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quant-ph2024
Quantum Annealing based Feature Selection in Machine Learning
Daniel Pranjic, Bharadwaj Chowdary Mummaneni, Christian Tutschku
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature sele…
quant-ph2024★ 1 cited
Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Daniel Pranjić, Florian Knäble, Philipp Kunst +6
Whether in fundamental physics, cybersecurity or finance, the detection of anomalies with machine learning techniques is a highly relevant and active field of research, as it poten…