Future of Quantum Computing
Quantum computing is in our future and it will change the way we do things in big ways. It is not yet completely understood what quantum computing can exactly bring us, but there are some ideas based on scientific research. One thing is for sure, the experts are excited to be working on quantum computing and to see what it is bringing to the next generation.
What is Quantum Computing?
Quantum computing studies theoretical computation systems (quantum computers) that make direct use of quantum-mechanicalphenomena, such as superposition and entanglement, to perform operations on data.[1] Quantum computers are different from binarydigital electronic computers based on transistors. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation is analog and uses quantum bits, which can be in an infinite number of superpositions of states. A quantum Turing machine is a theoretical model of such a computer, and is also known as the universal quantum computer. Quantum computers share theoretical similarities with non-deterministic and probabilistic computers. The field of quantum computing was initiated by the work of Paul Benioff[2] and Yuri Manin in 1980,[3] Richard Feynman in 1982,[4] and David Deutsch in 1985.[5] A quantum computer with spins as quantum bits was also formulated for use as a quantum space–time in 1968.[6]
As of 2016, the development of actual quantum computers is still in its infancy, but experiments have been carried out in which quantum computational operations were executed on a very small number of quantum bits.[7] Both practical and theoretical research continues, and many national governments and military agencies are funding quantum computing research in an effort to develop quantum computers for civilian, business, trade, environmental and national security purposes, such as cryptanalysis.[8]
Large-scale quantum computers would theoretically be able to solve certain problems much more quickly than any classical computers that use even the best currently known algorithms, like integer factorization using Shor's algorithm or the simulation of quantum many-body systems. There exist quantum algorithms, such as Simon's algorithm, that run faster than any possible probabilistic classical algorithm.[9] Given sufficient computational resources, a classical computer could in theory simulate any quantum algorithm, as quantum computation does not violate the Church–Turing thesis.[10]:202 On the other hand, quantum computers may be able to efficiently solve problems which are not practically feasible on classical computers.
As of 2016, the development of actual quantum computers is still in its infancy, but experiments have been carried out in which quantum computational operations were executed on a very small number of quantum bits.[7] Both practical and theoretical research continues, and many national governments and military agencies are funding quantum computing research in an effort to develop quantum computers for civilian, business, trade, environmental and national security purposes, such as cryptanalysis.[8]
Large-scale quantum computers would theoretically be able to solve certain problems much more quickly than any classical computers that use even the best currently known algorithms, like integer factorization using Shor's algorithm or the simulation of quantum many-body systems. There exist quantum algorithms, such as Simon's algorithm, that run faster than any possible probabilistic classical algorithm.[9] Given sufficient computational resources, a classical computer could in theory simulate any quantum algorithm, as quantum computation does not violate the Church–Turing thesis.[10]:202 On the other hand, quantum computers may be able to efficiently solve problems which are not practically feasible on classical computers.
Military and Security
Quantum computers can go through large amounts of data in a fraction of the time that regular computers can. For example, satellites collect videos and images but not all of that data can be stored. Much of this data is thrown out because the computers cannot just handle it or do not recognize things that they should. Quantum computers, on the other hand, are much better at facial recognition or picking out small details in busy scenes.
Encryption is another area quantum computers will change. Encryption is everywhere, such as each time we use a credit card or send an email. Yet, it is not a failsafe method because accounts still get hacked and companies lose millions of dollars. Quantum computers use a different type of communication called quantum key distribution. It is much more secure.
Encryption is another area quantum computers will change. Encryption is everywhere, such as each time we use a credit card or send an email. Yet, it is not a failsafe method because accounts still get hacked and companies lose millions of dollars. Quantum computers use a different type of communication called quantum key distribution. It is much more secure.
Automation and Learning
Quantum computers can learn from experience, they have artificial intelligence. If they make a mistake they can also correct it. This method could actually have quantum computer improving quantum computers. It could leave to very advanced forms of artificial intelligence and even humanoid robots. There are so many different possibilities in this area it is hard to fathom all of them.