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Geometric Emergence of Quantum Behavior: MPCT Analysis from Classical Trajectories

lichao

Published Jan 14, 2026• 0 citations
Publisher

Abstract

This paper presents a novel approach to understanding quantum phenomenathrough geometric analysis of classical-like trajectories. We introduce the MultiPhase Coupling Transform (MPCT) method, which extracts quantum informationfrom complex dynamical trajectories without presupposing quantum mechanicalformalism. Through numerical simulations, we demonstrate that discrete quantumnumbers emerge naturally from topological phase conditions (2π⟨r⟩ = nλ), withexperimental accuracy better than 2%. The action variable shows clearer quantization than energy, suggesting action may be a more fundamental quantum quantity.Our results indicate that quantization may have purely geometric-topological origins, independent of specific dynamical equations. The MPCT method providesa new tool for extracting quantum information from trajectory data and offers acomplementary perspective on the emergence of quantum behavior.Keywords: Quantum emergence, geometric quantization, trajectory analysis,MPCT transform, topological quantum numbers

DOI
10.5281/zenodo.18245645

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Abstract When subject to measurements, quantum systems evolve along stochastic quantum trajectories that can be naturally equipped with a geometric phase observable via a post-selection in a final projective measurement. When post-selecting the trajectories to form a close loop, the geometric phase undergoes a topological transition driven by the measurement strength. Here, we study the geometric phase of a subset of self-closing trajectories induced by a continuous Gaussian measurement of a single qubit system. We utilize a stochastic path integral that enables the analysis of rare self-closing events using action methods and develop the formalism to incorporate the measurement-induced geometric phase therein. We show that the geometric phase of the most likely trajectories undergoes a topological transition for self-closing trajectories as a function of the measurement strength parameter. Moreover, the inclusion of Gaussian corrections in the vicinity of the most probable self-closing trajectory quantitatively changes the transition point in agreement with results from numerical simulations of the full set of quantum trajectories.
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This paper presents a novel geometric quantum field theory (GQFT) framework for analyzing quantum field theories within condensed matter systems. We introduce a new approach that explicitly incorporates geometric constraints and topological properties, aiming to provide a deeper understanding of emergent phenomena observed in these systems. The core of this work involves extending standard field theory techniques to accommodate these geometric elements, thereby offering a fundamentally different perspective on the behavior of quantum fields within condensed matter. We detail the key mathematical components and demonstrate the framework's ability to successfully model a range of complex quantum phenomena, including the emergence of quantized vortices and topological phase transitions. The resulting theory provides a robust and mathematically sound tool for investigating the intricate interplay between quantum mechanics and geometric structures in condensed matter physics. This research will significantly advance the field by offering a more intuitive and powerful method for tackling problems previously intractable with traditional approaches.