Institute for Pure & Applied Mathematics (IPAM) Courses

Universal Fluctuations in Ergodic Quantum Dynamics and Benchmarking Entangled States

Explore universal quantum fluctuations, their role in quantum advantage claims, and a new protocol for estimating fidelity in analog quantum simulators, with applications in Rydberg atom experiments.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Auxiliary-Field Quantum Monte Carlo Beyond Hartree-Fock Trial Wavefunctions

Explore advanced trial wavefunctions in auxiliary-field quantum Monte Carlo, examining successes, challenges, and future research directions in many-body quantum systems.

• YouTube
• 59 minutes
• On-Demand
• Free Video

From Nonequilibrium Quantum Systems to Open Quantum Systems - IPAM at UCLA

Explore nonequilibrium and open quantum systems with Prineha Narang, delving into cutting-edge research and theoretical frameworks in quantum physics and their computational applications.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Quantum Algorithms for Dynamics Simulation - Hamiltonian Simulation & General Differential

Explore quantum algorithms for simulating dynamics, focusing on Hamiltonian simulation and differential equations in this comprehensive tutorial by Duke University's Di Fang.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Quantum Simulation with Noisy Intermediate-Scale Quantum Processors

Explore advanced quantum simulation techniques using noisy intermediate-scale quantum processors, focusing on cutting-edge developments and practical applications in computational quantum physics.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Quantum Simulation with Noisy Intermediate-Scale Quantum Processors

Explore quantum simulation using noisy intermediate-scale quantum processors in this comprehensive tutorial by Google's Pedram Roushan, covering key concepts and challenges in the field.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Quantum Algorithms for Dynamics Simulation - Differential Equations - IPAM at UCLA

Explore quantum algorithms for simulating dynamics and solving differential equations, focusing on mathematical and computational challenges in quantum computing.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Classical ML for Quantum Problems - IPAM at UCLA

Explore classical machine learning applications in quantum computing, focusing on solving quantum problems and advancing quantum technologies.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Learning Theory in the Quantum Universe - IPAM at UCLA

Explore quantum learning theory with Google Quantum AI expert Hsin-Yuan Huang. Discover mathematical challenges and computational advancements in quantum computing through this insightful presentation.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Introduction to Containers on Perlmutter - IPAM at UCLA

Explore containerization on Perlmutter supercomputer, focusing on implementation, benefits, and practical applications in high-performance computing environments.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Visualization and Analysis of HPC Simulation Data with VisIt

Explore HPC simulation data visualization using VisIt software, focusing on techniques for analyzing large-scale scientific datasets in high-performance computing environments.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Packaging Scientific Software with Conda-Forge - IPAM at UCLA

Explore scientific software packaging using Conda-Forge with Jan Janssen from Los Alamos National Laboratory, focusing on co-design for exascale computing and hackathon applications.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Autonomous Discovery for Separation Sciences - IPAM at UCLA

Explore innovative approaches to accelerate f-element separation science design using data science and automation techniques, addressing challenges in rare earth and actinide separation for clean energy and nuclear fuel applications.

• YouTube
• 52 minutes
• On-Demand
• Free Video

AI-Driven Workflows for the Discovery of Novel Superconductors

Explore AI-driven methods for discovering novel superconductors, including data augmentation, ultra-fast machine-learning potentials, and symbolic regression to improve predictive equations for superconducting transition temperatures.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Flux - A Next Generation Resource Manager for HPC and Beyond - IPAM at UCLA

Explore Flux, a next-gen resource manager for HPC, offering advanced scheduling, standardized interfaces, and nested instance capabilities for improved scientific workflows.

• YouTube
• 50 minutes
• On-Demand
• Free Video