Generating Approximate Ground States of Molecules Using Quantum Machine Learning

Generating Approximate Ground States of Molecules Using Quantum Machine Learning

Explore the intersection of quantum computing and machine learning in this 35-minute lecture by Torin Stetina from the Simons Institute. Delve into the innovative techniques for generating approximate ground states of molecules using quantum machine learning algorithms. Learn about the latest advancements in this field as part of the Provable NISQ Quantum Advantage Workshop, gaining insights into how these methods can potentially revolutionize computational chemistry and materials science.