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Helps students see the bigger picture.
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About Martin
Martin Sevior is an Honorary Professor in the School of Physics, Faculty of Science, at the University of Melbourne. He obtained his PhD from the University of Melbourne in 1985 and has held the position of Associate Professor in the School of Physics since 2000. His research centers on experimental particle physics, utilizing the world's highest intensity and energy particle accelerators. At the KEK laboratory in Japan, he contributes to the Belle II experiment, probing the cause of the universal matter-antimatter asymmetry. At CERN's Large Hadron Collider in Switzerland, his work investigates the origin of mass, recreating conditions from less than a billionth of a second after the Big Bang. Sevior also engages in quantum computing research, focusing on quantum machine learning, quantum error correction, simulations of quantum computers, and noise characterization in quantum systems. He employs software development, large-scale computing, and machine learning for advanced data analysis in these fields.
Sevior's key contributions include leadership in the Belle II Distributed Computing group and participation in the Melbourne Initiative for Quantum Technology. His publications span particle physics and quantum technologies, including 'Magic state injection on IBM quantum processors above the distillation threshold' (2026, Nature Scientific Reports), 'Adversarial robustness guarantees for quantum classifiers' (2026, npj Quantum Information), 'Non-Unitary Quantum Machine Learning' (2025, Physical Review Applied), 'Boosted Ensembles of Qubit and Continuous Variable Quantum Classifiers' (2023, Advanced Quantum Technologies), 'Quantum Support Vector Machines for Continuum Suppression in B Decays' (2021), and 'Precise Measurement of the Ds Lifetime at Belle II' (recent). He has delivered public lectures, such as the July Lectures in Physics at the University of Melbourne, and supervises PhD and master's students in experimental particle physics and related areas. His work bridges high-energy physics experiments with emerging quantum technologies, advancing both fundamental understanding and computational methodologies.
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