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EQuS Workshop on Python for Quantum Information Science

The EQuS Workshop on Python for Quantum Information Science is dedicated to a harassment-free workshop experience for everyone. Our anti-harassment policy can be found here.

November 17 & 18, 2016. Due to space constraints, registration is now closed.

Two-day workshop as an introduction to Python for scientific computing. Please bring your own computer to this event.


Thursday Friday
9am to 10:30am Tools for Scientific Computing 0
Sarah Kaiser
9am to 10:30am Open Systems w/ QuTiP
Chris Granade
10:30am to 11am Coffee 10:30am to 11am Coffee
11m to 12:30pm Tools for Scientific Computing 1
Chris Granade
11m to 12:30pm Data Analysis w/ QInfer
Chris Ferrie
12:30pm to 1:30pm Lunch 12:30pm to 1:30pm Lunch
1:30pm to 3:00pm Python for General Use
Sarah Kaiser
1:30pm to 3:00pm Instrument Control
Sarah Kaiser
3:00pm to 3:30pm Coffee 3:00pm to 3:15pm Coffee
3:30pm to 5:00pm Python for Scientific Computing
Yuval Sanders
3:15pm to 4:00pm Interoperability
Chris Grande
4:00pm– Post-workshop social gathering



  • Tools for Scientific Computing 0

    • Learn what a shell is and how to interact with the command line
    • Install and learn about package managers
    • Install and explore two great examples of modern text editors
    • Install and set up Python for the following lectures
  • Tools for Scientific Computing 1

    • Secure shell (SSH) for remote and HPC computing
    • Version control with Git
  • Python for General Use

    • Introduction to the Python language via an interactive interpreter
    • Learn about types, indexing, functions, and classes in Python
    • Python 2 vs. 3
    • Stylistic guidelines for keeping collaborators happy (incl. future you)
    • Learn about coding interface called Jupyter Notebook
  • Python for Scientific Computing

    • Storing, representing, and manipulating tensors of numeric data with the NumPy and SciPy packages
    • R-style data analysis with the Pandas package
    • publication-quality plotting and with Matplotlib, and statistics plotting with Seaborn


  • Open Quantum Systems Simulation with QuTiP

    • Install and configure compilers for use with Python
    • Install QuTiP and learn how to represent quantum states, measurements, unitaries, and superoperators
    • Use QuTiP to examine properties of norms
    • See an example of unit testing in action
  • Data Analysis with QInfer

    • Estimate the bias of a classical coin
    • Learn how to use QInfer to perform:
      • quantum state tomography
      • phase estimation
      • randomized benchmarking
    • Specify custom models to use with QInfer
  • Instrument Control with InstrumentKit

    • Learn about unit support for calculations in Python via two packages (Quantities and Pint)
    • Go deeper into classes in Python and how they can be useful for designing interfaces to communicate to instruments
    • Design a driver for a demo instrument
  • Interoperability with Modern and Legacy Environments

    • Connecting Python to C, MATLAB, and Julia

Before the Workshop

Additional Resources


Cheatsheets and References

Blog Posts and Lecture Notes

Below, we list some blog posts and lecture notes that may be useful as references, or in digging deeper into the topics presented at the EPQIS workshop.


Licenses and Attributions

The Git logo by Jason Long is used under the Creative Commons BY 3.0 license.


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