A tutorial on the linear scaling quantum transport methods using Jupyter (with the Python 3 kernel)

• LSQT-Jupyter is a Jupyter notebook demonstrating some practical apects of the linear-scaling quantum transport methods reviewd in Ref. [1]. I will refer to this reference frequently for the relevant theoretical backgrounds.
• This code is only suitable for learning the methods. For high performance computing, check the GPUQT code I wrote: https://github.com/brucefan1983/gpuqt
• This code only considers square lattice with Anderson disoder as the model system. For more general simulations, again check the GPUQT code.
• For fans of Matlab, check the lsqt-matlab code I wrote: https://github.com/brucefan1983/lsqt-matlab

[1] Zheyong Fan, Jose Hugo Garcia, Aron W Cummings, Jose-Eduardo Barrios, Michel Panhans, Ari Harju, Frank Ortmann, and Stephan Roche, Linear Scaling Quantum Transport Methodologies, submitted to Reviews of Modern Physics. https://arxiv.org/abs/1811.07387