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Quantum computing

Since, the dawn of time humans are interested in achieving something bigger something that blows their mind with the crazy massive magnitudes. With this in mind they made great achievements they created rockets that can carry humans to moon (now on mars), Hubble telescope, massive ships tanks and missiles. But now "small" is the next big thing, and our hero 'QUIBITS' is here to save the day. We'll look at the history of quantum computing before getting into QUBITS.


Richard Feynman and Yuri Manin hypothesized quantum computers in the 1980s. The idea for quantum computing came from what was formerly considered one of physics' biggest embarrassments: remarkable scientific progress met with an inability to simulate even simple systems. Richard Feynman addressed the following problem at MIT in 1981: conventional computers cannot efficiently model the development of quantum systems. As a result, he suggested a fundamental model for a quantum computer capable of doing such simulations. He outlined the prospect of massively outpacing traditional computers with this. However, it took more than a decade for the Shor algorithm, a unique method, to shift people's minds about quantum computing.


In quantum computing, qubits are the size units that function in the same way that bits do in a traditional computer. It is usually thought of as having two states: yes/no or true/false mechanisms as its value. In quantum mechanics, the orbit level measurement is taken into account, and so all values are taken into account in the system (As it incorporates quantum mechanics, you might find it difficult to understand, be on track;). Bits are the smallest unit of computer data, containing all of the information. Bits are commonly employed in groupings called bytes and are classed as yes/no or true/false.

Why Quantum computers when we have Super-computers?

Before getting into working of quantum computer we will see how important is Quantum computing.

Brief overview on working of quantum computer

Traditional computer processors run in binary, which means that the billions of transistors that process data on your laptop or smartphone are either on or off. Computers execute logical processes depending on the state of switches using a sequence of circuits known as "gates." .

Traditional computers are programmed to follow rigid rules. This makes them incredibly dependable, but it also makes them unsuitable for solving some types of problems, such as those involving finding a needle in a haystack.

Instead of merely 1s or 0s, quantum computers execute computations based on the likelihood of an object's condition before it is measured. Unmeasured quantum states exist in a mixed state called 'superposition' rather than having a definite position, similar to a coin spinning through the air before landing in your hand this is called Quantum superposition in Quantum mechanics. These superpositions can get entangled with those of other things, implying that their eventual outcomes will be mathematically connected this phenomenon is called Quantum entanglement, even though we don't know what they are yet. The complicated mathematics underpinning these unsettled states of entangled 'spinning coins' may be input into unique algorithms to solve issues that would take a traditional computer a long time to solve may be years or they just can't solve them. These algorithms might be used to solve complicated mathematical problems and generate difficult-to-crack security codes.

Big Tech companies using Quantum Computing

IBM’s full quantum stack allows to fully explore quantum solutions at unmatched fidelity and scale. They are in production scale and offer business solutions through their Quantum systems.

New technology and there is no name of google it can’t happen, they too built quantum computers and they are pretty good at it. Google recently achieved “Quantum Supremacy” in Quantum computing filed that is another major milestone in entire quantum computing filed.


From above points we can say that there is a growing need for computational resources and this need can be fulfilled with quantum computers. Quantum computers are now being heavily used in finding protein structure which helps scientists in analyzing and discovering new drugs. They are exceptionally good at calculation usually combinatorics problems (everyone’s favorite “travel-salesman problem” and problems similar to it) and yet they are not good at solving some problems. And at the end I will say that we have to adopt ourselves to the change in nature and we must welcome the change.