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Getting Started With Quantum Computing Is Surprisingly Easy
Don’t let yourself be scared away
Do you want to get started with Quantum Machine Learning? Have a look at Hands-On Quantum Machine Learning With Python.
Quantum computing promises to be the most disruptive technology of the 21st century.
It’s now up to you to set the course for whether this becomes a threat to your career or a once-in-a-lifetime opportunity to gain a competitive advantage.
Of course, quantum computing is nothing you learn in a day. But neither is learning how to program a classical computer.
Of course, the field of quantum computing is still in the process of evolving. But if you wait until it became mainstream, you’ve spoiled the opportunity of turning your knowledge into a competitive advantage. Instead, you’ll be urged to keep up to not be left behind. Then, it will become a threat.
Do you remember 2014? That year, breakthrough advances in deep neural networks changed the way we think of machine learning. Those who understood and mastered this technology back then were in the pole position for high-paying jobs. The clincher parallel was that artificial neural networks were not new in 2014, either. The idea dates back to the 1940s.
But in 2014, three factors finally unleashed AI on the world.
- Cheap parallel computing
- Vast amounts of data
- Algorithmic improvements
I learned about artificial neural networks in college in 2004. During my semester abroad at Victoria University of Wellington, New Zealand, I took a class on artificial intelligence. However, I lost track of it. Later, I dedicated myself to business informatics and writing my Ph.D. thesis on effort estimations.
So, even though I have always been fascinated by artificial intelligence, I missed being ready for the machine learning revolution. That’s not going to happen to me again.
