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International Journal of Quantum Chemistry

The differentiable manifold model of quantum-chemical reaction networks

Paul G. Mezey

Published Jul 9, 2009• 3 citations
Publisher

Abstract

The methods of general and differential topology (topology ≈︁ “rubber geometry”) are particularly suitable for the quantum-mechanical description of nonrigid molecular systems. The concept of nuclear configuration space 3NR is replaced by a metric space M and subsequently by a topological space (M, TC) where points of nuclear geometries, as fundamental entities, are replaced by open sets. These open sets provide a quantum-mechanical description of molecular structures, reaction mechanisms, and reaction networks. Exploiting the special properties of the metric of M, the topological space (M, TC) can be provided with a differentiable manifold structure. This differentiable manifold is proposed as a common basis for both local and global analysis of reacting molecular systems.

DOI
10.1002/qua.560240815

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The methods of general and differential topology (topology ≈︁ “rubber geometry”) are particularly suitable for the quantum-mechanical description of nonrigid molecular systems. The concept of nuclear configuration space 3NR is replaced by a metric space M and subsequently by a topological space (M, TC) where points of nuclear geometries, as fundamental entities, are replaced by open sets. These open sets provide a quantum-mechanical description of molecular structures, reaction mechanisms, and reaction networks. Exploiting the special properties of the metric of M, the topological space (M, TC) can be provided with a differentiable manifold structure. This differentiable manifold is proposed as a common basis for both local and global analysis of reacting molecular systems.
The concept of a probability manifold M is introduced. The global properties of M inherited from its local structure are then considered. It is shown that a deterministic spin model due to Pitowski falls within this general framework. Finally, we construct a phase-space model for nonrelativistic quantum mechanics. These two models give the same global description as conventional quantum mechanics. However, they also give a local description which is not possible in conventional quantum mechanics.
It is shown that the quantum mechanics is capable of describing processes which have all the aspects of certain chemical reactions. It turns out that a system may change from one configuration to another when a quantum level of the one configuration has the same energy as a quantum level of the other. Among such reactions mention is made and some discussion given of the large classes of molecular rearrangements, and decompositions, including radioactive disintegration. The dependence on pressure and temperature is slightly discussed and it is indicated that the present theory quite explains the necessity of the old "activation hypothesis" of Arrhenius. The old notions should, however, be modified to take into account that it is not sufficient to have at least the "activation energy" but the molecule must be in a particular state to react. Moreover when there are several "activated" states the rate of reaction from different ones may be very different indeed. Insight is gained into the nature of certain types of catalytic action including special wall catalyses. Some features of photochemical reactions are made clear by the theory.
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This paper investigates the integration of Quantum Topology Field Theory (QTFT) with Quantum Chemistry Computational Frameworks to enhance molecular structure prediction and reaction mechanism study. We propose a novel coupling strategy leveraging the unique properties of topological fields to facilitate accurate molecular structure assessment and accelerate computational efficiency. The core mechanism centers on utilizing the parallel processing capabilities of quantum computing to optimize the process of predicting molecular structures, thereby offering a significant advancement over traditional quantum chemistry methods. This work explores the potential of this integrated approach to unlock new insights into chemical reactivity and molecular design. The study demonstrates the feasibility of employing QTFT for predicting specific molecular properties and reaction pathways, ultimately contributing to a more efficient and insightful quantum chemistry approach.
Abstract Our purpose here is to draw attention to an interesting relationship that can be shown to hold between (a) information geometry, and (b) quantum geometry. By ‘information geometry’, we mean the natural geometry associated with families of probability distributions. This is a subject that goes back more than half a century to the pioneering work of Rao (1945), who showed that the Fisher information matrix associated with a parametrised family of probability dis tributions gives rise to a natural Riemannian metric on the parameter space. This then allows one to speak in a precise way of the ‘distance’ between two probability distributions, an idea that turns out to be useful in problems of statistical inference. An extensive literature has thus developed, following this line of enquiry, on applications of differential geometry to statistics (see, e.g., Amari (1985), Barndorff-Nielsen et al. (1986), Murray and Rice (1993)). By ‘quantum geometry’, on the other hand, we mean the geometry of the manifold of states associated with a given quantum mechanical system. In particular, we consider the manifold of ‘pure’ states associated with a given complex Hilbert space. This is the space of ‘rays’ through the origin in the Hilbert space, which has the structure of a complex projective space. It is known that the usual rules of quantum mechanics allow one to construct a natural metric on this space, namely the Fubini-Study metric, the specification of which is equivalent to all the familiar structure associated with ordinary quantum mechanics.