Sebastian Orbell

quantum physicist,machine learning engineer

London, GB

quantum,physics,ai,machine learning

My 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.

Films

In The Atom

DIRECTOR
Scenes

Generative AI latent space sampling experiment, faces

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Generative AI latent space sampling experiment, lakes

DIRECTOR

Fractals (2022)

RESEARCHER

Optimal measurement sequence of a Rabi chevron

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Generative AI latent space sampling experiment, cigar

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