Every year, we witness breakthroughs in quantum computing (QC) that have the potential to transform numerous industries by creating ultra-secure encryptions and advancing artificial intelligence (AI) and machine learning (ML) enabled technologies.
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With the implementation of QC, IT engineers began to seek possible solutions at the subatomic and atomic levels and make them available commercially.
In today’s article, we will learn about the three things about quantum computing that will change the traditional way of computing.
- Three Things You Should Know About Quantum Computing
Quantum computing can be used to address difficult issues in fields that will significantly affect our lives, such as finance, artificial intelligence, autonomous car applications, medicines, and materials research. Let us take a glimpse at the top three things you must know about quantum computing:
1.1. A New Cryptographic Standard
The key drawback to quantum computing is its ability to crack most of the defenses used to secure applications and the internet. QC poses a serious threat to the cybersecurity system that relies on the virtual company. To transition encryption algorithms from quantum-resistant to quantum-resistant forms, the US National Institute of Standards and Technology (NIST) is creating a post-quantum cryptography standard. This will protect sensitive private and public sector data from cybercriminals.
1.2. Quantum Computing Chip
.A quantum computing chip works as a processor for quantum computers, as these chips contain quantum bits, or “qubits,” that can make the classical computing process faster. Numerous IT companies, like Google, Intel, IBM, and D-WAVE, are developing and manufacturing semiconductor devices that can utilize quantum mechanical phenomena. These chips can be used in a variety of applications, including communication and sensing.
1.3. Need for New Algorithms
One problem that is holding back quantum computing is the requirement for new software and the way to implement it in the commercial market. The process is quite slow as scientists and IT engineers have limited resources, and very few quantum computers are available today. Dr. Joel Wallman, the co-founder of quantum computing software maker Quantum Benchmark, quotes, “Access to quantum computers is currently akin to access to mainframe computers in the ‘60s and ‘70s. You have limited time to access the hardware, the hardware is error-prone, and the best ways of operating a quantum computer have not been determined. Consequently, we have yet to prototype and debug algorithms that will work reliably on near-term quantum devices.”
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