Quantum Computing

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 Quantum Computing 


 Quantum computing is a vicinity of reckoning focused on developing computer technology based on the principles of quantum physics. Quantum physics is one among the foremost winning series of contemporary science describing the way our world works at the foremost elementary level. Quantum computing has become one of the most leading applications of quantum physics. Quantum computers can solve some of the world’s impenetrable problems that are beyond the reach of even today’s most efficient supercomputers.
We can assume that quantum computers are not going to replace classical computers but they are a radically different way of operation that enables them to perform calculations that classical computers cannot.

Let’s see how they differ:

Classical computers encode the information in bits and each bit can represent 0 or 1 that ultimately translate into computer functions to perform simple calculations.

Unlike classical computers, quantum computers encode information in the form of Qubits.

Qubits undergo two major key principles in quantum physics:

1. Superposition.

2. Entanglement.


-> Superposition implies that each qubit can represent 0 or 1 and both at the same time simultaneously.

-> Entanglement occurs when two qubits in a superposition have corresponded with one another. It completely states that it depends on the character of another state.

-> Using these two principles qubits can act as a way more advanced version of quantum computing to resolve different problems that are virtually impossible to unravel using classical computers.
Quantum computers can process massive and complicated datasets more efficiently than classical computers.
They use the basics of quantum physics to hurry up the method of solving complex computations. Often those computations embrace a seemingly unlimited number of variables, and also the potential applications span industries from genomics to finance.
Quantum computers are already reinventing aspects of cybersecurity through their ability to interrupt codes and encrypt electronic communications. a number of the largest players in tech — including Google, Microsoft, Intel, IBM, and Alibaba — are exploring quantum computing for better cybersecurity and more, an indication that the subsequent big computing race is already underway.
While Google has been exploring quantum computing for ultra-fast internet search since a minimum of 2009, it remains to be seen who will emerge because of the leader within the emerging commercial quantum computing industry.
Further, we dive more into what quantum computing is, the advantages related to the technology, its applications, and industry players to observe.

Types of quantum computing:

Quantum computing is majorly divided into 3 types :

-> Quantum Annealing

-> Quantum Simulations

-> Universal Quantum computing

1. Quantum Annealing:


Quantum annealing is best for solving optimization problems. Researchers are trying to find the most efficient possible configuration among many possible combinations of fusible variables. Annealing is considered to be added advantage to computers to find optimal solutions with less span of time and efficient solutions. Many industries are in search of Quantum Annealing for digital modelling and material sciences. Quantum annealing is the least powerful and most narrowly applied form of quantum computing.

2. Quantum simulations :


Quantum simulations traverse specific complications in quantum physics that are beyond the capacity of classical systems. Simulating complex quantum occurrences may lead to solicitation of quantum computing. Quantum chemistry is the field where these quantum simulation comes into picture with various large number of sub-atomic particles.
Protein folding simulation is the most prominent implementation of quantum simulations which is considered as one of biochemistry’s toughest problems.
Quantum computers are assessed by means of large number of feasible protein folding sequences for more productive medications. In the future quantum simulations can be upheaved in the development of rapid drug testing with protein-to-drug combination with the help of accountability.
3. Universal Quantum computing:



Universal quantum computers are considered to be most powerful and generally applicable, but also the toughest ones to build. A truly universal quantum computer would likely make use of over 100,000 qubits — some estimates put it at 1M qubits. Remember that today, the most qubits we can access is not even 128.The basic concept behind universal quantum computing is its capable of directing the machines at any massive complex computation to acquire rapid solutions. Universal quantum computing is accomplished and feasible in solving the aforementioned annealing equations, simulating quantum phenomena, and more.
Various algorithms are being designed and implemented to visualize the universal quantum computing.
Some of the basic algorithms designed to represent universal quantum computers in the past few years:

-> The most well-known algorithms are Shor’s algorithm for factoring numbers (to be used for advanced code breaking), and Grover’s algorithm for quickly searching unstructured and massive sets of data (to be used for advanced internet search, etc).

-> Quantum AI could enable machine learning that is faster than that of classical computers.

Applications of Quantum Computing:

1. Health care

-> Comparison of DNA samples rapidly.

2. Financial services

-> predicts and eliminates the blind spots and reduce the impact of losses .

3. Cyber security

-> encryption of the data from being hacked.

4. Agriculture

-> It has the ability to produce efficient fertilizers with environmental safety measures.

5. Cloud computing

-> providing cloud storages at very low costs.

Conclusion :

We finally conclude that quantum computing is considered as a revolutionary change to the world with its numerous applications and implementations.

Thank you…

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