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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
Unlocking Quantum Optimization: A Use Case Study on NISQ Systems
Andreas Sturm, Bharadwaj Mummaneni, Leon Rullkötter
The major advances in quantum computing over the last few decades have sparked great interest in applying it to solve the most challenging computational problems in a wide variety…