About
I am a Quantum Machine Learning (QML) enthusiast and an ELLIS PhD student at Jens Eisert's group in Berlin. I obtained a Google PhD Fellowship for Quantum Computing on October 2023. I completed a MSc in Physics at the Freie Universität Berlin in 2021, during which I already worked with Jens Eisert and the group. I work to develop the theory of Parametrized Quantum Circuits (PQCs) as quantum learning models, mostly for supervised learning with classical data. If you want to hear about them, I’m always up for a chat! I have half-a-leg at the Fraunhofer Heinrich-Hertz Institut in Berlin, where I wonder about eXplainable Artificial Intelligence (XAI), and the other half at Vedran Dunjko's group in Leiden, where I’ll be spending some months in the coming years.
Before starting the PhD, I gathered some experience in research with a Master’s thesis on generalization bounds for PQCs, and a Bachelor’s thesis introducing the framework of data re-uploading for QML. I also spent a summer in 2021 working with Maria Schuld as a research resident in Xanadu Inc., we did some exploration in exploiting the Fourier picture of re-uploading for quantum kernels.
Apart from my research I contribute to science communication as a volunteer assistant for the insideQuantum podcast, managing communications and scheduling the intervew guests. I have contributed to open-source software by writing documentation and fixing bugs on the PennyLane webpage. I’m an avid city-walker and reader (mostly English and American fiction from the last 200 years), a big boardgame fan, and an easy target for nerd-snipes and mathy riddles.
For more information, here’s my CV, my Google Scholar, and my email :)
Ah! And you can of course also find me on Twitter, as @EliesMiquel.
