How To Go From No Math to Quantum Machine Learning

Amira Abbas is living proof that one can go from basically no math to becoming a quantum machine learning researcher. In this video Amira offers specific resources she’s found helpful and also personal tips on the “Do’s and Don’ts” for any pursuing this exciting field.

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The Path to QML in Four Steps: 

— Math You Need — 

Essence of Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
MIT Linear Algebra Course: https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/

— Getting a Foundation of Machine Learning — 

(Book) Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://www.deeplearningbook.org

— Getting a Foundation in Quantum Computing — 

(Book) Quantum Computation and Quantum Information by Michael Nielsen and Isaac Chuang: http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf
EdX Courses: quantum Information Science Part 1-3: https://www.edx.org/course/quantum-information-science-i-part-1
Qiskit Textbook: https://qiskit.org/textbook

— Understanding QML — 

(Book) Supervised Learning with Quantum Computers by Maria Schuld and Francesco Petruccione: https://www.springer.com/gp/book/9783319964232

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