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Quantum Computers and the Revolution of Data Analysis

There is no doubt that the data is changing the way we work. By day we produce 2.5 exabytes of information (1018 bytes).

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There is no doubt that the data is changing the way we work. By day we produce 2.5 exabytes of information (1018 bytes). Quantum computing could help identify, collect, translate and analyze all of that data in a matter of seconds.

Everything has a limit and the computers as we know them today, although it seems that they are an endless storage and data processing sack, too. Today we produce the equivalent of information and documentation that hold 250,000 libraries or the content of five million laptops.

We are at the limits of the data processing power of traditional computers and, nevertheless, we continue to create and share information on the network. Contributing day by day to the expansion and growth of what we know as Big Data. But how is it possible to store so much information? Is there a technology capable of collecting and analyzing all this data? Yes, it exists, it is quantum computing.

More than 3.2 million users are connected to the Internet and share 9,722 pins on Pinterest, 347.222 tweets, Facebook 4.2 million, according to an article published in Forbes Bernard Marr. To this we must add the data we create when taking photographs, recording videos, saving documents, opening accounts in social networks, etc.

There is no doubt that the data is revolutionizing the way we work. It is increasingly common for companies to consider the data as a strategic asset that will survive and thrive.

The key is to identify what data needs are, what methods used to collect it and, most importantly, how to translate data into valuable information that will help the organization in making business decisions and performance.

Solve complex problems

Although the theory on how to build a quantum computer is clear none of the leading companies in the sector has ventured to take the first step to manufacture it. At the moment there are only prototypes that show that quantum computing is capable of solving complex problems in a matter of seconds.

When some of the great succeed in building a commercially viable quantum computer, these computers may be able to complete calculations so far with existing technology is virtually impossible.

Scientists know what programs they have to run or how they have to work. Even so, the problem is that to manufacture them they need very specific conditions. We still do not have the necessary technology to master the extraordinary phenomena that characterize quantum physics, hence the difficulty of building a quantum computer.

At the moment, only Google and NASA are investigating with D-Wave 2x possible applications of quantum computing in Artificial Intelligence and Machine Learning.

The key to success is to translate the problems of the real world into quantum language. The complexity and quantity of data we produce grows faster than computing resources. This is a problem for our IT tissue because while computers today are struggling or even can not solve some problems, the challenge is expected that the same problems are solved in seconds thanks to the power of quantum computing.

If there is something that can be benefited by the advances in quantum computing technology, these are Artificial Intelligence and Machine Learning. In fact, the algorithms of quantum computing already allow us to improve machine learning.

Due to the growth of data in such a short time, the architecture of the traditional computer has also been affected and requires the need for a different computational approach to handle all that large amount of information.

Therefore, another way in which quantum computing is a revolution is by its ability to sample data and optimize all kinds of problems that we find from the portfolio analysis to the best delivery routes and even help determine what is the optimal protocol of treatment and medicine for each patient.

Quantum computers are better equipped to solve sequential problems efficiently. You just have to think about the power that quantum computing would give to companies, even consumers, when it comes to making better and optimal decisions. This might be a good argument to convince companies to invest in this new technology when it becomes available.

Create patterns with Big Data, the challenge of quantum computing

It is expected that quantum computing will be able to detect sets of very large unclassified data and discover patterns or anomalies very quickly. In addition, it would be possible for quantum computers to access all the elements of several databases at the same time and identify similarities in a matter of seconds. This in theory is already possible with two computers in parallel checking all records one by one, which takes a long time.

Quantum computers could also help integrate data from different data sets. When quantum computers become a reality they will help integrate data from different data sets. This will not be possible without the intervention of the hand of man at least at the beginning. Human participation is key to helping and teaching computers to learn how to integrate data in the future. For example, if a research team wants to compare different data sources without connection, the computer would have to first understand the relationship between the schemas before comparing that data.

The rapid and effective analysis of large amounts of data, as well as their integration into processes that will improve and transform the learning of machines and the capabilities of Artificial Intelligence is getting closer, we just need some company in the industry technology of the step of manufacturing quantum computers.

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