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20222026
most citedA preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms

25 citations · 27 across the 7 of their papers we have counts for

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quant-ph2026

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives

Javier Mancilla, Tomás Tagliani

Across public tabular benchmarks, quantum machine-learning (QML) models usually lose to carefully tuned classical baselines. We argue that this is a structural property of the data…

quant-ph2026

A Mixture-of-Experts Framework for Practical Hybrid-Quantum Models in Credit Card Fraud Detection

Rodrigo Chaves, Kunal Kumar, Bruno Chagas +4

This paper investigates whether hybrid quantum-classical machine learning can deliver practical improvements in financial fraud detection performance for card-based and other payme…