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One particle - one qubit: Particle physics data encoding for quantum machine learning

Aritra Bal* and Markus Klute

Benedikt Maier†, Melik Oughton, and Eric Pezone

Michael Spannowsky‡

  • Institute for Particle Physics Phenomenology (IPPP), Durham University, Durham, United Kingdom

  • *Contact author: aritra.bal@kit.edu
  • †Contact author: benedikt.maier@cern.ch
  • ‡Contact author: michael.spannowsky@durham.ac.uk

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics

Julia Gonski et al.

PRX Intelligence 1 021201 (2026)

Quantum artificial intelligence for pattern recognition at high-energy colliders: Tales of Three “Quantums”

Hideki Okawa

Mod. Phys. Lett. A 2630008 (2026)

Anomaly detection with spiking neural networks for LHC physics

Barry M Dillon, Jim Harkin, and Aqib Javed

Mach. Learn.: Sci. Technol. 7 025019 (2026)

Lund Plane to Bloch (LP2B) encoding for object and polarization tagging with quantum jet substructure

Fabrizio Napolitano, Luca Della Penna, Tommaso Tedeschi, and Livio Fanò

Eur. Phys. J. C 86 909 (2026)

Continuous-variable photonic quantum extreme learning machines for fast collider-data selection

Benedikt Maier, Michael Spannowsky, and Simon Williams

EPJ Quantum Technol. 13 70 (2026)

No title available

G. Pavithra, S.S. Ashwini, M. Hamsaveni, and Salma Itagi

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