computer repair

Quantum computers:

Quantum computers are the exploitation and collective properties of quantum states; such as superposition and entanglement, to perform computation. The devices that perform quantum computations are known as quantum computers.

In 1998, ISAAC Chuang of the Los Alamos, national laboratory, Neil Gershenfeld of the Massachusetts Institute of Technology (MIT), and Mark Kubinec of the University of California of Berkeley created the first quantum computer (2-qubit) that could be loaded with data and output and solution.

By using quantum computers it has some disadvantages, due to which most of the companies are reluctant to repair quantum computers. Following are the disadvantages of quantum computers.

Algorithm creation

For every type of computation, it needs to write a new algorithm. Quantum computers cannot work as classical computers, they need special algorithms to perform tasks in their environment.

1.   The low temperature needed:

As the processing in those computers is done very deeply, it needs a temperature of negative 460 degrees F. this is the lowest temperature of the universe and it is very difficult to maintain that temperature.

2.   Not open for the public:

Due to the high range price they are not available for public use. Also, the errors in these types of computers are high because they are still in the development phase.

3.   Internet security:

It is assumed by scientists that if a quantum computer is implemented in the best way then whole internet security breaks. This is because these computers can decrypt all the codes on the internet.

Besides the four mentioned problems, there are also several challenges in building a large-scale quantum computer fabrication, verification, and architecture. The power of quantum computing comes from the ability to store a computer state in a single bit. This also makes quantum systems difficult to build, verify and design.

These are the main reasons which make quantum computers complex and complicated. Due to this complexity and complications in the operating system, most computer repair firms are reluctant to fix quantum computers.

 Working of Particles inside Quantum Computers

The particle can be in a superposition that represents every number from 1 to 2(1000) (about 10 300) and a quantum computer would manipulate all those numbers in parallel, for instance by hitting the particles with laser pulses.

When the particle states are measured at the end of the computation, however, all but one random version of the 10 300 parallel states vanish. Clever manipulation of the particles could nonetheless solve certain problems very rapidly, such as forcing large numbers.

Computer scientists categorize problems according to how much computational it would take to solve a large example of the problem using the best algorithm known. The problems are grouped into broad, overlapping classes based on their difficulty. Three of the most important classes are listed below. Contrary to myth, quantum computers are not known to be able to efficiently solve the very hard class called NP-complete problems.

·   P-problems:

One’s computers can solve efficiently in polynomial time, for example: given a road map showing an “n” town, can you get from any town to every other town? For a large value of “n” the number of steps a computer needs to solve this problem increases in proportion to n2, a polynomial. Because polynomials increase relatively slowly as “n” increases, computers can solve even very large “P” problems with a reasonable length of time.

·   NP-Problems:

Ones whose solutions are easy to verify. For example, you know an n-digit number is the product of two large prime numbers and you want to find those prime numbers. If you are given the factors you can verify that they are the answer in polynomial time by multiplying them. Even the “P” problem is also an “NP” problem so the class “NP” contains the class “P” within it.

·   NP- complete problem:

An efficient solution to one would provide an efficient solution to all up NP challenges. For example: given a map can you color it using only three colors so that no neighboring countries are the same color? If you had an algorithm to solve any other NP problem (such as the factoring problem above or determining if you can pack three boxes of various sizes into a trunk of a certain size) in about the same number of steps. In that sense, NP-complete problems are the hardest of the NP problems. No known algorithm can solve an NP-complete problem efficiently.

Lack of technology to implement it:

Moreover, the main disadvantage of quantum computing which makes it the least favorable for repair companies to fix a quantum computer is the technology required to implement a quantum computer is not available at present days, the minimum energy requirement for the quantum logical operations is five times that of classical computers.

By Anurag Rathod

Anurag Rathod is an Editor of Appclonescript.com, who is passionate for app-based startup solutions and on-demand business ideas. He believes in spreading tech trends. He is an avid reader and loves thinking out of the box to promote new technologies.