YoVDO

Quantum-Inspired Classical Linear Algebra

Offered By: Simons Institute via YouTube

Tags

Linear Algebra Courses Quantum Computing Courses Algorithm Optimization Courses Low-Rank Approximation Courses

Course Description

Overview

Explore quantum-inspired classical linear algebra techniques in this 59-minute lecture by Ewin Tang from the University of Washington. Delve into the quantization of algorithms, model sketching, and important sampling as part of the Quantum Wave in Computing Boot Camp. Learn about observations, properties, and error analysis in quantum-inspired systems. Examine recommendation systems, singular value transformation, and threshold functions. Discover the applications of lowrank approximation and sampling in this advanced exploration of quantum-inspired classical computing methods.

Syllabus

Introduction
Context
Quantizing Algorithms
Model
Sketching
Important Sampling
Observations
Property
Output
Error
Their Recommendation Systems
Singular Value Transformation
Threshold Function
Lowrank Approximation
Sampling


Taught by

Simons Institute

Related Courses

Sampling for Linear Algebra, Statistics, and Optimization I
Simons Institute via YouTube
Foundations of Data Science II
Simons Institute via YouTube
Near Optimal Linear Algebra in the Online and Sliding Window Models
IEEE via YouTube
Low Rank Approximation in Electron Excitation Calculations - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Learning-Based Low-Rank Approximations - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube