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Quantum Algorithms for Accelerated Simulation in Materials Chemistry
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Author(s): Aayushi Arya (Woxsen University, India), Ramesh Kumar Banjare (MATS School of Engineering and Information Technology, MATS University, India), Noushad Yashan (Yaavik Materials and Engineering Private Limited, India)and Harish Chandra Joshi (Graphic Era University, India)
Copyright: 2024
Pages: 16
Source title:
Real-World Challenges in Quantum Electronics and Machine Computing
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), T. Ananth Kumar (IFET College of Engineering, India)and Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)
DOI: 10.4018/979-8-3693-4001-1.ch013
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Abstract
Quantum computing has the potential to revolutionize computational chemistry by providing algorithms that can model chemical processes ten times quicker than we can today. This report examines the present state of research and development in quantum algorithms for materials chemistry modeling. A thorough investigation is conducted into the benefits and drawbacks of quantum simulation techniques utilized in materials research. This research examines the benefits and drawbacks of applying quantum algorithms on both current and future quantum hardware platforms, including error-corrected quantum computers and noisy intermediate-scale quantum (NISQ) devices. Finally, the authors discussed potential future research directions and challenges in the field of quantum algorithms for quicker models of materials chemistry. These strategies included actions to reduce the likelihood of errors, approaches to improve quantum circuits, and the development of novel quantum methods expressly for use in materials research.
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