Manuel is a PhD Candidate at EPFL in the group of Prof. Zoë Holmes where he focuses on the numerical simulation of quantum computing algorithms. Together with his collaborators, he studies which properties make quantum circuits easy or hard to simulate classically, and how efficient classical simulability is connected to the barren plateau phenomenon. Manuel develops high-performance quantum simulation software and is the main developer of the "PauliPropagation.jl" library. Before the start of his PhD, Manuel worked as a Quantum Application Scientist at Zapata Computing, where he developed hybrid algorithms utilizing classical and quantum computing resources. He was recently awarded the Google PhD Fellowship in quantum computing, and was a visiting student researcher at the Center for Computational Quantum Physics, Flatiron Institute New York. Currently, Manuel is a student researcher at Google Quantum AI in Santa Barbara, California.

4-part introductory course on quantum generative modelling with step-by-step code examples.
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