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Classroom Contents
On Quantum Linear Algebra for Machine Learning - Quantum Colloquium
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- 1 Introduction
- 2 Motivation
- 3 Introducing Quantum Linear Algebra
- 4 Blocking Coding
- 5 Linear Algebra on Quantum States
- 6 Linear Combinations
- 7 Literary Polynomials
- 8 Lipschitz
- 9 Matrix Functions
- 10 Blocking Codings
- 11 Block Encoding
- 12 Barriers
- 13 Applications
- 14 Example
- 15 Input problem
- 16 Output problem
- 17 Sample Query Axis
- 18 Sample Data Structure
- 19 Composition Properties
