Analysis of Lackadaisical Quantum Walks
- URL: http://arxiv.org/abs/2002.11234v3
- Date: Fri, 13 Nov 2020 20:31:15 GMT
- Title: Analysis of Lackadaisical Quantum Walks
- Authors: Peter H{\o}yer and Zhan Yu
- Abstract summary: The lackadaisical quantum walk is a quantum analogue of the lazy random walk obtained by adding a self-loop to each.
We analytically prove that lackadaisical quantum walks can find a unique marked.
vertebrae on any regular locally arc-transitive graph with constant success probability.
quadratically faster than the hitting time.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The lackadaisical quantum walk is a quantum analogue of the lazy random walk
obtained by adding a self-loop to each vertex in the graph. We analytically
prove that lackadaisical quantum walks can find a unique marked vertex on any
regular locally arc-transitive graph with constant success probability
quadratically faster than the hitting time. This result proves several
speculations and numerical findings in previous work, including the conjectures
that the lackadaisical quantum walk finds a unique marked vertex with constant
success probability on the torus, cycle, Johnson graphs, and other classes of
vertex-transitive graphs. Our proof establishes and uses a relationship between
lackadaisical quantum walks and quantum interpolated walks for any locally
arc-transitive graph.
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