Getting Started With Quantum Computing Is Surprisingly Easy

Don’t let yourself be scared away!

Today, I try something new. Actually, it is not new. It is something classical computers taught us very well.

I am talking about rebooting. Whenever something doesn’t work as we expect it, we reboot.

However, I am not rebooting because something doesn’t work. Instead, I rather take the Hollywood approach. Take Star Trek or the Marvel Universe, for instance. They retell the stories of their main characters over and over again.

They might do it to increase sales. That’s not entirely unfair to do—because they also invest a lot in these productions. But, another reason to reboot is the artistic aspect. In the original story, the heroes took a specific path. They made decisions that paved their way.

But what if they took a different path?

Wouldn’t that make a worthwhile story, too?

The point is that we don’t have to stop one storyline when starting another. We can tell them both.

Of course, Hollywood is all about entertainment. I'm not that far off with my blog posts. I want to convey education in an entertaining way. And of course, there are different tastes in entertainment and education.

So, I will use a reboot to explain the concepts of quantum computing and quantum machine learning in a different way than I did before. Thus far, I always emphasized you don’t need to be a mathematician or a physicist to understand quantum machine learning. So, I tried to explain the underlying math in an appropriate way.

Don’t worry! I will continue doing that. For example, the second volume of Hands-On Quantum Machine Learning With Python: Combinatorial Optimization goes through everything you need to understand how to solve optimization problems with a quantum computer using the Variational Quantum Eigensolver. This includes all the math and physics—explained in an accessible manner.

By the way, in the book, we work with Kaggle’s Marvel Universe dataset. Just mentioning it so that you know how I came across rebooting.

It is not too late to join the Early Access Program. More than 80 pages are already waiting for you!

However, I asked myself whether it was possible to teach quantum computing without math and physics at all. What if I skipped equations and physical phenomena altogether?

And that’s what my reboot is about. In today’s Medium post, we start slowly with a little bit of personal background and the qubit.

Read “Getting Started With Quantum Computing Is Surprisingly Easy“.

I hope you enjoy this new perspective on quantum computing—even if you've been following my weekly blog for two years now and are thus already a seasoned practitioner of quantum machine learning.

If you are rather new to quantum computing and quantum machine learning, you can now save 10% by buying the eBook bundle. It contains the complete Volume 1 and the Early Access of Volume 2.

You're interested in quantum computing and machine learning...

...But you don't know how to get started?