Quantum Brain
← Back to papers

Exact quantum search based on analytical multiphase matching for known number of target items and the experimental demonstration on IBM Q

Tan Li, Xiangqun Fu, Yang Wang, Shuo Zhang, Xiang Wang, Yungang Du, Wansu Bao·August 1, 2019
PhysicsMathematics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

In [Phys. Rev. Lett. 113, 210501 (2014)], to achieve the optimal fixed-point quantum search in the case of unknown fraction (denoted by $\lambda$) of target items, the analytical multiphase matching (AMPM) condition has been proposed. In this paper, we find out that the AMPM condition can also be used to design the exact quantum search algorithm in the case of known $\lambda$, and the minimum number of iterations reaches the optimal level of existing exact algorithms. Experiments are performed to demonstrate the proposed algorithm on IBM's quantum computer. In addition, we theoretically find two coincidental phases with equal absolute value in our algorithm based on the AMPM condition and that algorithm based on single-phase matching. Our work confirms the practicability of the AMPM condition in the case of known $\lambda$, and is helpful to understand the mechanism of this condition.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.