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There are several scenarios where the number and location of nodes in a network of meteorological stations may not be sufficient to obtain the information needed. An interesting alternative is the generation of virtual meteorological stations by applying a model that allows the limited information available to be used to estimate meteorological variables in areas where installing a physical station is not feasible. This paper presents a quantum computing-based model for generating virtual nodes in a network of meteorological stations. The properties of the generated virtual nodes are based on the estimation of meteorological variables from scarce or incomplete information from nearby nodes. The preliminary results of the software prototype that was built are presented. The quality of the estimate is assessed by comparing the figures produced by the model with control data from real historical sources.

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A Quantum Approach for the Generation of Virtual Nodes in a Network of Meteorological Stations

  • 会议论文

  • 发表日期：

    2026年

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  • Gabriel Urzaiz,
  • Rubén Domínguez,
  • Lizbeth Hernández,
  • Gerardo Alonzo

摘要

There are several scenarios where the number and location of nodes in a network of meteorological stations may not be sufficient to obtain the information needed. An interesting alternative is the generation of virtual meteorological stations by applying a model that allows the limited information available to be used to estimate meteorological variables in areas where installing a physical station is not feasible. This paper presents a quantum computing-based model for generating virtual nodes in a network of meteorological stations. The properties of the generated virtual nodes are based on the estimation of meteorological variables from scarce or incomplete information from nearby nodes. The preliminary results of the software prototype that was built are presented. The quality of the estimate is assessed by comparing the figures produced by the model with control data from real historical sources.