README.md

Deep Learning and Quantum Programming: A Spring School

Song Shan Lake Spring School, features lectures, code challenge, install party and happy fatty night.

South Bay Interdisciplinary Science Center, Songshan Lake Materials Laboratory, Dongguan, China, 5th-10th May, 2019

Table of Contents

1. Deep Learning
   • lecture_notes.pdf and slides/
   • Demo codes
     • Poor man's computation graph: computation_graph.py
     • Variational free energy with flow model: realnvp/
     • Hamiltonian inverse design with reverse mode AD: schrodinger.py
     • Solving the fastest descent problem with NeuralODE brachistochrone/
2. Tensor Networks
   • Slides on tensor networks
   • Slides on contraction methods for infinite tensor networks
   • Tutorial and demo codes on computing $2$-D Ising model partition function using tensor networks
   • Tutorial and demo codes on the MPS Born machine
3. Julia language
   • julia-hands-on.ipynb
4. Quantum Computing with Yao.jl
   • Lecture Note: quantum_lecture_note.pdf
   • Slides: google slides
   • Notebooks
     • The solution to the graph embeding problem: graph_embeding.ipynb
     • Quantum circuit computing with Yao.jl: QC-with-Yao.ipynb, Yao-talk
     • Landscape of a quantum circuit: variational_quantum_circuit.ipynb
     • Variational quantum eigensolver: variational_quantum_circuit.ipynb
     • Matrix Product state inspired variational quantum eigensolver VQE_action.ipynb
     • Quantum circuit born machine: qcbm_gaussian.ipynb
     • Gradient vanishing problem: variational_quantum_circuit.ipynb and VQE_action.ipynb
     • Mapping a quantum circuit to tensor networks: qc_tensor_mapping.ipynb

Welcome for pull requests and issues!

Challenge

Song-Shan-Hu Sping School Coding Challenge

Preparation

Quick start

• quick start for git
• quick start for command line interface

Installation

• how to install ubuntu
• install annaconda
• install PyTorch
• install Julia
• intall Yao.jl

Julia

• Julia语言的中文教程
• 快速入门 Julia 语言
• Julia入门指引

Usage

You can open this repo as a Julia package if you have julia installed:

1. open your Julia REPL, press ]
2. type the following

(1.0) pkg> add https://github.com/QuantumBFS/SSSS.git

3. press backspace
4. type the following

julia> using SSSS

julia> notebooks()

License

The code is released under MIT License. The rest part is released under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)