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Quantum Optimization Quantum Machine Learning

Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets

arXiv
Authors: Kathleen E. Hamilton, Travis S. Humble

Year

2016

Paper ID

41660

Status

Preprint

Abstract Read

~2 min

Abstract Words

156

Citations

N/A

Abstract

Using quantum annealing to solve an optimization problem requires minor embeddings of a logic graph into a known hardware graph. In an effort to reduce the complexity of the minor embedding problem, we introduce the minor set cover (MSC) of a known graph G: a subset of graph minors which contain any remaining minor of the graph as a subgraph. Any graph that can be embedded into G will be embeddable into a member of the MSC. Focusing on embedding into the hardware graph of commercially available quantum annealers, we establish the MSC for a particular known virtual hardware, which is a complete bipartite graph. We show that the complete bipartite graph KN,N has a MSC of N minors, from which KN+1 is identified as the largest clique minor of KN,N. The case of determining the largest clique minor of hardware with faults is briefly discussed but remains an open question.

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