The quantum walk search algorithm: factors affecting efficiency

Lovett, Neil B.; Everitt, Matthew; Heath, Robert M.; Kendon, Viv

Abstract

We carry out a numerical study of the quantum walk search algorithm of Shenvi, Kempe and Whaley Shenvi et al. (2003) and the factors that affect its efficiency in finding an individual state from an unsorted set. Previous work has focused purely on the effects of the dimensionality of the dataset to be searched. In the current paper we consider the effects of interpolating between dimensions, the connectivity of the dataset and the possibility of disorder in the underlying substrate: all these factors affect the efficiency of the search algorithm. We show that in addition to the strong dependence on the spatial dimension of the structure to be searched, there are also secondary dependencies on the connectivity and symmetry of the lattice, with greater connectivity providing a more efficient algorithm. We also show that the algorithm can tolerate a non-trivial level of disorder in the underlying substrate.

Citation

Lovett, N. B., Everitt, M., Heath, R. M., & Kendon, V. (2019). The quantum walk search algorithm: factors affecting efficiency. Mathematical Structures in Computer Science, 29(3), 389-429. https://doi.org/10.1017/s0960129518000051

• Journal Article Type: Article
• Online Publication Date: May 16, 2018
• Publication Date: Mar 31, 2019
• Deposit Date: Mar 12, 2019
• Publicly Available Date: Mar 13, 2019
• Journal: Mathematical Structures in Computer Science
• Print ISSN: 0960-1295
• Electronic ISSN: 1469-8072
• Publisher: Cambridge University Press
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 3
• Pages: 389-429
• DOI: https://doi.org/10.1017/s0960129518000051
• Public URL: https://durham-repository.worktribe.com/output/1301284
• Related Public URLs: https://arxiv.org/abs/1110.4366