Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore a cutting-edge conference talk on quantum property learning presented by Hong-Ye Hu from Harvard University at the 10th International Conference on Quantum Information and Quantum Control (CQIQC-X). Delve into the demonstration of robust and efficient quantum property learning techniques using shallow shadows. Gain insights into the latest advancements in quantum information science and their potential applications. This 25-minute presentation, scheduled for August 28, 2024, at the Fields Institute, offers a unique opportunity to understand the intersection of quantum computing and machine learning. Discover how shallow shadows contribute to enhancing the efficiency and robustness of quantum property learning algorithms.
Syllabus
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Taught by
Fields Institute
Related Courses
Quantum Control for Trapped IonFields Institute via YouTube Verifiable Quantum Supremacy - What I Hope Will Be Done
Fields Institute via YouTube A Single T-Gate Makes Distribution Learning Hard
Fields Institute via YouTube Quantum Walks on Hierarchical Graphs
Fields Institute via YouTube Gaussian Boson Sampling Experiments with Displacements and Time-Bin Encoding
Fields Institute via YouTube