welcome as issues on GitHub.