Distance-Encoded Quantum Kernels for Spatial Estimation: Design Criteria and NISQ Hardware Characterization

Ordinary kriging relies on a positive semi-definite (PSD) covariance matrix derived from a fitted variogram model. This study investigates whether quantum kernel matrices can replace variogram-based covariance functions in the kriging system — and establishes the circuit design criteria under which such replacement is mathematically valid and practically useful.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-22
DOI
https://doi.org/10.5281/zenodo.21461417
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Distance-Encoded Quantum Kernels for Spatial Estimation: Design Criteria and NISQ Hardware Characterization

Kaan Erarslan
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Distance-Encoded Quantum Kernels for Spatial Estimation: Design Criteria and NISQ Hardware Characterization

Kaan Erarslan
article en

Abstract

Ordinary kriging relies on a positive semi-definite (PSD) covariance matrix derived from a fitted variogram model. This study investigates whether quantum kernel matrices can replace variogram-based covariance functions in the kriging system — and establishes the circuit design criteria under which such replacement is mathematically valid and practically useful.

Zenodo (CERN European Organization for Nuclear Research)
Kütahya Dumlupınar Üniversitesi (TR)
Openalex Percentile: Top 7%
Quantum Computing Algorithms and Architecture
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