Quantum-Enhanced Adaptive Topology Field Theory Computation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper presents a novel framework for quantum-enhanced adaptive topology field theory computation, aiming to significantly improve the efficiency and accuracy of calculations involving complex topological field theories. The proposed method utilizes quantum computation to accelerate key computational steps, particularly those involving the generation and manipulation of complex field configurations. We introduce a dynamically adaptive algorithm that adjusts computational resources based on the input field's complexity, optimizing resource utilization and minimizing computational cost. The core mechanism relies on quantum-enhanced wave function preparation and measurement, facilitating a more efficient traversal of the field theory space. We demonstrate the effectiveness of this approach through a series of simplified examples, showcasing substantial improvements in both computational speed and accuracy compared to traditional methods. The resulting framework holds promise for tackling challenging topological field theory problems in diverse areas of physics and mathematics.

DOI: 10.5281/zenodo.22267576

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