Quantum computing is my second field. I work mostly on quantum machine learning and on measuring quantum systems efficiently.
Classical shadows estimate many properties of a quantum state from a small number of randomized measurements. With a collaborator, I finalized an encoding protocol, and I’m now building the experiment stack: a uv workspace with a shared data package, Hydra for configuration and MLflow for tracking. I wrote about it in Classical shadows, briefly.
A co-authored working paper on quantum machine learning and privacy. Still in progress.
Before I helped organize BreaQ, I competed in it. Our team placed second nationally, and I led the quantum machine learning work.
Robustness validation for YOLO-family object detectors, which I pitched for EDTH 2026.
Tools: QkQiskit, PlPennyLane, PtPyTorch, HyHydra and MfMLflow.
Working on something in this space? Get in touch.