Quantum Annealing in Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of integrating quantum annealing principles with quantum algorithms to develop efficient quantum computing solutions. The core concept revolves around a novel algorithm termed "Quantum Annealing Algorithm," which leverages the annealing process to optimize the parameters of quantum algorithms, ultimately enhancing their computational efficiency. This work details the theoretical framework, outlining the mathematical formulation of the algorithm and its key components. We present a methodology for mapping classical optimization problems onto a quantum annealing framework, and discuss strategies for managing the trade-offs between annealing speed and solution quality. The proposed approach offers a potentially transformative method for accelerating quantum computations, particularly for problems exhibiting complex, rugged energy landscapes. The focus remains on the theoretical design and potential benefits, without empirical experimental validation.

DOI: 10.5281/zenodo.22195157

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