What is the difference between classic and quantum computing?

What is the difference between classic and quantum computing …? And how will it affect the future of computing and data science?

What is the difference between classic and quantum computing?
14 May 2020 - 05:53 - Update: 18 May 2020 - 10:45

Every day humans create more than 2.5 exabytes of data, and this number continues to grow with the increasing use of IoT and 5G communication technology. One of the catalysts of data management and analysis is machine learning and artificial intelligence. Still, with rapid and continuous innovation in technologies, data may become increasingly complex to collect and analyze with existing computers.

Classic computing:
It is well known that current computer devices store data in the system 0 or 1, one value is known as bits and is the smallest unit in the classical computer system and the sum of more than two values ​​known as bits.

The series of bits, together, is called a binary code. For example, the letter “A” in classic computing is stored in binary form with the Code 0100 0001, and the challenge in traditional computing is that only one calculation can be run at a time. Therefore, when there is a large group of data that need complicated mathematical operations, this negatively affects them and reduces their computing power.

Quantum computing:

Quantum computing works in a way that is different from the current computer devices by making use of the properties of atoms and individual molecules known as quantum mechanics, where it can store information and process it simultaneously in ways that are impossible to implement with the current computers devices. A quantum bit, or acronym, the smallest unit of a quantum computer system, can take many forms such as atoms, ions, photons, and even individual electrons that move in electrical circuits. Unlike the classic bits, the qubits can be 0 and 1 at the same time! Therefore, what you measure determines what the final result of the cube will be through the properties of superposition and quantum entanglement.

Multiple cases:

Thanks to the quantum superposition feature found in quantum physics, qubits can be in multiple states at the same time with a value of 0 and 1, for any combination of binary numbers. To simplify this concept, imagine that a quantum computer playing chess, through the overlay feature, would be able to analyze every possible move simultaneously from the other end, then choose the best. Unlike the current computer, which needs to analyze and make movements one by one.

Exponential power:
Another peculiar feature of the cube is called quantum entanglement, which is its ability to correlate even at vast distances – where there is no possibility of physical contact – and when two cube modules are connected together, they will share a similar state or value of either 1 or 0. Each cube added to the group will exponentially double the processing capabilities. A pair of qubits can embody four states, while three qubits represent eight states, but if the number of qubits is 300, it represents more cases than the number of atoms in the universe!

Turing machine:

In 1930, the British Alan Turing invented his device called the Turing machine, and he was credited with preparing the ground for the invention of the computer. Its components consist of an unlimited length tape divided into individual squares. Each of these squares has a value of 1 or 0. Then the tape is placed inside a device to read the data of the different squares, and then send the set of binary numbers to a machine that it performs one by one, in a similar way to what a computer or smartphone does, it takes one line of code every time and manipulates it.
But what if the Turing machine was given quantum computing capabilities? The individual squares will not only hold 1 or 0 but both at the same time! This allows the theoretical Turing device to perform an enormous amount of calculations simultaneously, in a way that makes it theoretically stronger than the most modern supercomputers today.

The most promising applications in quantum computing:
Dear reader, you may wonder about the impact that quantum computing can have on the future of data science. Here are the most promising applications that quantum computers will present.
Enhanced encryption
Because quantum computers and internal computers cannot be directly observed, measured, or copied, there are enormous potentials for a new era of quantum coding that could revolutionize how secure our digital data is.

Cipher is broken

On the other hand, quantum computing promises extensive capabilities to break all modern coding methods. Today’s cryptography relies on analyzing large binary numbers to its primary factors to keep cipher keys out of the hands of intruders. Still, the processing power of quantum computers enables them to efficiently compute these numbers, which breaks many of the cipher systems we see today.

System simulation

Quantum computers will also be great for studying the interaction of atoms and molecules with a subtle level of detail, which will allow us to develop new drugs and substances.
Solving complex problems
Because quantum computers can analyze a lot of data simultaneously, this makes it great for exploring very complex algorithms and data sets.

Modern medicine

Quantum computing can help develop cancer treatments by researching the secrets of proteins within DNA, which will allow the proteins to be modified entirely and modified as scientists currently do in genes.
Finally, with dual or classic computing approaching its performance limits, quantum computing has become one of the fastest-growing digital trends. It is expected to be the solution to the challenges of what is known as Big Data in the future. Although still in its infancy, the United States is planning to invest more than $ 1.2 billion Dollars in quantum computing over the next ten years in a global race to build the world’s best quantum technology.
 

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