Non-Linear Geometric Field Theory for Quantum Adaptive Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the potential of non-linear geometric field theory as a foundation for quantum adaptive computation. The core claim is to develop a novel quantum computing framework predicated on this theory, specifically designed to simulate complex physical processes and achieve self-adaptive computational capabilities. We introduce a quantum algorithm framework centered around the inherent properties of non-linear geometric field theory, demonstrating its capacity to reduce computational complexity through adaptive strategies. This work addresses the limitations of conventional quantum algorithms by leveraging the theory's unique characteristics, offering a new approach to quantum simulation and adaptive computation.

DOI: 10.5281/zenodo.22292502

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