Podcast cover
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

Episode cover

Pedram Roushan - Quantum simulation with noisy intermediate-scale quantum processors, part 1/2

14 Sep 2023
1h 11m
Episode cover

Dong An - Introduction to quantum linear algebra, part 3/3 - IPAM at UCLA

14 Sep 2023
1h 12m
Episode cover

Nicolas Delfosse - Introduction to quantum error correction, part 3/3 - IPAM at UCLA

14 Sep 2023
1h 7m
Episode cover

Nicolas Delfosse - Introduction to quantum error correction, part 2/3 - IPAM at UCLA

14 Sep 2023
1h 17m
Episode cover

Di Fang - Quantum algorithms for dynamics simulation: differential equations - IPAM at UCLA

14 Sep 2023
1h 15m
Episode cover

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 2/2 - IPAM at UCLA

13 Sep 2023
50m
Episode cover

Dong An - Introduction to quantum linear algebra, part 2/3 - IPAM at UCLA

13 Sep 2023
1h 14m
Episode cover

Nicolas Delfosse - Introduction to quantum error correction, part 1/3 - IPAM at UCLA

13 Sep 2023
1h 15m
Episode cover

Di Fang - Quantum algorithms for dynamics simulation: Hamiltonian simulation & general differential

13 Sep 2023
1h 11m
Episode cover

Dong An - Introduction to quantum linear algebra, part 1 of 3 - IPAM at UCLA

12 Sep 2023
1h 17m
Episode cover

Yu Tong - The Heisenberg limit and early fault-tolerant quantum algorithms, part 1/2 - IPAM at UCLA

12 Sep 2023
1h 6m
Episode cover

Ping Yang - Autonomous Discovery for Separation Sciences - IPAM at UCLA

30 May 2023
51m
Episode cover

Cyrus Harrison - Visualization and Analysis of HPC Simulation Data with VisIt - IPAM at UCLA

25 May 2023
53m
Episode cover

Jan Janssen - Packaging Scientific Software with Conda-Forge - IPAM at UCLA

25 May 2023
54m
Episode cover

Rahul Gayatri - Introduction to Containers on Perlmutter - IPAM at UCLA

24 May 2023
48m
Episode cover

Evan Weinberg - A SNAPshot of Profiler Guided Optimization - IPAM at UCLA

23 May 2023
38m
Episode cover

Stan Moore - Optimizing GPU Performance: Case Study Using Chain Benchmark in LAMMPS

23 May 2023
44m
Episode cover

Justin Smith - The state of neural network interatomic potentials - IPAM at UCLA

22 May 2023
41m
Episode cover

Richard Hennig & Jason Gibson - AI-driven workflows for the discovery of novel superconductors

05 May 2023
52m
Episode cover

James Corbett - Flux: a next generation resource manager for HPC and beyond - IPAM at UCLA

05 May 2023
49m
Page 49

Follow this podcast in Podwise

Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.

Open in Podwise