This study proposes a novel physical framework for defining information as a quantized field within quantum superconductivity, introducing the concept of "informanons"—discrete matter waves associated with Cooper pairs in superconductors below their critical temperature. A new wave equation is derived to describe the dynamics of this information field in a temperature-entropy space, establishing a paradigm termed "digital quantum mechanics" distinct from conventional "analog quantum mechanics." This framework reinterprets information flow, challenging traditional probabilistic interpretations of wavefunctions and eliminating wavefunction collapse. An entropic model for quantum memory reveals an inverse-square relationship between memory capacity and stored information, suggesting superconductors enable ultra-high-density storage through quantum information compression. The findings bridge classical information theory and quantum mechanics, offering transformative implications for quantum computing and communication. While theoretical, the framework requires experimental validation to confirm informanon properties and explore applications in quantum systems.
This study proposes a novel physical framework for defining information as a quantized field within quantum superconductivity, introducing the concept of "informanons"—discrete matter waves associated with Cooper pairs in superconductors below their critical temperature. A new wave equation is derived to describe the dynamics of this information field in a temperature-entropy space, establishing a paradigm termed "digital quantum mechanics" distinct from conventional "analog quantum mechanics." This framework reinterprets information flow, challenging traditional probabilistic interpretations of wavefunctions and eliminating wavefunction collapse. An entropic model for quantum memory reveals an inverse-square relationship between memory capacity and stored information, suggesting superconductors enable ultra-high-density storage through quantum information compression. The findings bridge classical information theory and quantum mechanics, offering transformative implications for quantum computing and communication. While theoretical, the framework requires experimental validation to confirm informanon properties and explore applications in quantum systems.
This study proposes a novel physical framework for defining information as a quantized field within quantum superconductivity, introducing the concept of "informanons"—discrete matter waves associated with Cooper pairs in superconductors below their critical temperature. A new wave equation is derived to describe the dynamics of this information field in a temperature-entropy space, establishing a paradigm termed "digital quantum mechanics" distinct from conventional "analog quantum mechanics." This framework reinterprets information flow, challenging traditional probabilistic interpretations of wavefunctions and eliminating wavefunction collapse. An entropic model for quantum memory reveals an inverse-square relationship between memory capacity and stored information, suggesting superconductors enable ultra-high-density storage through quantum information compression. The findings bridge classical information theory and quantum mechanics, offering transformative implications for quantum computing and communication. While theoretical, the framework requires experimental validation to confirm informanon properties and explore applications in quantum systems.
A fundamental physical definition of information remains elusive despite significant advancements in computer science and existing probabilistic models. This paper introduces a novel theoretical framework proposing information as a quantized field within quantum superconductivity, aiming to bridge classical information theory with quantum mechanics. It hypothesizes the existence of informanons, discrete entities theorized as quantized matter waves linked to Cooper pairs in superconductors, serving as physical vehicles for quantum information transfer. A new wave equation is introduced to describe this information field's dynamics in a temperature-entropy space, challenging conventional spatiotemporal reliance and suggesting a new paradigm where temperature and entropy act as fundamental dimensions. Key findings indicate that Cooper pairs mediate discrete information units, leading to a reinterpretation of quantum foundations where the wavefunction depends on entropy and temperature, negating traditional probability amplitude interpretations. An entropic model reveals an inverse-square relationship between memory capacity and stored information, suggesting superconductors enable ultra-high-density storage through quantum information compression, potentially highly useful in IT sector. While theoretical, this research lays the foundation for a new understanding of information physics with profound implications for quantum computing and communication.
This paper introduces a quantized approach to information flow in superconductors, hypothesizing that information is carried by discrete units, "informanons," associated with Cooper pairs. A novel wave equation, derived within a "digital quantum mechanics" framework, describes the dynamics of these informanons in temperature-entropy space, challenging conventional wavefunction interpretations. An entropic model of quantum memory is presented, revealing an inverse relationship between memory capacity and stored information, suggesting wave-like behavior and potential for high-density storage. This model provides a new perspective on quantum information reduction and transmission, offering insights into the fundamental nature of information and its storage in superconducting systems.
This paper proposes the Information Entropy Physical Quantization (IEPQ) framework, a novel approach to understanding the physical nature of information entropy within the context of quantum systems. The core claim of IEPQ is that information entropy can be physically quantifiable and exhibits a fundamental correspondence with quantum states. The proposed mechanism leverages quantum information theory, mapping information entropy to the description of quantum states. Utilizing quantum measurement and entanglement, IEPQ seeks to achieve the physical manipulation and transformation of information entropy. This work delves into the mathematical formalization of this framework, outlining key concepts and potential applications, primarily focusing on the theoretical development rather than experimental validation. The goal is to establish a bridge between information theory and quantum physics, offering a new perspective on the relationship between information and reality at the fundamental level. ---
The transport properties of condensed matter are traditionally described in terms of charge currents, spin currents, and heat currents, each associated with a distinct flux of physical quantities. In this work we introduce a new concept, the internal information flow, denoted by J_I, which quantifies the rate of change of quantum information residing within a material system. Unlike conventional currents, J_I is not directly associated with a conserved charge or energy but rather with the redistribution of correlations and entanglement among the degrees of freedom. We formulate J_I in a rigorous operator framework, show that it obeys continuity-like equations, and illustrate its distinct physical consequences through several model systems. We further discuss possible measurement schemes based on quantum tomography and weak measurement techniques, and highlight the potential of internal information flow to bridge quantum information science and materials physics. The theoretical framework presented here opens a new avenue for exploring quantum thermodynamics, quantum phase transitions, and ultimately paves the way for a deeper understanding of the interplay between information and matter.
This paper proposes a novel approach to entropy compression leveraging the unique properties of quantum entanglement. We demonstrate that, through the careful design of entangled states, it is possible to achieve compression rates exceeding those predicted by the classical Shannon limit. The core mechanism relies on encoding information within the quantum state distribution of an entangled state and exploiting the non-classical correlations inherent in entanglement for efficient probability distribution compression. Unlike traditional entropy compression methods which rely on statistical properties of classical information, our approach directly utilizes the correlations provided by entanglement, offering a fundamentally different strategy. We formulate the theoretical framework, outlining the key mathematical concepts and presenting a detailed analysis of the compression process. The central argument is that entanglement allows for a more effective representation of information than is possible with purely classical distributions, leading to a demonstrable advantage in compression. This work challenges the conventional understanding of entropy and compression, suggesting a new paradigm where quantum phenomena can be harnessed to surpass classical limitations. The presented model incorporates the concepts of entropy, entanglement entropy, and quantum state tomography to provide a comprehensive framework for this novel compression technique. The theoretical foundation is built upon the principles of quantum information theory, with a particular focus on the role of entanglement in information processing and storage. ---