Quantum Computing

What is Quantum Computing

Quantum computing is the process of using quantum mechanics to solve complex and massive processes quickly and efficiently. Since classical computers are used to perform classical arithmetic operations, similarly, a quantum computer is used to perform quantum computations. Quantum computations are so complex that they are nearly impossible to solve using classical computers. The word “quantum” is derived from the concept of the quantum mechanics in physics that describes the physical properties of the nature of electrons and photons. Quantum is the basic framework for describing and understanding nature in depth. Thus, this is why quantum computations deal with complexity. Quantum computing is a subfield of the quantum information science. Describes the best way to handle a complex arithmetic operation. Quantum mechanics is based on the phenomena of superposition and entanglement, which are used to perform quantum computations.

The History of Quantum Computing

In the early 1980s, Paul Benioff (physicist) proposed a quantum mechanical model of the Turing machine. Since then, the concept of quantum computing has emerged. Later, it was suggested that a quantum computer could simulate those things that a classical computer could not. The proposal was made by Richard Feynman and Yuri Manin. Peter Schorr developed a quantum algorithm in 1994 to analyze integers. The algorithm was powerful enough to decrypt RSA-encrypted communications. More research is still underway in the field of quantum computing. On October 23, 2019, Google AI, in partnership with NASA (National Aeronautics and Space Administration), United States, published a paper in which they claimed to have achieved quantum supremacy. Although some of them have disputed this claim, it is still an important milestone in history.

Quantum Computing Applications

There are the following applications of the quantum computing:

Cyber Security:

Personal information is stored in computers in the current era of digitalization. Therefore, we need a very robust cyber security system to protect data from theft. Traditional computers are good enough for cyber security, but weak threats and attacks weaken them. Scientists are working with quantum computers in this area. It was also found that it is possible to develop several technologies to deal with cyber security threats through machine learning.


It is also a field of security where quantum computers help develop encryption methods to safely deliver packets to the network. The creation of these encryption methods is known as quantum cryptography.

Weather Forecasting:

Sometimes the analysis process becomes too long to predict the weather using classic computers. On the other hand, quantum computers have enhanced the ability to analyze, recognize patterns, and predict weather in a short period and with better accuracy. Even quantum systems are able to predict more detailed climate models with the perfect timings.

Artificial Intelligence and Machine Learning:

Artificial intelligence is becoming an emerging field for digitization. Many tools, applications, and features are developed via AI and ML. As the days go by, many applications are being developed. As a result, it has challenged classic systems to match accuracy and speed. But, quantum computers can help tackle such complex problems in less time as it would take a classical computer hundreds of years to solve these problems.

Drug design and development:

Drug design and development is an exemplary work to be done. That’s because drug development relies on a trial-and-error approach, which is an expensive as well as risky task. It’s also a challenging task for quantum computers, too. The researcher hopes and believes that quantum computing can become an effective way to learn about drugs and their reactions to humans. One day quantum computing will be able to successfully develop drugs, it will save a lot of time and money for the pharmaceutical industries. Also, more drug discoveries can be made with better outcomes for the pharmaceutical industries.

Financial Marketing:

The finance industry can only survive in the market if it delivers fruitful results to its clients. Such industries need unique and effective strategies for growth. Although Monte Carlo simulation technology is used in traditional computers, it is very time consuming on the computer. However, if such complex calculations are performed by a quantum system, it will improve the quality of solutions and reduce development time.

Computational chemistry:

The superposition and entanglement properties of a quantum computer may provide machine superpowers to successfully map molecules. As a result, it opens up many opportunities in pharmaceutical research. More serious problems a quantum computer can deal with include creating a room-temperature superconductor, creating ammonia-based fertilizer, creating solid batteries, removing carbon dioxide (CO2) for a better climate, etc. Quantum computing will be the most prominent in the field of the computational chemistry.

Logistics Optimization:

Traditional computing is used to improve data analysis and robust modeling by enabling various industries to optimize their logistics and scheduling workflows associated with managing their supply chain. These operating models are constantly running calculations and recalculations to find optimal paths for fleet operations, air traffic control and traffic management. Some of these operations can become complex and difficult to solve on classic computers. Thus, the quantum computing can become an ideal computing solution to solve such complex problems.

In quantum computing, two methods are used, namely:

  • Quantum annealing: It is an advanced optimization technology that can bypass traditional computers.
  • Universal quantum computers: capable of finding solutions to all kinds of computational problems. But such a quantum system would take time to be commercially available. Hopefully the researchers will work on improving the system.



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