Innovation in Quantum Software - Alán Aspuru-Guzik - AAAS Annual Meeting

Explore the cutting-edge intersection of quantum computing and materials science in this 18-minute conference talk from the AAAS Annual Meeting. Discover how innovative software leverages quantum computing and machine learning to accelerate the discovery of new chemicals and materials. Learn about novel algorithms developed for near-term, noisy quantum devices and the application of classical machine-learning techniques to quantum computing hardware discovery. Gain insights into the rapidly growing quantum software community and their collaborative efforts in developing open-source packages and libraries. Delve into topics such as variational quantum algorithms, state-of-the-art developments, practical examples, and experimental progress in this fascinating field.

Introduction
Algorithms for NearTerm Quantum Computers
How does a variational quantum algorithm work
State of the art
Examples
Experimental Progress
Discussion