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2019年11月19日 · 安装方法可以使用 conda（conda是比较简单的安装方法，此外也可以用 pip 等）：conda install -c conda-forge kwant 。 安装可能需要等比较久一点。 如果在 Windows 下的命令行窗口中无法安装，可以试着开启管理员模式的命令行窗口。 此外，可阅读另外几篇博文： import numpy as np. from matplotlib import pyplot. def make_system(): . a = 1 # 晶格常数 . lat = kwant.lattice.square(a) # 创建晶格，方格子 . syst = kwant.Builder() # 建立中心体系 . t =1.0 # …

2019年11月20日 · Kwant 里有六个核心模块： 这六个模块中有一些方法比较常用，被定义为高级的方法 (Top level package)，可以用 kwant 直接调用。 这里列出来： kwant.builder.Builder 可以直接写成 kwant.Builder。 kwant.lattice.TranslationalSymmetry 可以直接写成 kwant.TranslationalSymmetry 。 kwant.plotter.plot 可以直接写成 kwant.plot。 kwant.solvers.default.wave_function 可以直接写成 kwant.wave_function。 每个模块中都有很 …

要在Windows的PyCharm中安装Kwant，并且你使用的是Python 3.9版本，建议遵循以下步骤： 1. 安装依赖项：Kwant依赖于SciPy、NumPy和Mumps等库。

Kwant is a free (open source) Python package for numerical calculations on tight-binding models with a strong focus on quantum transport. It is designed to be flexible and easy to use. Thanks to the use of innovative algorithms, Kwant is often faster than other available codes, even those entirely written in the low level FORTRAN and C/C++ ...

Two approaches are possible to obtain the density exectation value: Either a high-level approach using manybody.State where the preprocessing is done automatically and which provides additional functionality. Alternatively a low-level approach using manybody.WaveFunction, where the different preprocessing steps must be handled manually.

2025年3月8日 · tight-binding model simulation of the effects of an exterior electric field on a circular quantum dot using Kwant. This Repo includes the conductance calculation codes and the plotting codes for the paper (arXiv: 1901.02655). This Repo includes the quality factor, conductance, wave function calculation codes in the paper (arXiv: 2111.01178).

Kwant is a free (open source) Python package for numerical calculations on tight-binding models with a strong focus on quantum transport. It is designed to be flexible and easy to use. Thanks to the use of innovative algorithms, Kwant is often faster than other available codes, even those entirely written in the low level FORTRAN and C/C++ ...