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Institute for Pure & Applied Mathematics (IPAM) ยท Science

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

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Victor Batista - Quantum Simulation for Chemistry and Materials Science, Part 2 of 2

23 Jan 2026
2h 11m
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Victor Batista - Quantum Simulation for Chemistry and Materials Science, Part 1 of 2

23 Jan 2026
1h 9m
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Zohreh Davoudi - Quantum Simulation for Quantum Field Theories, Part 2 of 2

23 Jan 2026
1h 42m
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Zohreh Davoudi - Quantum Simulation for Quantum Field Theories, Part 1 of 2

23 Jan 2026
1h 36m
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Xiaodi Wu - Hamiltonian-oriented Quantum Algorithm Design and Implementation, Part 2 of 2

22 Jan 2026
1h 19m
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Xiaodi Wu - Hamiltonian-oriented Quantum Algorithm Design and Implementation, Part 1 of 2

22 Jan 2026
1h 34m
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Ken Brown - Tutorial Introduction to Quantum Simulation, Part 2 of 2 - IPAM at UCLA

21 Jan 2026
1h 17m
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Ken Brown - Tutorial Introduction to Quantum Simulation, Part 1 of 2 - IPAM at UCLA

21 Jan 2026
1h 24m
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Kristan Temme - Szegedy Walk Unitaries for Quantum Maps - IPAM at UCLA

16 Jan 2026
39m
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Chunhao Wang - Quantum Regression Theory, Efficient Computation Response, Non-Markovian Open Systems

16 Jan 2026
50m
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Yihui Quek - Hamiltonian Decoded Quantum Interferometry - IPAM at UCLA

15 Jan 2026
39m
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Di Fang - Mathematical Analysis of Many-Body Quantum Simulation with Coulomb Potentials

15 Jan 2026
50m
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Xiantao Li - A general dilation framework for non-Hermitian dynamics simulations - IPAM at UCLA

15 Jan 2026
48m
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Thiago Bergamaschi - A Structural Theory of Quantum Metastability: Markov Properties and Area Laws

15 Jan 2026
44m
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M. Isabel Franco Garrido - Optimization algorithms using Gibbs state preparation and beyond

15 Jan 2026
49m
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Pawel Wocjan - Quantized Markov chain couplings that prepare Qsamples - IPAM at UCLA

15 Jan 2026
51m
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Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise

14 Jan 2026
47m
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Jianfeng Lu - Lifting of Quantum Markov Processes - IPAM at UCLA

14 Jan 2026
51m
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Cambyse Rouze - Heisenberg-limited Hamiltonian learning continuous variable systems via dissipation

14 Jan 2026
42m
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Alexander Zlokapa - Average-case quantum complexity from glassiness - IPAM at UCLA

14 Jan 2026
49m
Page 14

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