Insights into Various Applications of Quantum Computing

Quantum Computing

The discussions involving quantum computing feels no less like a quantum leap into a sci-fi realm. These days the transistors in computers are as small as we can make them with existing technology. So, innovators started finding possible solutions at the subatomic and atomic level in a field recognised as the quantum computing.

The major players in every industry are racing to develop and launch a suitable quantum computer and make it available commercially. Now’s let’s elaborate on some of the applications of quantum computing.

  1. Data analytics

Quantum mechanics and quantum computing can aid in resolving problems on a huge scale. An area of study identified as topological analysis where geometric shapes behave in a certain ways, defines computations that are impossible to carry out by today’s conventional computers owing to the data set used. With quantum computing this can be summed up to relatively simple calculations. 

NASA is already using quantum computing for evaluating the enormous amount of data they gather about the universe as a whole. They’re implementing this technology to also research better and safer methods of space travel. 

  • More accurate climate change predictions and weather forecasting

Even with the advanced tools, weather forecasting still relies majorly on guesswork, observe the experts from instant  all assignment help online service. Just ask anyone who’s been caught in a storm with no warning or prepared for a blizzard but only saw flurries.

Since quantum computers are built to assess all the data at once, meteorologists will have a clearer idea of when bad weather will strike to alert people and government to take measures as well.

It’s also possible to gain detailed insight into how our climate is affected as quantum computers help build better climate models. The sooner we are acquainted how things are expected to shift, the better we’ll be able to prepare and reverse the climate change and its impact.

  • Self-driving cars

Automobile companies like Tesla and tech companies like Google and Apple are actively manufacturing driverless cars. Not only will these enhance the standard of living for most people, but also minimise pollution, reduce congestion and present a bunch of other benefits. 

Presently Google and Volkswagen are using quantum computers develop battery, transportation and self-driving technology. Volkswagen has already begun optimising the flow of traffic for 10,000 taxis in Beijing and are on the verge of more improvements with the help of quantum computing.

  • Financial modelling

For the finance sector to find the right mix of beneficial investments depending on expected returns, and the other factors are crucial to survive in the market. However, by integrating quantum technology to perform these elaborate and complex calculations, financial institutions can improve the quality of the solutions and cut down on the time to develop them.

Because financial institutions are in a business of dealing with billions of dollars, even a small improvement in the expected return is worth a lot for them. Algorithmic trading is another potential use of quantum technology. This technology works as the machine utilises complex algorithms to automatically trigger share dealings, assessing the market variables, which is an advantage, particularly for high-volume transactions.

  • Medical research

There is literally a multitude of possibilities to how something could react to the human body. This could be a drug administered to billions of people, each with minute differences in their composition.

Today, it takes pharmaceutical companies up to close to a decade and often billions of dollars to produce a new lifesaving drug and bring it to market. Enhancing the front end of the process with quantum computing can drastically reduce the expenses and time to market, suggest the dissertation writers online. It also helps repurpose pre-approved drugs more easily for new applications, and empower the researchers to make new discoveries quicker that could result in cures for a range of diseases. 

  • Optimum use of AI and machine learning

AI and machine learning are two of the prominent areas of technology at the moment, as these emerging technologies are taking over every aspect of businesses and lives in general. Some of the popular applications in our everyday life uses image, voice, and handwriting recognition.

However, as the number of applications powered by AI multiply, it becomes a challenging task for traditional computers, to match up the speed and accuracy. And, that’s where quantum computing can assist in processing through complex problems in a limited time, which would have taken traditional computers hundred of years.

  • Efficient logistics optimisation

Enhanced data analysis and robust modelling will allow various industries to optimise their logistics and scheduling workflows related to their supply-chain management. The operating models must continuously calculate and recalculate optimal routes of traffic management, air traffic control, fleet operations, freight and distribution. This could have a massive impact on applications.

Usually, conventional computing is used to conduct these tasks. However, some of them could turn into more complex for an ideal computing solution. But the quantum approach may be helpful in such cases. Two common quantum approaches that can be used to solve the problems are — universal quantum computers and quantum annealing.

Quantum annealing is an advanced optimisation approach that surpasses traditional computers. But universal quantum computers are perfectly designed for solving all kinds of computational problems, but it isn’t commercially available yet.

Endnote,

Quantum computers come with the ability to solve complex problems that are beyond the capacities of classic computers. Needless to say, this technology has a lot to offer in terms of its utilisation. It opens up an entirely new field of physics, and there will be many more discoveries, innovations and solutions in the days to come.

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