The topological structure of the space of states

Jincheng Zhang

This paper presents a novel approach to quantum state space representation based on dynamic topology. We introduce a new framework, Dynamic Topology Quantum State Space Structure (DTSSS), which leverages topological properties to model quantum state evolution. This model offers a fundamentally different perspective on quantum mechanics, enabling a deeper understanding of quantum states through their dynamic transformations. The core of DTSSS involves employing topological tools to optimize the structure of quantum states during evolution, thereby facilitating more accurate predictions of quantum state trajectories. This work addresses the limitations of traditional approaches by embracing the inherent dynamism of quantum systems. We demonstrate the effectiveness of DTSSS through a series of illustrative examples, showcasing its potential for advanced quantum simulation and analysis.

Jincheng Zhang

This paper investigates the application of topological space information theory to the analysis of quantum states. Traditional approaches often rely on classical physics models, while topological space information theory offers a novel framework for efficiently characterizing quantum states by leveraging their inherent structure. This work proposes a method for quantifying information density within topological spaces, which will be used to construct tools for understanding the properties of quantum states. The core mechanism involves defining an information density function based on topological space features, and leveraging this to compress information. The new focus is on exploiting the inherent structure of topological spaces to achieve superior analysis compared to existing methods.

J. Dittrich

Yasuaki Tamura

AbstractWe investigate the minimal structural conditions under which relational accessibility organization admits a topological representation within physical description. Starting solely from the existence of distinguishable states and admissible comparison relations, we analyze how accessibility structures arise without introducing prior notions of space, geometry, metric structure, probability, or dynamics.Within the present framework, comparison between states is interpreted as a structural relation governing the accessibility of distinctions. The consistency requirements imposed on admissible comparisons induce preorder-like relational organization on the state space. We show that such comparison-induced accessibility structures admit neighborhood-like representations and may be organized in a form compatible with topological description.Importantly, the present framework does not interpret topology as a primitive geometric entity. Rather, topological structure is treated as a mathematical representation of relational accessibility induced by admissible comparison structure. In this perspective, neighborhood relations characterize accessibility coherence among distinguishable states rather than spatial proximity in a preexisting geometric manifold.We further show that equivalence structures associated with comparison naturally introduce classes of states that are indistinguishable within a given accessibility framework while remaining structurally distinct in the underlying state space. This provides a relational interpretation of local accessibility organization without invoking observer-dependent notions or externally imposed representational scales.The present work does not introduce new mathematical constructions. Instead, it identifies structural conditions under which topological representation becomes compatible with a minimal relational framework of physical description.