Dissipative Realization of a Quantum Distance-Based Classifier Using Open Quantum Walks
Pedro Linck Maciel, Graeme Pleasance, Francesco Petruccione, Nadja K. Bernardes
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.
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.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata · Chemical and Physical Properties of Materials