Quantum Computing: Factors of Growth
In today’s era of information technology, the average data produced every day is about 2.5 exabytes. The data created on a daily basis where every minute billion of users create data through the banks, tweets, Facebook posts, pins on Pinterest, saving documents, taking pictures and videos and opening accounts. The data keeps growing day-by-day. The traditional computers do not have the power to process large data. The most prominent leaders in the industry are racing to be the first to launch quantum computer solutions to process big data. Such type of quantum computers will be more powerful and solve complex problems.
If the manufacturing of the quantum computer is successful, it is possible to complete calculations, which would take years to calculate in today’s computers, in a matter of seconds. The quantum computer manufacturing by Google will be 100 million times faster than the systems being used today. By translating the real-world problems into the quantum language, the speed can be maintained to solve critical problems. Today's computers are unable to solve some problems with quantum computing. Machine learning in a quantum computer with quantum computing algorithm will solve all complex problems within seconds.
Quantum computing will optimize issues encountered to delivery routes and help in the optimal treatments and medical protocols. The growth of big data has led to the change in computer architectures. A quantum computer must be designed in such a way where it can efficiently solve sequential problems and help customers to make better decisions.
Quantum computing will be programmed in such a way where quantum computers can access all the data from the database to identify patterns in seconds, which is only possible theoretically today. The increased speed through quantum computing cannot lead to the solution of solving computational problems. In the future, it is expected that quantum computers will facilitate the integration of different datasets, with improved machine learning. The scientists in the field expect that quantum computers will be more efficient shortly.