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基于光的量子启发式聚类

Quantum-inspired clustering with light.

作者信息

Varga Miguel, Bermejo Pablo, Pellicer-Guridi Ruben, Orús Román, Molina-Terriza Gabriel

机构信息

Centro de Física de Materiales, UPV-EHU/CSIC, Paseo Manuel de Lardizabal 5, San Sebastián, E-20018, Spain.

Donostia International Physics Center, Paseo Manuel de Lardizabal 4, San Sebastián, E-20018, Spain.

出版信息

Sci Rep. 2024 Sep 17;14(1):21726. doi: 10.1038/s41598-024-73053-z.

Abstract

This article introduces a novel approach to perform the simulation of a single qubit quantum-inspired algorithm using laser beams. Leveraging the polarization states of photonic qubits, and inspired by variational quantum eigensolvers, we develop a variational quantum-inspired algorithm implementing a clustering procedure following the approach proposed by some of us in SciRep 13, 13284 (2023). A key aspect of our research involves the utilization of non-orthogonal states within the photonic domain, harnessing the potential of polarization schemes to reproduce unitary circuits. By mapping these non-orthogonal states into polarization states, we achieve an efficient and versatile quantum information processing unit which serves as a clustering device for a diverse set of datasets.

摘要

本文介绍了一种使用激光束对单量子比特量子启发算法进行模拟的新方法。利用光子量子比特的偏振态,并受变分量子本征求解器的启发,我们开发了一种变分量子启发算法,该算法按照我们中的一些人在《科学报告》13, 13284 (2023)中提出的方法实现聚类过程。我们研究的一个关键方面涉及在光子领域利用非正交态,利用偏振方案的潜力来重现酉电路。通过将这些非正交态映射到偏振态,我们实现了一个高效且通用的量子信息处理单元,它作为各种数据集的聚类设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/becb/11408508/f751540613f4/41598_2024_73053_Fig1_HTML.jpg

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