Strachey Lecture: ‘Quantum Learning for Quantum Problems’ ⚛️💻
Professor Ryan O’Donnell of Carnegie Mellon University delivers the Hilary Term 2027 Strachey Lecture, ‘Quantum Learning for Quantum Problems’. A Professor of Computer Science working in theoretical computer science and mathematics, O’Donnell’s research spans the analysis of Boolean functions, computational complexity, spectral graph theory, and quantum computation and information. The Strachey Lectures are generously supported by OxFORD Asset Management.
What to expect:
⚛️ Quantum learning for quantum problems — A lecture from the frontier of quantum computation and information, exploring how learning techniques meet the challenges posed by quantum systems
🧮 A leading theoretical computer scientist — O’Donnell is the author of the textbook Analysis of Boolean Functions and has shaped areas including optimal hardness-of-approximation, quantum state tomography and high-dimensional expanders
🏛️ A flagship Oxford computing lecture — Part of the Strachey Lectures in Computing Science, held in the grand surroundings of the University Museum of Natural History