Guest Editors
Kunal Das
Department of Computer Science, Acharya Prafulla Chandra College (Govt. of West Bengal), New Barrackpore, West Bengal, India
Dr. Kunal Das holds a B.Tech and M.Tech in Information Technology from Calcutta University, India, and a PhD from the University of Kalyani. He was an assistant professor at the National Institute of Technology in Arunachal Pradesh and an associate professor at the Narula Institute of Technology in Kolkata. Currently, he is an assistant professor in the Department of Computer Science at Acharya Prafulla Chandra College, West Bengal, India. Dr. Das has authored numerous papers in international SCI journals and conferences and has been a reviewer for esteemed journals such as Microelectronics, the Journal of Electronic Testing, and IEEE Transactions. Additionally, he is an associate editorial board member of Current Chinese Computer Science. His research interests encompass nanodevices like quantum-dot cellular automata, integrated circuits, and digital microfluidic biochips. He focuses on quantum computing, quantum machine learning, and addressing optimization problems through adiabatic quantum computers. Dr. Das is also recognized in the World Scientist Ranking by the AD Scientific Index and currently supervises eight PhD scholars, four of whom have successfully completed their degrees.
Siddhartha Bhattacharyya
VSB Technical University of Ostrava, Czech Republic, Europe
Dr. Siddhartha Bhattacharyya holds multiple degrees in physics, optics, and optoelectronics from the University of Calcutta and earned his PhD in Computer Science and Engineering from Jadavpur University in 2008. In 2023, he received a habilitation degree from VSB-Technical University of Ostrava (VSB-TUO), Czech Republic. He has been recognized with numerous prestigious awards, including the Distinguished HoD Award, the ACM Distinguished Speaker title (2018–2020), and induction into the People of ACM Hall of Fame. Currently, he is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science at VSB-TUO. He has authored six books, co-edited 106 volumes, and published over 400 research papers. Additionally, he holds two PCTs and 20 patents. Dr. Bhattacharyya has played key roles in organizing several international conferences and is an editor for leading journals, including Applied Soft Computing, IEEE Access, and Evolutionary Intelligence. His research focuses on hybrid intelligence, pattern recognition, multimedia data processing, social networks, and quantum computing.
Arindam Sadhu
Department of Electronics and Communication Engineering (NBA Accredited), Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex, Kolkata (Autonomous), Kolkata, West Bengal, India
Dr. Arindam Sadhu is an assistant professor in the ECE Department at Dr. Sudhir Chandra Sur Institute of Technology and Sports Complex, Kolkata, India. He has over five years of teaching experience, two years of industry experience, and three years of research experience with the Department of Science and Technology-Science and Engineering Research Board (DST-SERB), Government of India. Additionally, he worked as a project consultant for one year at Dark Star Quantum Lab, USA. His research interests include quantum computing, quantum-dot cellular automata, and low-power VLSI circuit design. Dr. Sadhu has published 26 scientific articles in SCI and Scopus-indexed journals and conference proceedings and holds two granted patents. His first edited book is set for release at the end of 2025. He has delivered expert talks at various national and international platforms, including Tripura University (Central University, Govt. of India) and the Washington Quantum Computing Meetup. In 2023 and 2024, he was recognized in the World Scientist Ranking by the AD Scientific Index.
Jan Platos
VSB Technical University of Ostrava, Czech Republic, Europe
Jan Platos received his PhD in Computer Science in 2010. Since 2021, he has been serving as the dean of the Faculty of Electrical Engineering and Computer Science at VSB-Technical University of Ostrava. He has co-authored over 240 scientific articles in journals and conference proceedings. His research has received 975 citations with an h-index of 13 on Web of Science, 1,593 citations with an h-index of 18 on Scopus, and 2,395 citations with an h-index of 22 on Google Scholar. His primary research interests include machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
Collection Overview
Quantum computing is a computational technology that employs quantum mechanics principles such as entanglement, superposition, and interference to process, store, and manipulate large amounts of data and perform complex calculations beyond the capabilities of conventional computing systems and supercomputers. It has become a central area of research in recent decades, attracting significant interest from both academia and industry. Key focus areas include quantum machine learning, quantum AI, quantum optimization, post-quantum cryptography, and beyond.
This collection will highlight recent advancements in quantum computing and their impact on modern computational methodologies. One key area of focus is hybrid quantum applications, where classical algorithms—considered the most efficient in their domain—are executed on classical machines while leveraging quantum computing for optimization. Problems that require exponential time to solve with classical algorithms can be addressed in linear or polynomial time using quantum computing, including NP-complete problems. Additionally, this collection will explore research on the Quantum Approximate Optimization Algorithm (QAOA), its applications, and advancements in quantum error correction.
Topics of interest include but are not limited to:
- Quantum machine learning
- Quantum AI
- QAOA
- Post-quantum cryptography
- Quantum algorithm for NP-complete problems
- Quantum search
- Quantum clustering
These topics are at the forefront of quantum computing, and by bringing together recent breakthroughs, this collection aims to provide valuable insights for the quantum research community.
Articles
Neural Network-Guided Extrapolation Technique for Quantum Variational Algorithms
0 Views
•
Cited by 1
•
2025
•
Subhasree Bhattacharjee1, Soumyadip Sarkar1, Kunal Das2, Hanin Ardah3, Abdel-Haleem Abdel-Aty4, Ali Jaber Almalki5
1Department of Computer Application, Narula Institute of Technology, Kolkata, India, 2Department of Computer Science, Acharya Prafulla Chandra College, Kolkata, India, 3Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, 4Department of Physics, College of Sciences, University of Bisha, Bisha, Saudi Arabia, 5Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia
Efficient Quantum Algorithm for Post Quantum Cryptography
0 Views
•
2025
•
Aswini Kumar Mallick1, Puspak Pain2, Kunal Das3, Tapas Laha4, Sara A. Ghorashi5, Abdel-Haleem Abdel-Aty6, Ali Jaber Almalki7
1Department of Electronics, Acharya Prafulla Chandra College, Kolkata, India, 2MAKAUT, West Bengal, India, 3Department of Computer Science, Acharya Prafulla Chandra College, Kolkata, India, 4Narula Institute of Technology, West Bengal, India, 5Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, 6Department of Physics, College of Sciences, University of Bisha, Bisha, Saudi Arabia, 7Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia
Abstracts
Memory Optimization of a Quantum-Inspired Processor for High-Speed Computation
Moulisvaran U1,
Pramoth K P1,
Rithika N1,
Sheena Pravin1,
Reena Monica P*1
1Vellore Institute of Technology, Chennai
Efficient Quantum Algorithm for Post Quantum Cryptography
Abdel-Haleem Abdel-Aty*1,
Aswini Kumar Mallick2,
Puspak Pain3,
Kunal Das2,
Sara A Ghorashi4,
Ali Jaber Almalki*5
1Department of Physics, College of Sciences, University of Bisha, Bisha 61922, Saudi Arabia,
2Acharya Prafulla Chandra College, India,
3MAKAUT, West Bengal, India,
4Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia,
5Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia
Optimization Approaches of Bucket Brigade Quantum RAM Architecture
Ashwin Sivakumar1,
Reena Monica P*1
1Vellore Institute of Technology, Chennai