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Solution to the Quantum Rings challenge.
A hybrid earthquake forecasting system combining seismic intelligence, machine learning, and quantum methods to predict calibrated 30-day earthquake risk.
This project examines the likelihood of an earthquake occurring at a given point using a hybrid quantum-classical approach, leveraging ETAS values, distance to fault lines and distance to sea.
Estimating quantum circuit runtime for the Quantum Rings challenge at SC Quantathon v3 2026.
To improve earthquake predictions via multiple methods
Using Machine Learning to predict the runtime of a quantum circuit
ml predictor to find quantum circuit runtime
Seismic, ETAS, and quantum approaches to the earthquake problem
This is the submission for Quantathon_v3 from team 7 (Schrodingers Tigers).
Know before you run: machine learning that predicts quantum simulation runtime from the circuit file alone, 90.5% accurate with just 7 features.
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