
Multilevel Quantum Metaheuristics
Applications in Data Exploration
- 1st Edition - January 1, 2026
- Latest edition
- Editors: Siddhartha Bhattacharyya, Hiranmoy Roy, Jan Platos, Leo Mršić, Balamurugan Balusamy
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 1 3 6 - 7
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 1 3 7 - 4
Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechan… Read more

- Provides insights into the future of quantum-inspired optimization by covering recent trends and mathematical techniques
- Advances knowledge of evolving time-efficient hybrid quantum algorithms that leverage the processing capabilities of emerging qudit-based paradigms
- Presents in-depth analysis of quantum mechanical principles with special reference to multilevel quantum states
2. Multilevel Quantum Metaheuristics and Their Role in Data-Intensive Applications
3. Beyond Qubits: Exploring Molecular Spin Qudits for Advanced Quantum Computing
4. Neural Architecture Search Using a Quantum Genetic Algorithm for Image Classification
5. Revolutionizing Network Optimization: Enhancing Efficiency and Performance through Quantum Computing and Hybrid Quantum-Classical Approaches
6. Automated Cluster Number Detection in Hyperspectral Images Using a Qutrit Flower Pollination Algorithm
7. Multi objective portfolio optimization using multilevel quantum-inspired optimization algorithms: A comparative study
8. A Comprehensive Performance Analysis of the Quantum-Inspired Genetic Algorithm for Image Segmentation
9. Quantum-Inspired Metaheuristics for Drug Design and Discovery
10. Application of Quantum Metaheuristics Techniques in Data Exploration for IoT Environment
11. Task Allocation and Scheduling
12. Image Processing and Signalling in Multilevel Quantum Metaheuristics
13. AQIMLQC : A Framework for Advancing Air Quality Prediction using Quantum-Inspired Metaheuristics on Climate Change to achieve positive health
14. Quantum Approaches to Task Allocation and Scheduling: Enhancing Efficiency and Optimisation in Distributed Systems
15. Multilevel Quantum Metaheuristics: Concluding Remarks and Future Directions of Research
- Edition: 1
- Latest edition
- Published: January 1, 2026
- Language: English
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Siddhartha Bhattacharyya
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Hiranmoy Roy
Hiranmoy Roy received a B.E. (CSE) degree from Burdwan University, an M. Tech. (CT) degree and PhD (Engg) from Jadavpur University, India, in 2003, 2009, and 2022, respectively. He is now with the RCC Institute of Information Technology, India, as an Associate Professor and HOD in the Department of IT. He is a lifetime member of IEI and has 21+ years of experience, including teaching. His main focus areas are heterogeneous face recognition, face recognition in the wild, generation of image descriptors, women harassment detection, human emotion recognition, image retrieval, biometric cryptography, optimization in deep learning, etc. The technologies he is dealing with are computer vision, deep learning, and image processing.
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Jan Platos
Jan Platos received a Ph.D. in computer science in 2010. He became a Full professor in 2021 at the Department of Computer Science. Since 2021, he has been Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
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Leo Mršić
Leo Mršić is the Vice-Rector for science and research at Algebra University and Vice president for Technological Development at the National Council for Higher Education, Science and Technological Development, Head of BDV i-Silver Data Center Algebra LAB, Zagreb, Croatia. Permanent court expert in finance, accounting, bookkeeping, and informatics (12+ years) with a large number (150+) of successfully completed complex expertise procedures. He is also an IPMA A Certified Project Director with 100+ successfully completed complex projects.
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Balamurugan Balusamy
Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, and data sciences