Quantum machine learning -- lecture notes
Bojan \v{Z}unkovi\v{c}
TL;DR
This paper provides an overview of quantum machine learning concepts tailored for computer scientists, covering foundational principles and potential applications in the field.
Contribution
It offers a comprehensive introduction to quantum machine learning, highlighting key algorithms and theoretical foundations for computer scientists.
Findings
Summarizes quantum algorithms relevant to machine learning
Highlights potential advantages of quantum over classical methods
Provides educational material for researchers entering the field
Abstract
Lecture notes on quantum machine learning for computer scientists.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum Information and Cryptography