A Journey into Quantum Wavefunction Optimization Algorithm

Exploring the Path to the Optimal Solution

Pritpal Singh (Autor)

Buch | Hardcover

280 Seiten

2025 | Unabridged edition
Cambridge Scholars Publishing (Verlag)
978-1-0364-5498-2 (ISBN)

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This ground breaking volume presents a unified exploration of hybrid and quantum-inspired approaches to time series forecasting, digital image classification and optimization. Bridging fuzzy logic, neutrosophic theory, granular computing, and quantum computation, the book introduces novel models that enhance predictive accuracy and optimization efficiency under uncertainty and complexity.From a hybrid Neutrosophic-PSO model for uncertain time series (Chapter 1) to quantum-inspired forecasting frameworks (Chapter 3), the work addresses indeterminacy with cutting-edge methodologies. Evolutionary techniques and granular computing further refine forecasting accuracy in vague data contexts (Chapter 2). The book also pioneers the fast forward quantum optimization algorithm, analyzing its convergence properties and showcasing its efficacy across diverse domains, from unconstrained optimization problems (Chapter 4) and solving the Traveling Salesman Problem using quantum wavefunction optimization algorithm (Chapter 5) to the tuning of convolutional neural networks for digital image classification using the fast forward quantum optimization algorithm (Chapter 6).A vital resource for researchers and practitioners in data science, artificial intelligence, and quantum optimization, this book opens new avenues in modeling, forecasting, and problem-solving under uncertainty.

Dr Pritpal Singh received his PhD in Computer Science and Engineering from Tezpur (Central) University, India, in 2015. He has held international research positions, including Postdoctoral Research Fellow at the National Taipei University of Technology, Taiwan, and Adjunct Professor (Research) at the Institute of Theoretical Physics, Jagiellonian University, Poland. He is currently Assistant Professor in Data Science and Analytics at the Central University of Rajasthan, India.Dr Singh has published extensively in reputable SCI-indexed journals, conference proceedings, and books, with work appearing in leading titles such as IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Sciences, and Knowledge-Based Systems. His research covers ambiguous set theory, quantum-inspired optimisation, time series forecasting, image and fMRI data analysis, machine learning, and mathematical modelling. He received postdoctoral fellowships from Taiwan and Poland, and was named among the world's top 2% scientists in 2023 and 2024.

Erscheinungsdatum	20.09.2025
Verlagsort	Newcastle upon Tyne
Sprache	englisch
Maße	148 x 212 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
ISBN-10	1-0364-5498-3 / 1036454983
ISBN-13	978-1-0364-5498-2 / 9781036454982
Zustand	Neuware