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Deterministic Search on Complete Bipartite Graphs by Continuous-Time Quantum Walk Cover

Deterministic Search on Complete Bipartite Graphs by Continuous-Time Quantum Walk

By: Honghong Lin and  Yun Shang  
Open Access
|Oct 2024

Abstract

How to design deterministic spatial search algorithms is a difficult but important problem. This paper presents a deterministic search algorithm on complete bipartite graphs with optimal runtime scaling. Our algorithm adopts the simple form of alternating iterations of an oracle and a continuous-time quantum walk operator, which is a generalization of Grover's search algorithm. To address the case of the number of marked vertices being unknown, we construct a quantum counting algorithm based on the spectrum structure of the search operator. This is a non-trivial example of quantum counting for spatial search. To implement the continuous-time quantum walk operator, we perform Hamiltonian simulation in the quantum circuit model and simulate it on the IBM quantum computing platform Qiskit.

DOI: https://doi.org/10.2478/qic-2024-0001 | Journal eISSN: 3106-0544 | Journal ISSN: 1533-7146
Language: English
Page range: 1 - 15
Submitted on: Jun 21, 2024
Accepted on: Sep 10, 2024
Published on: Oct 14, 2024
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Honghong Lin, Yun Shang, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.