Work

Digital-analog quantum algorithm for the quantum Fourier transform

Year: 2020

Type: article

Abstract: The authors introduce an efficient digital-analog quantum algorithm to compute the quantum Fourier transform, a subroutine widely employed in several relevant quantum algorithms. The paper shows that, under sensible assumptions about noise sources, the fidelity of the quantum Fourier transformation improves considerably with this approach when compared against digital quantum computing. This suggests that hybrid protocols combining digital and analog quantum computing could be a sensible approach to reach quantum advantage in the Noisy Intermediate-Scale Quantum era.

Source: Physical Review Research

DOI: 10.1103/physrevresearch.2.013012

Authors: Ana Martin, Lucas Lamata, Enrique Solano, Mikel Sanz

Institutions: University of the Basque Country, Universidad de Sevilla, Ikerbasque, Shanghai University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,625