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Institute for Pure & Applied Mathematics (IPAM) · 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 - Linear combination of Hamiltonian simulation for non-unitary dynamics - IPAM at UCLA

05 Oct 2023
51m
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Lin Lin - Single-ancilla ground state preparation via Lindbladians - IPAM at UCLA

05 Oct 2023
54m
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Xiantao Li - Open quantum systems in quantum computing - IPAM at UCLA

04 Oct 2023
54m
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Jianfeng Lu - Lindblad Equations: Variational Analysis and Numerical Methods - IPAM at UCLA

04 Oct 2023
49m
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Anthony (Chi-Fang) Chen - “Quantum” Markov Chain Monte Carlo algorithm - IPAM at UCLA

04 Oct 2023
48m
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Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA

04 Oct 2023
49m
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Zane Rossi - Modular quantum signal processing with gadgets - IPAM at UCLA

04 Oct 2023
43m
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Christian Mendl - Aspects of quantum simulation of the Fermi-Hubbard model - IPAM at UCLA

04 Oct 2023
49m
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Kianna Wan - Fast multipole method on a quantum computer - IPAM at UCLA

03 Oct 2023
52m
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Zhiyan Ding - Optimized signal for Quantum phase estimation on early fault-tolerant quantum computer

03 Oct 2023
45m
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Peter Johnson - In pursuit of the first useful quantum computations for chemistry - IPAM at UCLA

03 Oct 2023
47m
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Lexing Ying - Q-PDO and Robust QPE - IPAM at UCLA

03 Oct 2023
55m
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Yu Tong - Recent progress in Hamiltonian learning - IPAM at UCLA

02 Oct 2023
47m
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Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods

02 Oct 2023
52m
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Yuan Su - On the complexity of implementing Trotter steps - IPAM at UCLA

02 Oct 2023
46m
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Mario Berta - Quantum state preparation without coherent arithmetic - IPAM at UCLA

02 Oct 2023
42m
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Rolando Somma - Quantum algorithm for simulating coupled classical oscillators - IPAM at UCLA

02 Oct 2023
56m
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Hsin-Yuan Huang (Robert) - Classical ML for quantum problems - IPAM at UCLA

15 Sep 2023
1h 19m
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Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA

15 Sep 2023
1h 14m
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Pedram Roushan - Quantum simulation with noisy intermediate-scale quantum processors, part 2/2

15 Sep 2023
1h 8m
Page 48

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