Harnessing Quantum Computers for Efficient Optimization in Chemical Engineering
C. Sushama (Mohan Babu University, India), R. V. V. Krishna (Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India), V. Satyanarayana (Aditya College of Engineering and Technology, Jawaharlal Nehru Technological University, Kakinada, India), and T. Ganesan (Koneru Lakshmaiah Education Foundation, India)
Copyright: © 2024
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Pages: 17
DOI: 10.4018/979-8-3693-4001-1.ch006
Abstract
Quantum computing (QC) has made it possible for optimization and machine learning to get better. These improvements could have big effects on many areas, like medicine, technology, communication, and finance. There will probably soon be a huge rise in the use of QC in the chemistry, pharmaceutical, and bio-molecular fields. Improvements in quantum hardware and software have sped up the process of putting QC into action. It is very important to find real-life chemical engineering problems that cutting-edge quantum methods could help solve, no matter if they are used in computers today or in the future. The authors go over some basic QC ideas while also talking about the problems with current quantum computers. There is also an outline of quantum algorithms that, when used with current quantum computers, could help chemical engineers with machine learning and optimization. There are also plans for future quantum devices because this research looks into linked uses that could use quantum algorithms run on them.
TopBrown, 2019, Krenn, 2020 One type of computer is a quantum computer, which uses quantum mechanical events to do calculations. This way of doing calculations is called quantum computing (QC). Quantum computing could give huge amounts of computing power, which would lead to revolutionary progress in many areas of science and technology. With the development of quantum computers using ML and the proof that quantum computers are better at some tasks, there is a lot of interest in quantum computing (QC) and money to make it a reality. The important real effects of getting big speed boosts with quantum algorithms are another thing that has helped quantum computing (QC) grow and change over time. A lot of research is being done right now to change artificial intelligence, communication, and banking by using new technologies like quantum computing. The general benefits of quantum computing go beyond these specific fields. These benefits are based on using quantum methods and devices to solve specific problems. An in-depth look at how to use the right quality control tools can also help with solving important chemical engineering problems.
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