Quantum computing has gained a lot of attention from both the industry and the media recently, despite its relatively old technology. Quantum computing first appeared in the 1980s. However, there are multiple reasons why the traction around this technology is rasing at the moment.
In recent years, quantum computing has been moving from just a pure theory into being something practical. Now, there are actual quantum computers built that you can run simple programs on.
Moreover, there has been much effort being put by different companies to increase quantum knowledge among the interested.
Today, we live in an era of technology; it’s all around us. As data scientists, we are faced with increasing amounts of data every day. This increase in the data to be processed, analyzed, and cleaned, opens up the door to how quantum technology can assist in transforming the field of data science and many other fields.
The problem now is, whenever a person in quantum computing asks another about why they won’t consider joining the filed, the answer is usually one of two things:
- I am **not **smart enough to join quantum.
- Or, it’s so **complex **and requires a lot of math I don’t know/ like.
In this article, I want to talk with you as a person who recently joined the field a little over two years ago. I want to show you that most concerns keeping you away from dipping your toes in the field of quantum computing are not really accurate.
I want to show exactly what you need to get into quantum computing. And I want to propose to you that getting into quantum computing is no more difficult than getting into data science or any other technological field.
So, what do you really need to know to start with quantum computing?
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