The Best At Last
Hands-On Quantum Machine Learning With Python Volume 2: Combinatorial Optimization is Complete!
I just finished writing Hands-On Quantum Machine Learning With Python Volume 2: Combinatorial Optimization!
I completed 17 chapters with more than 400 pages. This is another 100 pages more than I send out in the previous early-bird version. So, there’s plenty to read during the holiday season.
Inside this book, you’ll learn everything you need about the Variational Quantum Eigensolver, the Quantum Approximate Optimization Algorithm, and how to use these algorithms to solve optimization problems.
But that’s enough with the marketing for today. As the holidays are approaching and the year is ending, I’d like to thank you for reading my weekly newsletter, your interest in quantum machine learning, and your support.
The past months were pretty exhausting. Even though I had a lot of fun writing the book, I must confess that such a project is a lot of work. The more I am happy (and a little proud) that I completed the book in 2022—as I promised in my Kickstarter campaign in August.
However, it is time for a little break now. I will put away my notebook, collapse my superposition state, and keep away from entangled particles over the holidays. But I’ll be happy to continue writing about quantum machine learning next year. In fact, I already think about writing the third volume. But, more on this later.
I wish you a Merry Christmas and a happy New Year 2023.
Don’t wait too long. I plan to release the full e-book soon. So, make sure you claim your copy at the reduced early-bird price.
Furthermore, if you haven’t yet claimed your copy of Volume 1, you can save 10% by buying the eBook bundle. It contains the complete Volume 1 and the Early Access of Volume 2.