Quantum Machine Learning with Superconducting Circuits

Explore quantum neuromorphic computing in this conference talk from DSC EUROPE 24 in Belgrade, where Danijela Markovic delves into how quantum properties like superposition and entanglement can be harnessed for information processing and achieving significant computational speedups. Learn about the development of machine learning algorithms specifically designed to leverage quantum coherences, with a focus on implementations using superconducting circuits. The 28-minute presentation, delivered on November 20th, offers valuable insights into the intersection of quantum computing and machine learning technologies.