Quantum Bayesian Optimization for the Automatic Tuning of Lorenz-96 as a Surrogate Climate Model

This article describes the application of quantum Bayesian optimization to tune a climate model. The use of quantum computing for climate modeling is a cutting-edge area of research. The focus on the Lorenz-96 model suggests a specific application within the broader field of climate science. The title clearly indicates the methodology (quantum Bayesian optimization) and the target application (Lorenz-96 model tuning).

• •Applies quantum computing techniques to climate modeling.
• •Focuses on the Lorenz-96 model, a simplified climate model.
• •Uses Bayesian optimization for model tuning.