量子信息是解释人类意识及其进化的科学基础

IF 2 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2025-04-25 DOI:10.1016/j.biosystems.2025.105467

Thomas Görnitz

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引用次数: 0

摘要

通过广义量子信息概念，对意识及其演化的科学解释已经成为可能。对此至关重要的是对物质和能量的新认识。我们的意识是一种信息结构，它处理我们从身体和环境中吸收的信息。这些信息以物质的属性和光的无质量量子光子的形式传递给我们。物质的特性之一是运动——物理上，动能。爱因斯坦的E = mc2表明运动可以转化为物质。这样，物质就等于它的一种性质。量子理论的数学物理结构为从简单结构构建复杂系统开辟了一个全面的视角。这种构造可以而且应该从最简单的量子结构——量子比特开始。因此，物质和光子最终可以被理解为抽象量子信息的表现。抽象的，也就是仍然没有意义的，绝对的，也就是基于宇宙的，量子信息比特（aqi）为意识、能量和物质提供了共同的基础。这解释了物质、能量和对生物有意义的信息之间的相互影响。

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Quantum information as the scientific basis for the explanation of human consciousness and its evolution

A scientific explanation of consciousness and its evolution has become possible by a generalized quantum information concept. Crucial to this is a new understanding of matter and energy.

Our consciousness, being an information structure, processes the information that we absorb from our bodies and our environment. This information reaches us as properties of material objects and the massless quanta of light, the photons.

One of the properties of matter is motion – physically, kinetic energy. Einstein's E = mc² shows that motion can be converted into matter. Matter is thus equivalent to one of its properties.

The mathematical-physical structure of quantum theory has opened up a comprehensive view of the construction of complex systems from simple structures. Such a construction can and should begin with the simplest quantum structure, a quantum bit. Matter and also photons can thereby ultimately be understood as manifestations of abstract quantum information.

Abstract, i.e. still meaning-free, and absolute, i.e. cosmically based, bits of quantum information, AQIs, provide the common basis for consciousness, energy and matter. This explains the mutual influences between matter, energy and the information that is meaningful for a living being.

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.