A coordinate-based minor-embedding method for complete bipartite graphs on Pegasus is claimed to be far faster than Minorminer and to avoid long chains, but the zero-long-chain claim is incompatible with the 15-coupler degree limit for 120x120 graphs.
Minor-embedding in adiabatic quantum computation: II. Minor-universal graph design
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abstract
In [Choi08], we introduced the notion of minor-embedding in adiabatic quantum optimization. A minor-embedding of a graph G in a quantum hardware graph U is a subgraph of U such that G can be obtained from it by contracting edges. In this paper, we describe the intertwined adiabatic quantum architecture design problem, which is to construct a hardware graph U that satisfies all known physical constraints and, at the same time, permits an efficient minor-embedding algorithm. We illustrate an optimal complete-graph-minor hardware graph. Given a family F of graphs, a (host) graph U is called F-minor-universal if for each graph G in F, U contains a minor-embedding of G. The problem for designing a F-minor-universal hardware graph U_{sparse} in which F consists of a family of sparse graphs (e.g., bounded degree graphs) is open.
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2025 1verdicts
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Optimized Quantum Embedding: A Universal Minor-Embedding Framework for Large Complete Bipartite Graph
A coordinate-based minor-embedding method for complete bipartite graphs on Pegasus is claimed to be far faster than Minorminer and to avoid long chains, but the zero-long-chain claim is incompatible with the 15-coupler degree limit for 120x120 graphs.