yuyuexi / SSSS

Spring School @ Song Shan Lake

Deep Learning and Quantum Programming: A Spring School

Song Shan lake Spring School, with lectures, code challenge and happy fatty night.

Song Shan Lake, Dong Guan, China, from 5th May to 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
4. Variational Quantum Computing
   • 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
     • 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)