Institute for Pure & Applied Mathematics (IPAM) Courses

More is Different - Non-Scalability of Approximation in Modeling Noncovalent Interaction

3 reviews

Exploring the limitations of common approximations in modeling non-covalent interactions at the nanoscale, revealing complex scaling behaviors and the need for advanced quantum-mechanical methods.

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

Quantum Walk, Efficient Implementation, and Potential Application - IPAM at UCLA

1 review

Explore quantum walk algorithms, efficient implementations, and potential applications in scientific computation with insights on quantum circuit design for various graph types.

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

Neural Cross-Frequency Coupling - Delta-Alpha, Resting State, Anesthesia, Sleep

1 review

Explore neural cross-frequency coupling functions, focusing on delta-alpha interactions in resting state, anesthesia, and sleep. Discover how Bayesian inference reveals functional mechanisms of brainwave oscillations.

• YouTube
• 44 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

Fast, Accurate and Large-Scale Ab-Initio Calculations for Materials Modeling

Explore advanced computational methods for large-scale density functional theory calculations, their applications in materials modeling, and the performance of the DFT-FE open-source code.

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

The Pitfalls of Using ML-Based Optimization - IPAM at UCLA

Explore pitfalls of ML-based optimization in graph problems, comparing traditional approaches for Force Path Cut and Hypergraph Discovery. Gain insights on limitations and potential improvements in AI applications.

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

Discrete Optimization-Aided Structured Learning at Scale - IPAM at UCLA

Explore discrete optimization techniques for structured learning, featuring algorithmic aspects, statistical setups, and approaches to feature selection and learning trees.

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

Optimization-in-the-Loop AI for Energy and Climate - IPAM at UCLA

Optimization-in-loop AI framework for climate action: enhancing ML models with physics, constraints, and decision-making processes for energy grids, building efficiency, and more.

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

Learning to Untangle Genome Assembly Graphs - IPAM at UCLA

Explore deep learning techniques for untangling genome assembly graphs, improving accuracy and efficiency in DNA sequencing without manual intervention.

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

Quantum Simulation - IPAM at UCLA

Explore quantum simulation's origins, relevance, and key concepts with Nathan Wiebe. Delve into Schrödinger equations, Hamiltonian simulation, and Taylor's theorem in this comprehensive lecture.

• YouTube
• 2 hours 42 minutes
• On-Demand
• Free Video