Sebastian Orbell
quantum physicist,machine learning engineer
London, GB
quantum,physics,ai,machine learningMy current work involves developing optimal quantum control software for technology startup Quantum Motion. I recently finished my PhD at the University of Oxford, having submitted my thesis titled "Spin qubits in semiconductor devices: automation of measurement, optimisation, and control". I constructed experiments and established their control by developing machine learning algorithms and quantum physics simulations. Previously, I completed a Masters thesis simulating the cryptochrome radical pair mechanism from which emerges the ability of birds to sense the Earth's magnetic field (Avian Magnetoreception). Outside of this, I have worked on Artificial Intelligence generative projects with Graphcore, CERN, OxAI, and EcoSync.
I am particularly interested in developing visual explanations for the philosophical and existential implications of quantum physics, special relativity, and chaos theory.