
Institute for Pure & Applied Mathematics (IPAM)
The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.
Episodes


Alessio Figalli - Quantitative Stability in Geometric and Functional Inequalities - IPAM at UCLA

Shay Shadovsky - Involutions and costs: A zoo of dualities - IPAM at UCLA

Liran Rotem - Spectral inequalities for rotation invariant measures - IPAM at UCLA

Orli Herscovici - Kohler-Jobin Meets Ehrhard - IPAM at UCLA

Grigorios Paouris - Empirical Isoperimetric Inequalities outside convexity - IPAM at UCLA

Guofang Wei - Fundamental Gap Estimate for Convex Domains - IPAM at UCLA

Karoly Boroczky - Equality in the Reverse Brascamp Lieb Inequality - IPAM at UCLA

Bo'az Klartag - Size of line intersections in high dimensional L_p-balls and product measures

Maria Kieferova - Training quantum neural networks with an unbounded loss function - IPAM at UCLA

Chao Yang - Practical Quantum Circuits for Block Encodings of Sparse Matrices - IPAM at UCLA

Alexandra Kolla - Quantum Approximate Optimization Algorithm (QAOA) and Local Max-Cut - IPAM at UCLA

Carlos Bravo-Prieto - Variational quantum architectures for linear algebra applications

Jin-Peng Liu - Efficient quantum algorithms for nonlinear ODEs and PDEs - IPAM at UCLA

Kirsten Eisentraeger - Classical and quantum algorithms for isogeny problems - IPAM at UCLA

Yu Tong - Heisenberg-limited ground state energy estimation & early fault-tolerant quantum computers

Sophia Economou - Problem-tailored variational quantum algorithms - IPAM at UCLA

Anirban Chowdhury - Classical and quantum algorithms for estimating traces and partition functions

Garnet Chan - Arithmetic tensor networks and integration - IPAM at UCLA

Dominic Berry - Optimal scaling quantum linear systems solver via discrete adiabatic theorem
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