AINeutralarXiv – CS AI · 9h ago6/10
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Exploring the non-convexity in machine learning using quantum-inspired optimization
Researchers propose Quantum-Inspired Evolutionary Optimization (QIEO), a novel algorithmic framework for solving non-convex optimization problems common in modern machine learning. Testing across sparse signal recovery and robust regression tasks, QIEO outperforms established methods like ADAM, genetic algorithms, and specialized solvers by leveraging quantum superposition principles to escape local minima.