Manuel studied Physics at Germany’s oldest university, the University of Heidelberg. During his Masters program, he has worked as a graduate assistant, diving into the world of near-term quantum computation. He did his Master thesis titled ‘Exploring and Benchmarking Quantum-assisted Neural Networks with Qubit Layers’ in collaboration with the Honda Research Institute Europe. After his M.Sc. degree, he worked on developing a higher-level quantum computing infrastructure for his Professor’s ultra-cold atom experiments. Wanting to further pursue quantum computing and quantum algorithms, Manuel applied as an Intern at Zapata Computing.
Quantum is so beautifully un-intuitive and yet there exist mathematical formulations for quantum systems. It is amazing how we can make nature ‘calculate’ something for us. I want to be on the forefront of the quickly maturing field of quantum computation.
We try to mimic and eventually outperform the learning potential of humans with machine learning algorithms and specifically Artificial Neural Networks. I believe that quantum can be an important constituent in such algorithms and I aim to find out how.