Information and system modelling

Jincheng Zhang

Quantum Dynamics Information Modeling (QDIM) is a novel algorithmic framework designed to refine and analyze existing dynamic systems by leveraging the principles of quantum mechanics. This approach aims to move beyond traditional model-dependent approaches, offering a more accurate and flexible representation of complex system behavior. The core mechanism of QDIM involves constructing a dynamic model informed by quantum dynamics, allowing for precise simulation of system evolution and insightful analysis of underlying processes. This paper details the design and implementation of QDIM, highlighting its potential to significantly enhance the representation and understanding of dynamic systems across various fields.

Ian T. Durham, Dean P. Rickles

Jincheng Zhang

Quantum information evolution models provide a framework for understanding and predicting the behavior of complex quantum systems. This paper introduces a novel quantum information evolution model designed to simulate the evolution of quantum systems and optimize quantum information processing. We propose a method based on quantum entanglement and quantum algorithms to predict the dynamics of quantum systems, establishing an optimization framework. This model offers a significant advancement in the field by providing a robust and efficient approach to analyzing and manipulating quantum information.

Stig Stenholm

Zijing Li, Jiangnan Deng, Bing Hai Zhou +2 more

Under uncertain environment, it is very difficult to measure the entropy of quantum information system, because there is no effective method to model the randomness. First, different from the traditional classic uncertainty, a quantum uncertain model is proposed to simulate a quantum information system under uncertain environment, and to simplify the entropy measurement of quantum information system. Second, different from the classic random seed under uncertain environment which is often called as pseudo-random number, here the quantum random is employed to provide us a true random model for the entropy of quantum information system. Third, the complex interaction and entangling activity of uncertain factors of quantum information is modeled as quantum binary instead of classic binary, which can help us to evaluate the entropy of uncertain environment, to analyze the entropy divergence in quantum information system. This work presents a non-classic risk factor measurement for quantum information system and a helpful entropy measurement.

Ulrich Karrenberg