Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets
Kathleen E. Hamilton, Travis S. Humble

TL;DR
This paper introduces the minor set cover (MSC) concept to simplify quantum annealing embeddings, establishing MSCs for complete bipartite hardware graphs and identifying the largest clique minors.
Contribution
The paper defines the MSC for known graphs and determines the MSC for complete bipartite graphs used in quantum annealing hardware.
Findings
MSC for $K_{N,N}$ has size N
Largest clique minor of $K_{N,N}$ is $K_{N+1}$
Brief discussion on hardware with faults
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 has a MSC of minors, from which is identified as the largest clique minor of . The case of determining the largest clique minor of hardware with faults is briefly discussed but remains an open question.
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Taxonomy
TopicsVLSI and Analog Circuit Testing · Quantum-Dot Cellular Automata · Quantum Computing Algorithms and Architecture
