Here are some of the most useful books for learning quantum programming and quantum machine learning.
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It will be the one using the Python language and Google's cirq and IBM's qiskit.
I wanted to do AI, quantum computing, and braintech.
The field where AI, quantum, and brains overlap was called quantum neural networks.
The book also describes quantum neural networks.
I think the following are important in the books you learn as an engineer.
The book will meet all of these requirements.
Conclusion
Conclusion is "Quantum Machine Learning with Python"
Contents
Chapter 1
It contains basic information about quantum computing.
It can be brackets or gate calculations.
Chapter 2
It is written about the mathematical foundations of quantum computers.
Linear algebra is the main.
Chapter 3
It is the basis of quantum algorithms.
Bell states, quantum teleportation, Deutsch-Josa algorithm, Simon's algorithm, Grover's algorithm, etc.
Chapter 4
It is a quantum Fourier transform.
Chapter 5
Finally, in the field of quantum machine learning.
We will use the HHL algorithm as the first machine learning.
Chapter 6
Deep learning, deep learning.
The main method is the quantum classical hybrid, but is it already old?
Chapter 7
Optimization. Ising model, QAOA, etc.
Tighten
The easiest thing to get started with quantum computing is
Chemistry or
Cryptography or
Machine learning, etc.
There are many
I think it's machine learning after all.
Why don't you try an introduction to quantum programming?
I hope it will be helpful.
Thank you for reading.
・ Formulas are well written
・Exhaustive
・Practical source code is described.