
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


Lin Lin - Single-ancilla ground state preparation via Lindbladians - IPAM at UCLA

Xiantao Li - Open quantum systems in quantum computing - IPAM at UCLA

Jianfeng Lu - Lindblad Equations: Variational Analysis and Numerical Methods - IPAM at UCLA

Anthony (Chi-Fang) Chen - “Quantum” Markov Chain Monte Carlo algorithm - IPAM at UCLA

Andras Gilyen - Quantum algorithmic tools for simulating open quantum systems - IPAM at UCLA

Zane Rossi - Modular quantum signal processing with gadgets - IPAM at UCLA

Christian Mendl - Aspects of quantum simulation of the Fermi-Hubbard model - IPAM at UCLA

Kianna Wan - Fast multipole method on a quantum computer - IPAM at UCLA

Zhiyan Ding - Optimized signal for Quantum phase estimation on early fault-tolerant quantum computer

Peter Johnson - In pursuit of the first useful quantum computations for chemistry - IPAM at UCLA

Lexing Ying - Q-PDO and Robust QPE - IPAM at UCLA

Yu Tong - Recent progress in Hamiltonian learning - IPAM at UCLA

Robin Kothari - Mean estimation when you have the source code; or, quantum Monte Carlo methods

Yuan Su - On the complexity of implementing Trotter steps - IPAM at UCLA

Mario Berta - Quantum state preparation without coherent arithmetic - IPAM at UCLA

Rolando Somma - Quantum algorithm for simulating coupled classical oscillators - IPAM at UCLA

Hsin-Yuan Huang (Robert) - Classical ML for quantum problems - IPAM at UCLA

Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA

Pedram Roushan - Quantum simulation with noisy intermediate-scale quantum processors, part 2/2
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