© 2024 by Damir Cavar
Created 2024 by Damir Cavar
Last change: 2026-03-29 by Damir Cavar
See for more details: Quantum AI Study Group
This repo contains the code, notes, links, and other material from the reading group on:
Quantum Computing and AI
Initial meetings started summer 2018 at Indiana University in Dr. Damir Cavar's lab.
The purpose of this repo and material is to share and promote educational material and examples for Quantum Algorithms and Computing, focusing on Machine Learning, Natural Language Processing, and AI.
- Qiskit 2.x material
- IBM Quantum course 'Basics of quantum information'
- Elías F. Combarro and Samuel González-Castillo (2025) A Practical Guide to Quantum Computing: Hands-on approach to quantum computing with Qiskit. Packt Publishing.
- Richard J. Lipton and Kenneth W. Regan (2014) Quantum Algorithms via Linear Algebra: A Primer. MIT Press.
- Eleanor G. Rieffel and Wolfgang H. Polak (2014) Quantum Computing: A Gentle Introduction. MIT Press.
Complementary literature:
- Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016) The Deep Learning. MIT Press.
- Dan Jurafsky and James H. Martin (2008) Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall; 2nd edition. (3rd ed. draft)
- Philip N. Klein (2013) Coding the Matrix: Linear Algebra Through Computer Science Applications. Newtonian Press.
- The IBM Quantum and Quantum Information Software Kit (QISKit)
- The Microsoft Quantum Computing pages (Windows, macOS, Linux)
List of Quantum Computing simulators:
A colleague pointed out that there was a workshop in May 2018 in DC with very interesting publications and tutorials linked on their site:
- Jonathan Fan
- Rob Ludwig
- Sai Shruthi Umakanth