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Quantum Machine Learning for Climate Action by ayazkhan05 is a document available to read on EtoBox.

What is Quantum Machine Learning for Climate Action about?

This research report examines the application of Quantum Machine Learning (QML) in predictive modeling for climate change mitigation, emphasizing its potential to enhance accuracy in forecasting extreme weather events and optimizing renewable energy systems. It discusses theoretical foundations, current advancements, challenges, and future directions of QML, highlighting successful case studies from IBM, Google, and Microsoft. Despite significant challenges such as hardware limitations and data requirements

Author

ayazkhan05

Language

EN