Quantum Computing Explained A Brief Overview Homework Minutes

Quantum Computing Explained: A Brief Overview | Homework Minutes

Quantum Computing explained as computers that implement the latest technology of quantum computations. The computing started in the early 1980s; physicist Paul Benioff presents the Turing machine of models. Richard Feynman and Yuri Manin said that a quantum computer could replicate the things that an ordinary computer could not. Most researchers think that quantum computing is still far away. 

 

But in 1998, Neil Gershenfeld, Mark Kubinec, and Isaac Chuang invented the first quantum computer(2-qubit). It can fill with data and take out answers to every problem. 

 

In recent years, quantum computing research has increased in both the private and public sectors. On 23rd, Google AI declared quantum computation impossible to compete with any ordinary computer.

 

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Explanation of Quantum Computing

Quantum computing explained as computing concentrating on developing computer technology. It establishes the principle of quantum theory, and it describes the actions of energy and the data on the atomic and subatomic levels. Ordinary computers that we used daily can only convert the information in bits that grab the value of 1 or 0; this controls their capability. 

 

But in quantum computing, they apply quantum bits or qubits. It tackles the distinctive ability of subatomic participles that grants them to manage more than one state, i.e., 1 or 0, simultaneously.

 

Several quantum computing systems are the quantum circuit model, etc. The most used model is the quantum circuit model. A quantum circuit is a form of quantum bit or qubit, comparable to classical computation. Quantum states could be 0 or 1 in qubits.

 

On the other hand, whenever we measure qubits, the measurement results are always besides 0 or 1. The possibilities of these two outcomes are related to the quantum state that the qubits were instantly previous to the measure. 

 

Quantum computer’s center of attraction is transmons, ion traps, creating high-quality qubits. These qubits may plot differently and contingent upon the quantum computer’s computing model. It can be either adiabatic quantum computations, quantum annealing, or quantum logic gates.

 

How does quantum computing work

Quantum computers carry out calculations based on the possibility of an object’s state instead of 1s or 0s. It can process exponentially increased numbers of data in comparison to ordinary computers.

 

Ordinary computers take out proper operations using a correct point of a physical state. They are mainly binary because their operations are rooted in one or two positions. A Single state like up and down, 1 or 0, is known as bit.

 

In quantum computing, operations are instead used as the quantum state of a device to create qubit. These states have unspecified characteristics of an object before they must disclose. It is like the polarization of a photon or the spin of an electron. 

 

Alternately having a clear point quantum state in a mixed superposition, not like a coin revolved in the air earlier it lands in your hand. This can intertwine with other objects, which means that even if we don’t know what they are, their outcome is always mathematical.

 

The complicated mathematics of intertwined ‘coin revolving’ can promote a particular algorithm. It is to develop small work of problems that take more time to work out in ordinary computers if we ever calculate it. Such algorithms help us to solve complicated mathematics.

 

Advantages of quantum computing

Quantum computers can complete every task that ordinary computers can’t, and IBM theory also proved it. If we work on a quantum computer using classical algorithms, it will also work like a regular computer. However, if we want to see the superiority of quantum computers, we have to use quantum algorithms, which can show quantum parallelism.

 

According to quantum computing news, using this algorithm is not an easy task because it takes a lot of time. The most famous algorithm is the quantum factorization algorithm invented by Peter Shor of AT&T Bell Laboratories. This algorithm helps us to handle the problem of factorization of more significant numbers into prime factors. 

 

If we do this on an ordinary computer, it takes a lot of time, or maybe it is impossible. Shor’s algorithm perfectly fits in the quantum parallelism to take out the correct answer of prime factorization. Still, if we use it on an ordinary computer, it will take so much time to resolve or sometimes impossible.