Quantum Computing Report

Review Evaluates AI and Quantum Computing Paradigms for Adaptive Combinatorial Optimization

A new review paper by Hoong Chuin Lau examines the intersection of AI and quantum computing for combinatorial optimization, categorizing research into three paradigms: AI-for-Quantum Optimization (AI-for-QO), Quantum-for-AI (Q-for-AI), and AI-Quantum Co-Optimization. The study, which analyzed 119 papers, concludes that AI-assisted quantum optimization shows promise, while quantum-assisted AI models are largely unproven. The review emphasizes that scaling quantum optimization is a systems enginee

By Quantum Computing Report

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Review Evaluates AI and Quantum Computing Paradigms for Adaptive Combinatorial Optimization
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