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

## TL;DR

The paper shows how a quantum classifier can be implemented using open quantum walks, which are influenced by environmental interactions.

## Contribution

The novel contribution is demonstrating the feasibility of a quantum distance-based classifier within the open quantum walk model.

## Key findings

- The quantum distance-based classifier can be implemented using open quantum walks.
- The classifier's expected runtime remains finite even in slower regimes.

## 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.