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Chemical Hidden Variable Theory

Jincheng Zhang

Published Aug 21, 2026• 0 citations
Publisher

Abstract

This paper introduces the Chemical Hidden Variable Theory (CHVT), a novel approach to theoretical chemistry predicated on the belief that existing chemical theories fundamentally lack crucial variables. Drawing an analogy with the historical search for hidden variables in quantum mechanics, CHVT posits the existence of underlying, unobserved chemical variables that dictate the behavior of chemical systems. The core objective of CHVT is to identify and model these "Hidden Chemical Variables" (HCVs) to potentially revolutionize our understanding of chemical phenomena. This paper outlines the fundamental concepts, proposed methodologies, and potential implications of CHVT, focusing on the identification and mathematical representation of HCVs. The theory relies on a revised understanding of probabilistic descriptions in chemistry, suggesting that observed probabilities are not inherent but rather results of the influence of these hidden variables. The central argument is that a more complete description of chemical systems requires acknowledging and incorporating these HCVs, leading to more accurate predictions and a deeper understanding of chemical reactions and properties. The exploration of HCVs promises a shift from purely probabilistic models to a more deterministic, yet fundamentally quantum-influenced, framework for chemical theory. ---

DOI
10.5281/zenodo.22038754

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Journal of Mathematical Physics•Feb 1, 1970•120 citations
This paper introduces the Chemical Hidden Variable Theory (CHVT), a novel approach to theoretical chemistry predicated on the belief that existing chemical theories fundamentally lack crucial variables. Drawing an analogy with the historical search for hidden variables in quantum mechanics, CHVT posits the existence of underlying, unobserved chemical variables that dictate the behavior of chemical systems. The core objective of CHVT is to identify and model these "Hidden Chemical Variables" (HCVs) to potentially revolutionize our understanding of chemical phenomena. This paper outlines the fundamental concepts, proposed methodologies, and potential implications of CHVT, focusing on the identification and mathematical representation of HCVs. The theory relies on a revised understanding of probabilistic descriptions in chemistry, suggesting that observed probabilities are not inherent but rather results of the influence of these hidden variables. The central argument is that a more complete description of chemical systems requires acknowledging and incorporating these HCVs, leading to more accurate predictions and a deeper understanding of chemical reactions and properties. The exploration of HCVs promises a shift from purely probabilistic models to a more deterministic, yet fundamentally quantum-influenced, framework for chemical theory. ---
The prevailing interpretation of quantum mechanics, often referred to as the Copenhagen interpretation, posits a fundamental disturbance caused by measurement, collapsing the wave function and defining a definite state. This theory, termed the Molecular Reality Reconstruction Theory (MRRT), offers an alternative perspective. It argues that the observed measurement outcome represents a reconstructed reality, rather than a direct reflection of the initial, underlying molecular state. The theory proposes a framework for identifying the true, pre-measurement molecular state, drawing parallels with the quantum measurement problem. We explore the concept of a "hidden variable" associated with each molecule, suggesting that the measured outcome is a projection of this hidden variable onto a specific observable, rather than a fundamental alteration of the molecule itself. This reconstruction process is inherently probabilistic, governed by the underlying quantum mechanical framework. The central tenet of MRRT is that the observed molecular state is a consequence of this reconstruction process, and not a direct manifestation of the molecule's intrinsic properties before measurement. This framework seeks to resolve the inherent paradoxes associated with the collapse of the wave function and provides a new lens through which to understand the relationship between measurement and reality. The theory's foundation rests on the idea that the act of measurement interacts with the molecule to produce the observed result, rather than the molecule directly determining the outcome. Mathematical formalism is presented to illustrate the core concepts and relationships within this theory.
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This paper presents a novel theoretical model for quantum decoherence based on topological hidden-variable field theory. The core claim is to establish a model that elucidates the physical mechanism of quantum decoherence and offers a new theoretical foundation for research into quantum computation's resilience against decoherence. We posit that quantum decoherence can be viewed as an emergent phenomenon arising from interactions mediated by hidden variables within a topological hidden-variable field structure. The model utilizes mathematical tools derived from topological hidden-variable field theory to formulate and analyze the underlying physical processes. We demonstrate how the topological nature of the hidden-variable fields influences the decoherence process, providing a fresh perspective on this fundamental challenge in quantum information science. The model aims to bridge the gap between quantum mechanics and topological physics, potentially leading to innovative strategies for mitigating decoherence in quantum computing systems. Key parameters and variables are defined within the model, and the theoretical framework is presented with a focus on providing a conceptual understanding of the decoherence mechanism.
The Molecular Possibility Collapse Theory (MPCT) proposes a novel framework for understanding chemical reaction pathways and structural formation. It draws an analogy with quantum measurement, suggesting that molecules initially exist within a vast 'possibility space' of potential configurations. As a system evolves, driven by thermodynamic forces and energetic considerations, this possibility space undergoes a 'collapse' towards a single, stable structure. This collapse isn't a random event, but rather a directed process governed by the minimization of energy and the maximization of stability. The theory emphasizes the role of potential energy surfaces (PES) and the concept of 'collapse points' – specific regions within the PES where the probability of structural formation becomes overwhelmingly dominant. The core principle is that the observed structure is not simply the lowest energy state, but the state resulting from the most probable collapse of the initial possibility space. This theory offers a potentially unifying explanation for seemingly disparate phenomena in chemical kinetics, thermodynamics, and molecular recognition. The theoretical framework presented here outlines the key postulates, mathematical formalisms, and potential applications of MPCT.
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An abstract definition of a general hidden-variables theory is given, and it is shown that such a theory is always possible in the present framework of quantum mechanics and is, in fact, unique in a certain sense. It is noted that the Bohm-Bub hidden-variables example is contained in this theory and an attempt is made to clarify the position of this theory with respect to hidden-variable impossibility proofs. The general definition is used in the consideration of quantum-mechanical ordering and the measurement process.