Quantum Computing for Geosciences

Divakar Vashisth
"Quantum Computing for Geosciences" is an innovative project that delves into the potential integration of quantum computing within the realm of geosciences. At the heart of this initiative is a curiosity-driven exploration to determine how the unique attributes of quantum computing, notably in quantum annealing and quantum machine learning, can be applied to solve complex inverse problems in geosciences. Additionally, we are keenly interested in solving combinatorial optimization problems relevant to geosciences, utilizing quantum annealing and the Quantum Approximate Optimization Algorithm (QAOA). Our approach is methodical and exploratory, focusing on identifying the specific aspects of geosciences where quantum computing could offer significant advantages in terms of speed, accuracy, or memory efficiency. This project is a step towards a thorough understanding and practical application of quantum computing in geosciences, paving the way for future advancements and potentially transforming our approach to Earth's complex systems.