Prediction of Solar Irradiation Using Quantum Support Vector Machine (QSVM)

About Me

My name is Manas Kumar Singh, and I am a Master's student at IISc Bangalore, specializing in Particle Physics, Mathematics, and Generative AI. My academic journey has led me to explore the fascinating intersection of physics and computational techniques, particularly in quantum computation.

Motivation

I am deeply motivated by the potential of quantum computing to revolutionize various fields, including machine learning and renewable energy. My interest in solar irradiation prediction stems from the urgent need for sustainable energy solutions. Accurate solar energy forecasts can significantly enhance the efficiency of solar energy systems, contributing to a greener future.

I believe that harnessing quantum algorithms like Quantum Support Vector Machines (QSVM) can provide more effective solutions to complex problems that classical methods struggle to solve. This project aims to leverage quantum technology to improve the accuracy of solar irradiation predictions using historical meteorological data.

Skills and Strengths

• Strong Foundation in Physics and Mathematics: My background in particle physics and mathematics equips me with the analytical skills necessary to tackle complex scientific problems.
• Generative AI Expertise: I have a solid understanding of generative models and their applications, which aids in developing innovative solutions in data analysis and prediction tasks.
• Quantum Computing Knowledge: My work often intersects with quantum computation, allowing me to apply quantum principles to machine learning tasks effectively.
• Programming Proficiency: I am proficient in Python and have experience using libraries such as Qiskit, NumPy, and Matplotlib for data analysis and quantum programming.

Project Overview

In this project, I will implement a Quantum Support Vector Machine (QSVM) to predict solar irradiation using meteorological data from the HI-SEAS weather station. By comparing the performance of QSVM with classical SVM, I aim to demonstrate the advantages of quantum algorithms in handling complex, non-linear relationships in data.

Conclusion

I am excited about the possibilities that this project presents and look forward to contributing to advancements in renewable energy forecasting through quantum computing. Please feel free to reach out if you would like to collaborate or discuss ideas related to quantum machine learning or renewable energy solutions.

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