Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices

نویسندگان

چکیده

Adding self-loops at each vertex of a graph improves the performance quantum walks algorithms over loopless algorithms. Many works approach to search for single marked vertex. In this article, we experimentally address several problems related walk in hypercube with multiple vertices. We first investigate hypercube. saw that neighbor vertices are also amplified and approximately $1/2$ system energy is concentrated them. show optimal value $l$ not define new $l = (n/N)\cdot k$ Next, use found analyze non-adjacent probability success close $1$. adjacent directly proportional density neighborhood. that, case where neighbors marked, if there least one vertex, increases The results self-loop (n / N) \cdot k $.

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2021

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-030-91702-9_17