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0:59 Definition of a computational algorithm 6:25 Algorithms in this course 9:36 Comparing algorithms for the same problem 10:43 ...

Recorded 12 January 2026. Andras Gilyen of the Renyi Institute of Mathematics presents "Quantum generalizations of Glauber ...

Recorded 14 January 2026. M. Isabel Franco Garrido of the California Institute of Technology presents "Optimization algorithms ...

Recorded 12 January 2026. Lin Lin of the University of California, Berkeley, presents "Dissipative Preparation of Thermal and ...

Recorded 15 January 2026. Thiago Bergamaschi of the University of California, Berkeley presents "A Structural Theory of ...

Recorded 15 January 2026. Di Fang of Duke University presents "Mathematical Analysis of Many-Body Quantum Simulation with ...

Recorded 13 January 2026. Alexander Zlokapa of the Massachusetts Institute of Technology presents "Average-case quantum ...

Recorded 13 January 2026. Eric Carlen of Rutgers University New Brunswick/Piscataway presents "Boundary-driven quantum ...

Recorded 15 January 2026. Xiantao Li of Penn State University presents "A general dilation framework for non-Hermitian ...

Recorded 15 January 2026. Yihui Quek of EPFL presents "Hamiltonian Decoded Quantum Interferometry" at IPAM's New ...

Recorded 12 January 2026. Anthony (Chi-Fang) Chen of the Simons Institute for the Theory of Computing presents "Fast Mixing of ...

Recorded 12 January 2026. Zhiyan Ding of the University of Michigan presents "New insights into system–bath interaction models ...

Recorded 13 January 2026. Ankur Moitra of the Massachusetts Institute of Technology presents "Transitions in Quantum Spin ...

Recorded 14 January 2026. Jianfeng Lu of Duke University presents "Lifting of Quantum Markov Processes" at IPAM's New ...

Recorded 13 January 2026. Jiaqing Jiang of the University of California, Berkeley, presents "Predicting properties of quantum ...

Data Science and Statistics Lecture given on 5 November 2025 By Howard Bondell - Professor of Statistical Data Science and ...

We show you how we can help you model marketing data such as inferring uncapped demand from limited sales. Comments ...

Abstract: Matrix multiplication sits at the core of today's machine learning workloads, especially in large language models (LLMs) ...

Recorded 14 January 2026. Daniel Stilck Franca of the University of Copenhagen presents "Learning and certification of local ...

Recorded 12 January 2026. Yu Tong of Duke University presents "Quantum and classical algorithms for weakly interaction ...