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Breaking the Curse of Dimension in Quantum Mechanical Computations Through Analysis and Probability

Offered By: Alan Turing Institute via YouTube

Tags

Quantum Mechanics Courses Data Science Courses Quantum Computing Courses Probability Courses Computational Chemistry Courses Density Functional Theory Courses Optimal Transport Courses

Course Description

Overview

Explore quantum mechanical computations and their dimensional challenges in this 26-minute talk by Codina Cotar from the Department of Statistical Science at UCL. Delve into the complexities of Schroedinger's equation for many-electron problems and understand why solving it accurately and efficiently remains a significant challenge. Learn about density functional theory (DFT) as an approximation method for simulating chemical behavior in large systems. Discover recent approaches to tackle existing issues in the field, including insights from probability theory and optimal transport. Gain an introduction to quantum computing, data science applications in quantum mechanics, and the historical context of these developments. Examine the interaction between electrons and key quantum mechanics quantities while uncovering interesting facts about this cutting-edge area of research.

Syllabus

Introduction
Quantum computing and data science
Probability in quantum mechanics
Interaction between electrons
Quantum mechanics
DFT
History
Fun Facts
Key Quantum Mechanics Quantity
Optimal Transport


Taught by

Alan Turing Institute

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