Dissipative Realization of a Quantum Distance-Based Classifier Using Open Quantum Walks

Entropy 2026 Open access

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Authors: Pedro Maciel, Graeme Pleasance, Francesco Petruccione, Nadja K. Bernardes
DOI: 10.3390/e28020239
Cited by: 1
References: 26

Abstract

Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general framework for implementing dissipative quantum computation. In this work, we demonstrate the feasibility of running the previously proposed quantum distance-based classifier within the open quantum walk computation model, and we show that its expected runtime remains finite even in the slower regime.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Quantum-Dot Cellular Automata Chemical and Physical Properties of Materials

Publication details

Journal / source
Entropy
Publisher
MDPI AG
Volume
28
Issue
2
Pages
239–239
Publication date
19 February 2026
Language
EN