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Redefining Information: A Quantized Approach to Information Flow in Superconductors

Rajan Shrestha

Published Jul 6, 2025• 0 citations
Publisher

Abstract

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.

DOI
10.36227/techrxiv.174586933.38156985/v3

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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 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 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.
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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. ---
This paper introduces Quantum Entanglement Entropy Information Theory (QEIH), a novel framework for quantifying and analyzing quantum information transmission based on the fundamental role of quantum entanglement. The core claim of QEIH is that entanglement entropy can serve as a new unit of information, surpassing the limitations of traditional information entropy (Shannon entropy) and offering a more precise measure of quantum information. We posit that entangled quantum systems can be viewed as distributed information sources and propose a method for calculating quantum information transmission efficiency and capacity using entanglement entropy. This approach establishes a new information theory framework specifically tailored to the unique properties of quantum mechanics. The key contribution lies in recognizing entanglement not merely as a correlation but as the foundational element driving information processing within quantum systems, ultimately leading to a more accurate and insightful understanding of quantum communication and computation. The presented framework offers a potential pathway to optimizing quantum information transfer and exploring novel information processing paradigms.