Biography

Manuel Rudolph is a Ph.D. student at EPFL in the group of Prof. Zoë Holmes. He works on quantum algorithms for near- to mid-term quantum devices, focusing on numerical methods for simulating quantum systems and quantum machine learning approaches. Manuel is the main developer of the LOWESA algorithm -- a classical surrogate algorithm for simulating expectation values -- and pushes Pauli propagation methods in general.  Previously, he worked as a Quantum Application Scientist at Zapata Computing, where he developed hybrid algorithms utilizing classical and quantum computing resources. Among other software projects, he also developed the Python visualization library orqviz.