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Updated: Feb 28, 2026
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Dissipative Realization of a Quantum Distance-Based Classifier Using Open Quantum Walks
Pedro Linck Maciel1, Graeme Pleasance2, Francesco Petruccione2,3
1Departamento de Física, Centro de Ciências Exatas e da Natureza, Universidade Federal de Pernambuco, Recife 50670-901, Brazil.
Entropy (Basel, Switzerland)
|February 27, 2026
Summary
Open quantum walks (OQWs) enable dissipative quantum computation. This study shows a quantum classifier runs efficiently within the OQW model, maintaining finite runtime even in slower environments.
Area of Science:
- Quantum Computing
- Quantum Information Science
- Environmental Interactions in Quantum Systems
Background:
- Open quantum walks (OQWs) are driven by environmental interactions.
- OQWs offer a framework for dissipative quantum computation.
Purpose of the Study:
- To demonstrate the feasibility of a quantum distance-based classifier using the OQW model.
- To analyze the runtime of the classifier within the OQW framework.
Main Methods:
- Implementation of a quantum distance-based classifier.
- Utilizing the open quantum walk computation model.
- Analysis of expected runtime in varying regimes.
Main Results:
- Successful demonstration of the quantum classifier within the OQW model.
- Expected runtime remains finite, even in slower OQW dynamics.
Conclusions:
- The OQW model is a viable platform for implementing quantum classifiers.
- The proposed classifier exhibits robust performance with finite expected runtime.
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