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Trapped Ion Quantum Computing Quantum Simulation

Distributed quantum approximate counting algorithm

arXiv
Authors: Huaijing Huang, Daowen Qiu

Year

2025

Paper ID

17501

Status

Preprint

Abstract Read

~2 min

Abstract Words

79

Citations

N/A

Abstract

In this article, we propose a distributed quantum algorithm for solving counting problem using Grover operator and a classical post-processing procedure. We apply the proposed algorithm to estimate inner products and Hamming distances. Simulations are conducted on the Qisikit platform, further demonstrating the effectiveness of our algorithm and its suitability for the NISQ era. Compared to existing counting algorithms, the proposed algorithm has advantages in terms of the number of qubits, circuit depth, and the number of quantum gates.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2025 reference point for readers tracking recent quantum research.
  • In this article, we propose a distributed quantum algorithm for solving counting problem using Grover operator and a classical post-processing procedure.

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