Work

Quantum frequency resampling

Year: 2025

Type: article

Abstract: In signal processing, resampling algorithms can modify the number of resources encoding a collection of data points. Downsampling reduces the cost of storage and communication, while upsampling interpolates new data from limited one, e.g., when resizing a digital image. We present a toolset of quantum algorithms to resample data encoded in the probabilities of a quantum register, using the quantum Fourier transform to adjust the number of high-frequency encoding qubits. We discuss advantage over classical resampling algorithms.

Source: npj Quantum Information

DOI: 10.1038/s41534-025-01076-z

Authors: Emanuele Tumbiolo, Simone Roncallo, Chiara Macchiavello, Lorenzo Maccone

Institutions: University of Pavia, Istituto Nazionale di Fisica Nucleare, Sezione di Pavia

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $4,290

Funders: U.S. Department of Energy, National Research Centre, Ministero dell'Università e della Ricerca, Office of Science