Materie

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Da‐jun Zhang

Einstein′s Relativity Theory reveals the laws of macro-material world,and Planck and Heisenberg′s Quantum Mechanics reveals those of micro-material world.On the basis of thorough research on these theories,and by breaking through the threshold of wave-particle duality with philosophical thinking,a new material category—supra-micro-material world has been found.Using the Yin-Yang theory in traditional Chinese culture,the author classifies the three material categories into the Yin material world and Yang material world.The Yang material world is a four-dimensional timespace,and is made up of real particles whose speed is slower than the light velocity.The Yin material world is a multi-dimensional timespace (more than four dimensions) and is made up of unreal particles,which possess the wave characteristics only.The unreal particles fill the Yin material world but take no room,and their initial speed is faster than the light velocity.Now,only a part of the Yang material world is known to us,and the whole Yin material world remains unknown.So,in future,the object of scientific study will gradually shift to the Yin material world.

Jincheng Zhang

This paper introduces the Quantum Material Causal Order (QMCO) framework, a novel approach to understanding the complex organization and emergent properties of quantum materials. The central hypothesis posits that quantum materials exhibit a fundamental causal order, analogous to hierarchical structures observed in classical materials, but operating within the unique constraints imposed by quantum mechanics. This order is represented mathematically as [C_q], where C_q denotes the causal structure within a specific quantum material. The framework aims to provide a systematic method for classifying and predicting the behavior of quantum materials based on their inherent causal relationships. This work outlines the core concepts of QMCO, explores the potential implications for materials discovery, and highlights the significant impact this approach could have on achieving breakthroughs in the field of quantum materials research. We propose that understanding and manipulating this causal order is key to unlocking the full potential of these materials for applications in areas such as quantum computing, spintronics, and advanced sensing.

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Jincheng Zhang

This paper explores the potential of quantum simulation for materials science computation. Traditional computational methods often struggle with the inherent quantum nature of materials, leading to inaccuracies in predicting their properties. Quantum simulation offers a promising alternative by directly simulating quantum systems using quantum computers. This work details the core concept, mechanism, and potential impact of leveraging quantum computers to accurately model and predict material behavior. The core claim is that utilizing quantum computers for materials quantum simulation will lead to more precise material property predictions and accelerate materials research. The fundamental mechanism involves constructing a quantum simulator, employing qubits to represent and simulate the quantum system of a material, enabling the calculation of material properties. This research highlights the novel application of quantum simulation in materials science, providing a pathway towards improved material prediction capabilities.

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