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Computational methods of quantum chemistry as a practical research tool

Artur Michalak

Published Jan 1, 2018• 0 citations
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Quantum science and technology are increasingly recognised as critical areas of research and development with profound implications for various scientific fields and practical applications. Quantum science explains experimental observations of subatomic phenomena, thereby enhancing our fundamental understanding of the entire system of concepts based on the principles of quantum theory. Quantum computing has the potential to bring about a radical transformation in computational methods. The development of fundamental tools such as quantum chemistry, quantum cryptography, and quantum machine learning, along with advanced applications like quantum biology, quantum finance, quantum sensing, weather forecasting, and quantum space science, is expected to exert a significant global impact. This review provides a broad overview of developments and highlights the importance of research with diverse possible applications in the field, offering solutions across sectors