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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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Thomas Barthel - Quantum sim of condensed matter using Trotterized entanglement renormalization

09 Feb 2024
51m
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Norbert Schuch - Tensor networks and the negative sign problem - IPAM at UCLA

09 Feb 2024
50m
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Grigoris Paouris - Small ball probabilities for random tensors and analysis of tensor decompositions

09 Feb 2024
52m
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Alessandra Bernardi - Defective tensor network varieties - IPAM at UCLA

08 Feb 2024
51m
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Fabian Faulstich - Tailoring coupled cluster theory with matrix product states - IPAM at UCLA

08 Feb 2024
53m
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Carolin Wille - Topological Dualities from Matchgate Tensor Networks - IPAM at UCLA

08 Feb 2024
55m
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Jeroen Zuiddam - Discreteness of asymptotic tensor ranks - IPAM at UCLA

08 Feb 2024
40m
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Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA

08 Feb 2024
51m
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Jingmei Qiu - Conservative Adaptive Rank Integrators for Nonlinear Kinetic Models - IPAM at UCLA

07 Feb 2024
48m
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Feng Pan - Arbitrary Tensor Network Algorithm: Theory, Methods and Applications - IPAM at UCLA

07 Feb 2024
43m
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Elisa Ercolessi - Hybrid Variational Algorithms for Classical and Quantum Complex Systems

07 Feb 2024
53m
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Steve White - The strange energy spectrum of approximate matrix product ground states - IPAM at UCLA

07 Feb 2024
51m
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Ion Nechita - Monogamy of highly symmetric states - IPAM at UCLA

07 Feb 2024
54m
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Liza Rebrova - Memory-efficient modewise measurements for tensor compression and recovery

06 Feb 2024
50m
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Chia-Yu Chang - Border subrank of tensors - IPAM at UCLA

06 Feb 2024
42m
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Yuehaw Khoo - High-dimensional PDEs, tensor-network, and convex optimization - IPAM at UCLA

06 Feb 2024
52m
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Mathias Oster - Solving High-Dimensional Optimal Control Problems w/ Empirical Tensor Train Approx.

06 Feb 2024
46m
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Roman Orus - News on tensor Networks for machine learning and quantum computing simulation

06 Feb 2024
1h 8m
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Benjamin Villalonga - Benchmarking NISQ and QEC experiments with tensor networks - IPAM at UCLA

05 Feb 2024
1h 21m
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Joseph Landsberg - Geometry of tensor networks and tensor invariants - IPAM at UCLA

05 Feb 2024
1h 7m
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