Aritra Bal
Information
Current Position: Postdoc, Institute of Experimental Particle Physics (ETP)
Room: CS 30.23 / R. 8-15
Email: aritra.bal#kit.edu
Website: Aritra Bal, ETP
PhD topic
Thesis: Classical and Quantum Machine Learning for Anomaly Detection at the CMS Experiment and Beyond
Supervisor: Alexander-von-Humboldt-Prof. Dr. Markus Klute
Second supervisor: Dr. Benedikt Maier
Starting Date: 01 August 2022
Date of Defence: 11 July 2025
Publications
- QINNs: Quantum-Informed Neural Networks, (arXiv) (in peer review)
- One particle - one qubit: Particle physics data encoding for quantum machine learning, published in Physical Review D
- Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at √s=13 TeV, published in Reports on Progress in Physics
- Machine learning techniques for model-independent searches in dijet final states, CMS-NOTE-2023-013 (to be published soon)
- Distilling particle knowledge for fast reconstruction at high-energy physics experiments, (arXiv)(published in MLST)
International Conferences
- ML4Jets 2025, Caltech One particle - one qubit: Particle physics data encoding for quantum machine learning
- EPS-HEP 2025, Marseille One particle - one qubit: Particle physics data encoding for quantum machine learning
- ML4Jets 2024, LPNHE, Paris Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at √s=13 TeV