Quantum Spin Field Adaptive Topology Optimization

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum spin field adaptive topology optimization method, aiming to enhance quantum information processing efficiency. Traditional topology optimization techniques are limited by classical computational constraints. This work leverages the unique properties of quantum spin fields to propose a fundamentally different approach, enabling precise control and manipulation of quantum states. The core mechanism centers on dynamically adjusting the topology of a quantum system to achieve desired outcomes. We present a theoretical framework and initial experimental validation demonstrating the method's potential for improved optimization performance. The research explores the impact of topology on quantum state preservation and information transfer.

DOI: 10.5281/zenodo.22277241

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