We give below some useful links related to quantum computing
Online Lectures and presentations
- A practical introduction to quantum computing, lectures 1, 2, 3, 4, 5, 6, 7 by the CERN OpenLab Quantum Technology Initiative, with hands-on (Qiskit, IBM Quantum Experience). The video recordings are available on youtube ( 1, 2, 3, 4, 5, 6, 7).
Tutorials
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Quantum computing: an applied approach, exercice of the book of Jack Hidary (on github).
Books
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Quantum Computation and Quantum Information: 10th Anniversary Edition, Michael A. Nielsen et Isaac L. Chuang, Cambridge University Press (2010). A very complete book on quantum computing and quantum information.
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Principles of Quantum Computation and Information, Giuliano Benenti, Giulio Casati and Giuliano Strini, World Scientific (2004, two volumes: 1. Basic Concepts, 2. Basic Tools and Special Topics).
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The Theory of Quantum Information, John Watrous, web site and pdf (2018).
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A First Introduction to Quantum Computing and Information, Bernard Zygelman, Springer International Publishing (2018).
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Quantum Computing Explained, David McMahon, Wiley - IEEE (2008).
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A Primer on Quantum Computing, Franklin de Lima Marquezino, Renato Portugal, et al., Springer Nature Switzerland (2019).
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An Introduction to Quantum Computing, Phillip Kaye , Raymond Laflamme, OUP Oxford (2006).
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Quantum Machine Learning: What Quantum Computing Means to Data Mining, P. Wittek, Academic Press, New York, NY, USA (2014).
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A Short Introduction to Quantum Information and Quantum Computation, M. Le Bellac, Cambridge University Press (2006).
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Supervised Learning with Quantum Computers, M. Schuld and F. Petruccione, Springer (2018).
Thesis
- Implementation of a quantum bit in a superconducting circuit, Audrey Cottet (Quantronics group, 2002), pdf.
Specific Review articles related to the QC2I project
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Reviews on IN2P3 topics
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white book on Opportunities for Nuclear Physics & Quantum Information Science, Ian C. Cloët, et al., arXiv:1903.05453.
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Selected topics of quantum computing for nuclear physics, Dan-Bo Zhang et al.
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Many-Body problem
- Quantum computational chemistry, Sam McArdle et al., Rev. Mod. Phys. 92, 015003 (2020).
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Quantum Machine Learning
- Recent advances in quantum machine learning, Yao Zhang and Qiang Ni, Quantum Engineering 2, e34 (2020).