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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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Dong An - Improved complexity estimation for Hamiltonian simulation with Trotter formula

25 Jan 2022
38m
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Seth Lloyd - Quantum polar decomposition - IPAM at UCLA

25 Jan 2022
22m
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Ewin Tang - On quantum linear algebra for machine learning - IPAM at UCLA

25 Jan 2022
34m
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Jarrod McClean - Dequantization and quantum advantage in learning from experiments - IPAM at UCLA

25 Jan 2022
31m
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Iordanis Kerenidis - New results in quantum linear algebra - IPAM at UCLA

25 Jan 2022
37m
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Rolando Somma - The Quantum Linear Systems Problem - IPAM at UCLA

25 Jan 2022
33m
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Yulong Dong - Fast algorithms for quantum signal processing - IPAM at UCLA

24 Jan 2022
35m
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Dan Stamper-Kurn - Approaches to quantum information processing with cold atoms - IPAM at UCLA

24 Jan 2022
38m
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Andras Gilyen - Quantum Algorithms for Quantum Information Processing Tasks - IPAM at UCLA

24 Jan 2022
36m
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Di Fang - Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics - IPAM at UCLA

24 Jan 2022
35m
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Andrew Childs - Efficient quantum algorithm for dissipative nonlinear differential equations

24 Jan 2022
38m
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Frank Wuerthwein - Global Cyberinfrastructure for LIGO, Virgo, Kagra, IceCube, and others

03 Dec 2021
40m
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Jonathan Gair - Rapid and robust parameter estimation for gravitational wave observations

03 Dec 2021
44m
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Patrick Godwin - Low-latency Noise Mitigation Techniques in GW Detector Data Using Aux Sensor Info

03 Dec 2021
34m
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Kelly Holley-Bockelmann - Maximizing Multi-messenger Astronomy with LISA - IPAM at UCLA

02 Dec 2021
26m
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Gabriele Vajente - Machine Learning and Gravitational Wave Detectors - IPAM at UCLA

02 Dec 2021
39m
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Jess McIver - Rapid glitch mitigation for near-future gravitational-wave detectors - IPAM at UCLA

02 Dec 2021
38m
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John Veitch - Computational Challenges in Gravitational Wave Parameter Estimation - IPAM at UCLA

02 Dec 2021
45m
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Nathan Whitehorn - Neutrino in a haystack: computational challenges for IceCube Neutrino Observatory

02 Dec 2021
40m
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Jenne Driggers - Improving the sensitivity of gravitational wave interferometers - IPAM at UCLA

01 Dec 2021
45m
Page 76

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