Mini Library
This page provides a collection of references I personally find useful for study and research. Feel free to send me an email if you have any good suggestions.
Quantum Computing
Algorithms, learning, complexity, and information theory
Algorithms
Lecture notes by Andrew Childs
lecture notes
Lecture notes by Ronald de Wolf
lecture notes
Lecture notes by Lin Lin
lecture notes
Quantum algorithms by Andris Ambainis
lecture notes
Learning
Complexity
Quantum proofs
paper
Information
Machine Learning
Theory, algorithms, and applications
General
Lecture notes by Arthur Gretton
lecture notes
Lecture notes by Tengyu Ma
lecture notes
Neural Tangent Kernel Papers
paper collection
Other Topics
Mathematics, optimization, and theoretical computer science
General
Spectral graph theory
lecture notes
Markov chain and mixing times
lecture notes
Analysis of Boolean Functions
lecture notes
Introduction to Online Convex Optimization
lecture notes
Deep Learning
Machine Learning
Programming
Python Documentation
documentation
Julia Documentation
documentation
Tools
Jupyter Notebook
tool
Git Documentation
documentation