Full-Stack Quantum Resource Estimation for Materials Science and Quantum Chemistry

Explore a comprehensive seminar presentation that delves into the resource requirements and practical applications of quantum computing in materials science and quantum chemistry. Learn about end-to-end resource estimation for industrial and scientific challenges, focusing on corrosion studies in magnesium alloys and high-temperature niobium-rich alloys, as well as binding affinity calculations in amyloid beta proteins relevant to neurodegenerative diseases. Understand the current limitations and requirements of quantum phase estimation algorithms, including the need for thousands of logical qubits and extensive computational resources. Gain insights into the challenges facing utility-scale quantum computing implementation and the necessary improvements needed across chemical descriptions, quantum algorithms, error correction schemes, and physical operations. Presented by Dr. Matthew Otten, an assistant professor of physics at the University of Wisconsin–Madison and former Maria Goeppert Mayer fellow, who brings expertise in theoretical quantum information science and its practical applications.