Mini library

This page provides a collection of some references I personally find useful for the study and research. Please feel free to send me an email if you have any good suggestions.

Quantum


Algorithm

Lecture note by Andrew Childs link

Lecture note by Ronald de Wolf link

Lecture note by Lin Lin link

A Grand Unification of Quantum Algorithms

Learning

A Survey of Quantum Learning Theory

A survey on the complexity of learning quantum states

The randomized measurement toolbox

Introduction to Haar Measure Tools in Quantum Information: A Beginner’s Tutorial

Complexity

Around the quantum PCP Conjecture

Quantum proofs

Information

Theory of Quantum Information


Machine learning


Lecture note by Arthur Gretton link

Lecture note by Tengyu Ma link

Neural Tangent Kernel Papers

The Information Bottleneck Problem and Its Applications in Machine Learning

Diffusion Models: A Comprehensive Survey of Methods and Applications


Others


Spectral graph theory

Markov chain and mixing times

Analysis of Boolean Functions

Introduction to Online Convex Optimization