Quantum Interference, Graphs, Walks, and Polynomials

TL;DR

This paper investigates quantum interference in molecular conductance using graph theory, deriving conditions for interference based on walk lengths and polynomial expansions of the Green's function, with progress on understanding the underlying coefficients.

Contribution

It introduces a finite series expansion of the Green's function for electron transmission based on graph theory and explores conditions for quantum interference in molecular systems.

Findings

Odd-length walks contribute to conductivity in molecules.

Quantum interference occurs when even-length walks are absent.

Cancellation of walk contributions can lead to interference effects.

Abstract

In this paper, we explore quantum interference in molecular conductance from the point of view of graph theory and walks on lattices. By virtue of the Cayley-Hamilton theorem for characteristic polynomials and the Coulson-Rushbrooke pairing theorem for alternant hydrocarbons, it is possible to derive a finite series expansion of the Green's function for electron transmission in terms of the odd powers of the vertex adjacency matrix or H{\"u}ckel matrix. This means that only odd-length walks on a molecular graph contribute to the conductivity through a molecule. Thus, if there are only even-length walks between two atoms, quantum interference is expected to occur in the electron transport between them. However, even if there are only odd-length walks between two atoms, a situation may come about where the contributions to the QI of some odd-length walks are canceled by others, leading to another class of quantum interference. For non-alternant hydrocarbons, the finite Green's function expansion may include both even and odd powers. Nevertheless, QI can in some circumstances come about for non-alternants, from the cancellation of odd and even-length walk terms. We report some progress, but not a complete resolution of the problem of understanding the coefficients in the expansion of the Green's function in a power series of the adjacency matrix, these coefficients being behind the cancellations that we have mentioned. And we introduce a perturbation theory for transmission as well as some potentially useful infinite power series expansions of the Green's function.