Impact of Quantum Computing Technology

Quantum computing is an advanced-level technology of the computer science branch that can solve complex issues better than traditional computers; it is a computation based on the idea of superposition using quantum mechanics principles. Quantum computing can generate algorithms that are faster and more powerful than classic algorithms.

One major advantage of Quantum Computing is cryptography encryption, where only the sender and the receiver have access to it. Hacking this encrypted data is nearly impossible. At present, Quantum computing challenges the classic cryptography encryption methods. 

What are Quantum Computers?

Quantum Computers are still in the development stage. However, small-scale quantum computers have been built in large, expensive, and complex laboratories. These extremely powerful machines use significant quantum theory principles to perform complex calculations and data analysis. Quantum computers have significantly high data processing speeds, which makes them reliable for performing tasks beyond the reach of normal computers.

Computing in Classical computers is based on binary digits (0 or 1) called bits, whereas Quantum computers use quantum bits or qubits which exist in more than one state at the same time; it can be both 0 or 1 in reality; hence they can perform multiple tasks at a time.

In the year 2019, a quantum computer at Google was developed, and it solved a complicated calculation that would take 10,000 years for a conventional computer. This became the stepping stone for developing a fully functional quantum computer that can perform astronomical calculations, developing AI smart devices, and many more. 

Disadvantages of Quantum Computing

The Quantum theory of mechanics is complex and difficult to understand. Executing these principles, in reality, takes time, and many core problems are still not addressed. Currently, only small-scale quantum computers are built, but building a large-functioning quantum computer is a challenging one for research scientists.

Qubits in quantum computing are very sensitive to undetectable electromagnetic and thermal flows which is a decoherence problem. 

Though Quantum Computing is a revolutionary technology that is still in the research and development stage; it poses a threat to cybersecurity and sensitive data protection in numerous ways.

Quantum computing can break cryptographic algorithms within hours and its interference with cryptography is a drawback in protecting the confidentiality of secret data. As a result of this trust, the safety and privacy of many modern data storage systems will be at high risk.

Nowadays cyber criminals are using AI and machine learning to launch malware attacks in the coming days they might use quantum computing to launch malware attacks. This will cause more cyber attacks and data theft even from government websites.

Apart from all these drawbacks Quantum computing has several advantages. 

Quantum computers have exceptional computational abilities to create and improve powerful encryption algorithms. Already certain algorithms are developed to solve computational problems. Some popular quantum algorithms include Shor's algorithm and Harrow Hassidim Llyod's algorithm. These algorithms compute factors of large numbers and solve discrete logarithmic equations.

Future of Quantum Computing

Although the development of Quantum computers takes roughly around 5-10 years, it's good to keep an eye on its engineering breakthroughs and developments. Many organizations are working to develop encryption algorithms that quantum computing cannot break and protect against quantum computing threats. 

In the long run, we can see that quantum computing will be used for powerful cryptographical encryption, and also quantum distribution keys are designed for the safe transport of encryption keys. Quantum computing technology makes cryptographical encryption faster and more reliable than the present-day computational technologies. 

Quantum computing technology if made widely accessible to everyone, is going to bring major changes in the field of big data and Data Analytics. Learning Data Analytics makes you overcome technological challenges and handle computational risks well in your projects.