Isospectral reductions and quantum walks on graphs
Mark Kempton, John Tolbert

TL;DR
This paper introduces a new formula for isospectral reductions of matrices and graphs, generalizes the concept, and explores their application to quantum walks, leading to the construction of graphs with perfect quantum state transfer.
Contribution
It provides a novel formula for isospectral reductions, generalizes the concept, and links reductions to quantum walk transition matrices, enabling new graph constructions.
Findings
New formula for isospectral reduction of matrices and graphs
Generalization of isospectral reductions
Construction of graphs with perfect quantum state transfer
Abstract
We give a new formula for computing the isospectral reduction of a matrix (and graph) down to a submatrix (or subgraph). Using this, we generalize the notion of isospectral reductions. In addition, we give a procedure for constructing a matrix whose isospectral reduction down to a submatrix is given. We also prove that the isospectral reduction completely determines the restriction of the quantum walk transition matrix to a subset. Using these, we construct new families of simple graphs exhibiting perfect quantum state transfer.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
