Ipython notebooks for our QM class based on Mark Beck's book "Quantum Mechanics: Theory and Experiment"
Jupyter Notebook Python
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AAPTWM2018.pdf
Chapter 1 - Mathematical Preliminaries.ipynb
Chapter 10 - Position & Momentum.ipynb
Chapter 10 - Position & Momentum_blank.ipynb
Chapter 12 - SHO.ipynb
Chapter 13 - Hydrogen Solutions.ipynb
Chapter 13 - Hydrogen.ipynb
Chapter 2 - In Class Problems.ipynb
Chapter 4 In-Class Problems-Solutions.ipynb
Chapter 4 In-Class Problems.ipynb
Chapter 6 - Spin.ipynb
Chapter 7 - Angular Momentum and Rotation.ipynb
Chapter 7 - Angular Momentum.ipynb
Chapter 8 - Alice and Bob.ipynb
Chapter 8 - Two Photon States.ipynb
Chapter 8A - Density Matrix.ipynb
HW 9 Redo.ipynb
LICENSE
Lab 1 - Vectors and Matrices.ipynb
Lab 2 - Quantum States - Blank.ipynb
Lab 2 - Quantum States - Solutions.ipynb
Lab 2 - Quantum States.ipynb
Lab 3 - Operators - Solutions (old).ipynb
Lab 3 - Operators Solutions.ipynb
Lab 3 - Operators.ipynb
Lab 4 - Measurements Solutions.ipynb
Lab 4 - Measurements.ipynb
Lab 5 - Two-particle systems.ipynb
Lab 6 - Spin.ipynb
Lab 7 - Time Evolution.ipynb
Lab 8 - SHO.ipynb
README.md
Simulating measurements.ipynb
environment.yml
scrub_sols.py

README.md

Quantum Mechanics in Python

This is a set of Jupyter notebooks (running python) for use in a Quantum Mechanics class. The material is based on (and in sequence with) Mark Beck's book "Quantum Mechanics: Theory and Experiment" but the notebooks can be used independently and with or without a QM textbook.

These are a mix of in-class activities (organized by Chapter title) or longer lab-length activities ("Lab" title). The labs are numbered in order, and the title corresponds to book chapter titles.

To run interactive versions of these notebooks, please: Binder

Examples:

The file AAPTWM2018.pdf contains slides for my talk presented at the AAPT Winter Meeting in 2018. Additionally, a longer version of the talk was presented at PyCon 2017 and is available on YouTube.

Installation:

The notebooks make use of the QuTiP package (Quantum Toolbox in Python). For additional documentation on this requirement, please see the project page. Installation of QuTiP should be handled by your python package manager:

Anaconda (mac/win): conda install qutip

Mac/Linux: pip install qutip

I personally recommend the Anaconda Scientific Python Distribution for ease of installation on Windows machines. I use it on Mac OSX as well. Linux package managers (and pip) generally make the same type of python package management straightforward but Anaconda (and the conda package manager) can be very useful in Linux as well.