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 13 Afterword: The Future of Quantum Computing
I am not throwing away my shot! — Alexander Hamilton
This has been a long and (hopefully) interesting journey. In the 12 chapters of this book, we’ve covered a lot of topics on quantum computing, both from a theoretical and a practical point of view, so maybe it’s time to take a look back and see what we have learned.
We started by laying the foundations. We studied the most important mathematical concepts underlying the theory of quantum computing, including how information is stored on qubits, how we can transform their states with quantum gates, and how we can obtain results by measuring them. Then, we explored some of the software tools currently available to implement quantum algorithms, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.