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QCStudyGroup

QC Study Group Github Repository

Resources

Title Study Resources Contributor
QISKIT Book https://qiskit.org/textbook/preface.html
Quantum algorithms for NLP: LSA, QSFA and CA https://www.youtube.com/watch?v=d-Lfdfy-xw8
Awesome Quantum Machine Learning https://github.com/krishnakumarsekar/awesome-quantum-machine-learning (Thanks Ryan)
Quantum Logic and Probability Theory https://plato.stanford.edu/entries/qt-quantlog/ Ryan30
More Rigorous Overview of the Maths and Computer Science behind the algorithms https://lapastillaroja.net/wp-content/uploads/2016/09/Intro_to_QC_Vol_1_Loceff.pdf
Michael A. Nielsen & Isaac L. Chuang, “Quantum Computation and Quantum Information” http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf
Noson S. Yanofsky & Mirco A. Mannucci, “Quantum Computing for Computer Scientist” https://www.mobt3ath.com/uplode/book/book-71712.pdf
Abhijith J., et al., “Quantum Algorithm Implementations for Beginners” https://arxiv.org/pdf/1804.03719.pdf
Professor Vazirani's Video https://www.youtube.com/channel/UCq9B8tT3oXl8BSyaoBPQXQw/playlists
Guest Speaker Scott Aaronson, "Quantum Computing Since Democritus" https://github.com/dmvaldman/library/blob/master/computer%20science/Aaronson%20-%20Quantum%20Computing%20Since%20Democritus.pdf

Add to this list as you see fit.

My technique for learning. Watch a video on the topic I'm interested on, and do a deep dive if I dont understand something, until I'm satisfyed with my knowledge, then resurface and continue. Sometimes this can turn into as little as one slide or a couple of minutes of watching a segment of the video and a couple of days of filling in background knowledge.

General

For code editing I'll try to add juypter notebooks, but will use vscode for editing things like readme's and gitignore etc.,.

If you wish to contribute on the markdown (this file), feel free to do so. I recommend a markdown previewer such as Markdown Preview Enhanced if you're using vscode.

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