Exploring Quantum Machine Learning (QML) for Earthquake Prediction
Saloni Dhotre, Karan Doshi, Sneha Satish, Kalpita Wagaskar
Abstract
Quantum computing functions on qubits, different from the classical bits. These qubits follow the properties of quantum physics such as superposition, interference and entanglement. Our aim is to use this quantum technology in the prediction of earthquakes, a natural disaster resulting in a large number of deaths and destruction every year. Earthquakes are one of the most catastrophic natural hazards, and they frequently turn into disasters that cause utter devastation and loss of life. We first implement the prediction on a classical machine learning algorithm and then compare the results with quantum machine learning. Since the processing power of quantum computers is significantly higher than classical computers, it is expected to predict earthquakes accurately and give an early warning to alert the locals residing in that area.