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QC101 Quantum Computing and Introduction to Quantum Machine Learning

You're reading from   QC101 Quantum Computing and Introduction to Quantum Machine Learning Explore math-based quantum computing, cryptography, quantum ML and code with Python, Q#, and Qiskit

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Product type Video
Published in Nov 2019
Last Updated in Nov 2023
Publisher Packt
ISBN-13 9781838989934
Length 11hrs 52mins
Edition 1st Edition
Languages
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Author (1):
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Kumaresan Ramanathan Kumaresan Ramanathan
Author Profile Icon Kumaresan Ramanathan
Kumaresan Ramanathan
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Table of Contents (17) Chapters Close

1. Introduction FREE CHAPTER 2. Quantum Physics Through Photon Polarization 3. Math Foundation: Complex Numbers, Probability, Linear Algebra, and Logic 4. Quantum Cryptography 5. Developing a Math Model for Quantum Physics 6. Quantum Physics of Spin States 7. Modeling Quantum Spin States with Math 8. Reversible and Irreversible State Transformations 9. Multi-Qubit Systems 10. Entanglement 11. Understanding Superposition and Entanglement with Quantum Simulators 12. Quantum Computing Model 13. Quantum Programming with Microsoft Q# 14. IBM Quantum Experience 15. Quantum Programming and Algorithms with IBM Qiskit 16. Machine Learning Foundation 17. Quantum Machine Learning with Qiskit
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