A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature

Abstract This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on traditional hardware to their quantum counterp...

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Principais autores:	Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2025-08-01
Series:	Scientific Reports
Assuntos:	Quantum neural networks Noisy intermediate scale quantum Autoregressive moving average Autoregressive Integrated moving average Seasonal autoregressive integrated moving average
Acceso en liña:	https://doi.org/10.1038/s41598-025-12515-4
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