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Title: Non-Markovian Quantum State Collapse and Reconstruction

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

Quantum state collapse is a fundamental process in quantum mechanics, representing the transition of a quantum system from a superposition of states to a definite state. This transition is often described as a probabilistic event, and a key challenge in harnessing quantum information lies in understanding and controlling this collapse. This paper investigates a novel theoretical framework for analyzing and manipulating quantum state collapse, focusing on the interplay between quantum state evolution and the dynamics of the environment. We propose a dynamic system model incorporating statistical physics principles and quantum information theory, aiming to develop a predictive approach to understanding and controlling collapse processes. The core claim is that a deeper understanding of this process is crucial for realizing novel quantum technologies, particularly those requiring precise state manipulation. This work explores the potential for utilizing the system's dynamics to influence collapse probabilities, offering a potential pathway toward more robust and controllable quantum systems.

DOI
10.5281/zenodo.22324373

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Quantum state collapse is a fundamental process in quantum mechanics, representing the irreversible transition from a superposition of states to a definite state. This paper explores a novel model for this dynamic process, incorporating the observer's influence and the environment, aiming to quantify the 'scale-invariant' nature of collapse. We propose a method to analyze and predict collapse probabilities across various scales, offering a significant advancement beyond traditional collapse models. The core mechanism involves a dynamic state evolution equation that accounts for both the quantum system's inherent properties and external perturbations. This approach offers a pathway towards more robust and predictable quantum computations.
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