March 2023
Intermediate to advanced
680 pages
13h 44m
English
book
A Practical Guide to Quantum Machine Learning and Quantum Optimization
by Elías F. Combarro, Samuel González-Castillo
Content preview from A Practical Guide to Quantum Machine Learning and Quantum Optimization
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Chapter 3 Working with Quadratic Unconstrained Binary Optimization Problems
The universe cannot be read until we have learned the language and become familiar with the characters in which it is written. — Galileo Galilei
Starting with this chapter, we will be studying different algorithms that have been proposed to solve optimization problems with quantum computers. We will work both with quantum annealers and with computers that implement the quantum circuit model. We will use methods such as the Quantum Approximate Optimization Algorithm (QAOA), Grover’s Adaptive Search (GAS), and the Variational Quantum Eigensolver (VQE). We will also learn how to adapt these algorithms to different types of problems, and how to run them on simulators and ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.