Title: Hybrid Quantum-Classical Algorithms for Optimization

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper investigates the potential of hybrid quantum-classical algorithms to address complex optimization problems. We propose a novel framework where classical computations are predominantly executed, utilizing quantum algorithms for specialized tasks that offer significant speedups. The design focuses on creating a synergistic system where the strengths of both paradigms are maximized. The core claim is that this approach offers a pathway to efficiently solve problems currently deemed intractable, leveraging the unique capabilities of quantum computation while maintaining the scalability of classical methods.

DOI: 10.5281/zenodo.22153224

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