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
- Deep Learning
lecture_notes.pdf
andslides/
- 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/
- Poor man's computation graph:
- Tensor Networks
- Julia language
- 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
andVQE_action.ipynb
- Mapping a quantum circuit to tensor networks:
qc_tensor_mapping.ipynb
- The solution to the graph embeding problem:
- Lecture Note:
Welcome for pull requests and issues!
Song-Shan-Hu Sping School Coding Challenge
You can open this repo as a Julia package if you have julia installed:
- open your Julia REPL, press
]
- type the following
(1.0) pkg> add https://github.com/QuantumBFS/SSSS.git
- press backspace
- type the following
julia> using SSSS
julia> notebooks()
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)