About
I am a Quantum Machine Learning enthusiast and an ELLIS PhD student at Jens Eisert's group in Berlin. I work on 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 ready 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.
I completed a MSc in Physics at the Freie Universität Berlin in 2021, during which I already worked with Jens Eisert and the group. For my Master’s thesis I studied the generalization behavior of re-uploading PQCs from a statistical learning theory perspective. For my Physics Bachelor’s thesis I implemented a quantum simulator and ran supervised learning experiments with PQCs on it, eventually leading to the data re-uploading framework. 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.
