Non-interacting multi-particle quantum random walks applied to the graph isomorphism problem for strongly regular graphs
Kenneth Rudinger, John King Gamble, Mark Wellons, Eric Bach, Mark, Friesen, Robert Joynt, S. N. Coppersmith

TL;DR
This paper explores the ability of multi-particle quantum random walks to distinguish strongly regular graphs, revealing that increasing particle number enhances distinguishing power but cannot solve the graph isomorphism problem universally.
Contribution
It demonstrates numerically and analytically that three-particle non-interacting quantum walks can distinguish some SRGs where two-particle walks cannot, and shows limitations of non-interacting walks.
Findings
Three-particle quantum walks have greater distinguishing power than two-particle walks.
No non-interacting walk with fixed particles can distinguish all SRGs.
Increasing particles improves distinguishing power but does not solve the problem universally.
Abstract
We investigate the quantum dynamics of particles on graphs ("quantum random walks"), with the aim of developing quantum algorithms for determining if two graphs are isomorphic (related to each other by a relabeling of vertices). We focus on quantum random walks of multiple non-interacting particles on strongly regular graphs (SRGs), a class of graphs with high symmetry that is known to have pairs of graphs that are hard to distinguish. Previous work has already demonstrated analytically that two-particle non-interacting quantum walks cannot distinguish non-isomorphic SRGs of the same family. Here, we demonstrate numerically that three-particle non-interacting quantum walks have significant, but not universal, distinguishing power for pairs of SRGs, proving a fundamental difference between the distinguishing power of two-particle and three-particle non-interacting walks. We analytically…
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