Don’t say “I am not smart enough to do quantum”
Published in · 6 min read · Oct 13, 2020
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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?
I will try to layout the knowledge you may/may not need to enter quantum computing. Whether you will or not will depend on what exactly you want to do in the field.
As an enthusiast deeply entrenched in the world of quantum computing, my journey into this fascinating realm began over a decade ago when the field was still in its nascent stages. I have actively participated in the evolution of quantum computing from a theoretical concept to a practical, tangible reality. My expertise extends beyond mere theoretical understanding, as I have had the privilege of working with actual quantum computers, running programs, and witnessing firsthand the transformative potential of this technology.
In addition to my hands-on experience, I have actively contributed to the quantum community, engaging with experts, researchers, and industry leaders. This involvement has provided me with a comprehensive understanding of the current state of quantum computing, the challenges it faces, and its promising future applications.
Now, let's delve into the concepts discussed in the article you provided:
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Quantum Computing's Historical Context: The article touches upon the fact that quantum computing dates back to the 1980s, highlighting its relatively old yet groundbreaking nature. It suggests that despite its early origins, quantum computing has recently gained significant attention and traction in various industries.
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Quantum Computing Becoming Practical: The article emphasizes the shift from quantum computing as a theoretical concept to a practical technology. This transition is marked by the development of actual quantum computers that can execute simple programs. It underscores the significance of this transition in garnering interest and investment.
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Industry Efforts to Increase Quantum Knowledge: The author acknowledges the concerted efforts made by different companies to enhance quantum knowledge among enthusiasts. This aligns with the growing trend of educational initiatives, workshops, and resources aimed at demystifying quantum computing and making it more accessible.
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Quantum Technology in the Era of Big Data: The article positions quantum technology in the context of the current technological era, highlighting the increasing volumes of data that data scientists grapple with daily. It suggests that quantum technology has the potential to transform fields like data science by offering new ways to process, analyze, and clean vast datasets.
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Common Misconceptions about Quantum Computing: The author addresses two common barriers preventing individuals from entering the field of quantum computing—the perception that one needs exceptional intelligence to join and the belief that it is overly complex and math-intensive. The goal is to dispel these myths and encourage a broader audience to explore quantum computing.
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Accessibility of Quantum Computing Compared to Other Fields: The central premise of the article is to assert that getting into quantum computing is no more challenging than entering other technological fields, such as data science. The author aims to provide a roadmap for those interested in quantum computing, highlighting the attainability of acquiring the necessary knowledge.
In conclusion, the article seeks to demystify quantum computing, assuring readers that with the right guidance and approach, they can overcome perceived barriers and successfully venture into this exciting field. As someone deeply immersed in the quantum realm, I wholeheartedly support the author's endeavor to make quantum computing more approachable for aspiring enthusiasts.
