Big Data, AI, Machine Learning... Quantum Computing?

“A classical computation is like a solo voice—one line of pure tones succeeding each other. A quantum computation is like a symphony—many lines of tones interfering with one another.” ―  Seth Lloyd,  Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos

Let's admit it: We are all aware of Big Data, AI, and Machine Learning, and there is absolutely no need for me to give you any sort of definition/explanation for them in this article. So let's just skip along to an area of Technology which is still not as popular but drastically advancing - 'Quantum Computing'.

Quantum WHAT NOW?

When we talk about computers, we think about the regular computers, which process input in Binary, i.e., in the form of 0 or 1. So, they take inconveniently long to solve certain problems. A Quantum Computer, however, uses Superposition... So instead of taking only 0 or only 1, it has a third option of processing both 0 and 1 simultaneously (Schrodinger much?). This can reduce billions of years of calculations to just a few seconds, thanks to these 'quantum bits' or 'qubits'. The entire process is called 'Quantum Computing'.

Why Do Quantum Computers Matter?

Quantum Computers can process huge amounts of data in less time, with reduced energy consumption. The main intent is to use these computers for Optimisation, Integral Factorisation, and to improve Security and Encryption techniques (Yes, imagine a World where machines are completely un-hackable... Cool, right?)

Big Data, AI, Machine Learning, AND Quantum Computing?

Now that we know what Quantum Computers are, it becomes much easier to understand how it can be interlinked with BD, AI, and ML.

• Big Data can be analysed much more quickly and from several perspectives, with the help of a Quantum Computer, thus resulting in better and more accurate conclusions and inferences. This is absolutely beneficial in the areas of crime solving and personalised advertising schemes.
• AI would be at much higher levels of efficiency, due to the ability of Quantum Computers to process and analyse even more information than before, which makes them much more 'intelligent'. This would enable them to perform tasks like accurate weather forecasting and effective flight guiding.
• Machine Learning would also be at an all time high. Quantum Computers will be able to 'think' more complexly due to their ability to process more data from multiple angles. This is mostly useful in areas of recognition, of speech or of real world objects.

Quantum Computers are already in use, but they are not yet very common. They are extremely fragile, they require extra care, and they still contain a few errors here and there, and are hence still being worked on and improved. However, once the ideal Quantum Computer is successfully developed, it won't be long before it becomes widespread, for both personal and professional requirements, and very specially in the fields of Big Data, AI, and Machine Learning.