Quantum Computing-Based Feature Selection for Machine Learning

This whitepaper explores innovative approaches to feature selection in high-dimensional datasets using quantum computing. It addresses the challenges of classical methods and demonstrates applications in malicious software detection and Parkinson’s disease detection. The authors, Rohit Kumar Patel and Dr. Revendranath T, provide insights into optimization problem formulation, classical and quantum approaches, and performance benchmarking against traditional techniques.