From IceCube to IT-Sphere: A Hybrid Quantum-Classical GNN for Banking IT Root Cause Analysis

arXiv:2609.22822 · quant-ph, cs.LG · Submitted 2026-09-19 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-09-19

Updated: 2026-09-19

Comments: 3 pages (cover page + 2-page extended abstract), 4 figures. Accepted for publication in the Proceedings of the 2026 IEEE International Conference on Quantum Computing and Engineering (QCE26), Toronto, ON, Canada, 13-18 September 2026; Poster Track, paper ID POS2-1600. Author's accepted version; IEEE copyright notice on the first page

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 9× in this paper · explained in 2 episodes
• Dimensional Expressivity Analysis — 3× in this paper
• Quantum Graph Neural Network — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Variational Quantum Circuit — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• International Conference on Quantum Computing and Engineering — 1× in this paper
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Random Forest — 1× in this paper

Sources

• Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
• Variational Quantum Algorithms
• Quantum convolutional neural networks for jet images classification
• Dimensional Expressivity Analysis of Parametric Quantum Circuits

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