Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction

2025-03-30 · Saiyam Sakhuja, Shivanshu Siyanwal, Abhishek Tiwari, Britant, Savita Kashyap

Quantum Machine Learning (QML) presents as a revolutionary approach to weather forecasting by using quantum computing to improve predictive modeling capabilities. In this study, we apply QML models, including Quantum Gated Recurrent Units (QGRUs), Quantum Neural Networks (QNNs), Quantum Long Short-Term Memory(QLSTM), Variational Quantum Circuits(VQCs), and Quantum Support Vector Machines(QSVMs), to analyze meteorological time-series data from the ERA5 dataset. Our methodology includes preprocessing meteorological features, implementing QML architectures for both classification and regression tasks. The results demonstrate that QML models can achieve reasonable accuracy in both prediction and classification tasks, particularly in binary classification. However, challenges such as quantum hardware limitations and noise affect scalability and generalization. This research provides insights into the feasibility of QML for weather prediction, paving the way for further exploration of hybrid quantum-classical frameworks to enhance meteorological forecasting.

📄 PDF Abstract BibTeX arXiv:2503.23408

Code (0)

등록된 구현이 없습니다.

Tasks

Binary Classification Classification Prediction Quantum Machine Learning Weather Forecasting

Synthetic weather radar using hybrid quantum-classical machine learning

2021-11-30 · Graham R. Enos, Matthew J. Reagor, Maxwell P. Henderson, Christina Young 외

The availability of high-resolution weather radar images underpins effective forecasting and decision-making. In regions beyond traditional radar coverage, generative models have emerged as an important synthetic capabil…

Benchmarking BIG-bench Machine Learning Decision Making

Quantum-Assisted Support Vector Regression

2021-11-17 · Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders

A popular machine-learning model for regression tasks, including stock-market prediction, weather forecasting and real-estate pricing, is the classical support vector regression (SVR). However, a practically realisable q…

Facial Landmark Detection regression Stock Market Prediction Weather Forecasting

Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM

2026-05-17 · Joseph Strauss, Jyotsna Sharma arxiv

Marine oil spills require rapid detection to mitigate severe ecological and economic damage. While satellite-based Synthetic Aperture Radar (SAR) provides essential all-weather monitoring, analyzing this data remains cha…

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference

2026-03-10 · Yixiong Chen arxiv

Accurate financial volatility forecasting is crucial but challenged by the non-linear, highly correlated nature of market data. Recently, quantum computing has emerged as a promising paradigm for solving complex high-dim…

Exploring Quantum Machine Learning for Weather Forecasting

2025-09-01 · Maria Heloísa F. da Silva, Gleydson F. de Jesus, Christiano M. S. Nascimento, Valéria L. da Silva 외 arxiv

Weather forecasting plays a crucial role in supporting strategic decisions across various sectors, including agriculture, renewable energy production, and disaster management. However, the inherently dynamic and chaotic …

Quantum Machine Learning Weather Forecasting