Quantum computers promise dramatic improvements in our ability to efficiently solve classically intractable problems ranging from cryptosystems to simulation of quantum systems, and to optimization and machine learning. Quantum computing has attracted attention in the past two decades because it was found that computers exploiting quantum mechanics are able to outperform classical digital computers in certain areas like factoring integers and searching. Developments in the field of quantum computing have been strongly impacted by the paradigm of quantum-dot cellular automata (QCA), a scheme for molecular/metal/semiconductor electronics in which information is transmitted and processed through electrostatic interactions in an array of cells.
QCA is a revolutionary computing paradigm that is well suited to nano-electronic implementation and scaling to molecular dimensions. In QCA, binary information is encoded in the position of single electrons among a group of dots forming a cell. This represents a significant break with the transistor-based paradigm in which information is encoded by the state of the transistor current switch. In QCA, electrons switch between quantum dots within a cell, but no current flows between cells. This leads to extremely low power dissipation, avoiding the problem of heat generation that ultimately limits the integration density of transistor circuits. QCA cells used for classical computing applications are mostly fully polarized during the operation. Dissipation plays a positive role helping the system to stay near the ground state. Unlike classical digital applications, quantum computing ideally needs coherence for correct operation. In the case of quantum computing, the cells are not fully polarized: they can be in a superposition of the P= +1 and -1 basis states. Similarly, a cell line can be in a superposition of the multi-qubit product states. In order to distinguish QCA applied for quantum computing from the classical digital QCA, the notion of coherent QCA (CQCA) can be explored.
The aim of this special section is to explore solutions for major challenge in the area of QCA-based digital circuits. It includes the basics of new logic functions and novel digital circuit designs, Quantum Computing with QCA, new trends in quantum and quantum-inspired algorithms and applications, innovative layout methods, advanced EDA tools and algorithms to support QCA designers.
Following are the main topic of interest:
Quantum computer architecture;
Performance evaluation methods for quantum networks
New tools to design/build/optimize quantum hardware devices and quantum software;
Design methodologies for and scalable quantum-computing systems;
Emerging trends in quantum algorithms;
Application case studies and evaluations;
Testing, design for testability, built-in self-test in QCA technology.
QCA-based logic structures and interconnections;
Innovative clock schemes to control data flow directionality;
Smart formulations of logic equations;
Logic gates and digital circuits designs;
Software development tools for the design and the characterization of QCA circuits;
Area, power, and thermal analysis and design in QCA nano-technology.
Unpublished manuscripts, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. All submitted papers will be peer-reviewed using the normal standards of CAEE. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees’ comments and suggestions.
Before submission, authors should carefully read the Guide for Authors available at https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors
Authors should submit their papers through the journal’s web submission tool at
https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI-qca” under the Issues tab.
Submission of manuscript: December 31, 2020
First notification: February 28, 2021
Submission of revised manuscript: April 30, 2021
Notification of the re-review: June 30, 2021
Final notification: August 31, 2021
Final paper due: September 30, 2021
Publication: December 2021
Ashutosh Kumar Singh, NIT Kurukshetra, India, firstname.lastname@example.org
T. N. Sasamal, NIT Kurukshetra, India, email@example.com
Lau Siong Hoe, Multimedia University, Malaysia, firstname.lastname@example.org
P. W. Chandana Prasad, Charles Stuart University, Australia, CWithana@studygroup.com
Ashutosh Kumar Singh is an esteemed researcher and academician in the domain of Electrical and Computer engineering. Currently, he is working as a Professor; National Institute of Technology; Kurukshetra, India. He has more than 18 years research, teaching and administrative experience in various University systems of the India, UK, Australia, Japan and Malaysia. He obtained his Ph. D. degree in Electronics Engineering from Indian Institute of Technology-BHU, India; Post Doc from Department of Computer Science, University of Bristol, United Kingdom. He has published more than 240 research papers in peer reviewed journals, conferences, news magazines and 7 books.
Trailokya Nath Sasamal is currently working as Assistant Professor in the Department of Electronics & Communication Engineering at National Institute of Technology, Kurukshetra, India since August 2013. He has obtained Ph.D. degree from the Department of Electronics & Communication Engineering, NIT Kurukshetra, Haryana. He has presented and published over 40 research papers in reputed journals and various national and international conferences. He is the author of book “Quantum-Dot Cellular Automata Based Digital Logic Circuits: A Design Perspective”, published in Springer.
Lau Siong Hoe serves as a Professor at the Faculty of Information Science and Technology, Multimedia University, Malaysia. Presently he is the Dean of Faculty of Information Science and Technology. His research interest is in the area of Big Data Visualization, Educational Data Mining & Learning Analytics, Educational Computing & Technology and Human-Computer Interaction. Over the past few years, he has been doing research focusing on Business Intelligence & Analytics in Education and Human-Computer Interaction Security (HCISec). He has over 100 scientific papers and projects either presented or published.
P.W. Chandana Prasad has completed his Ph.D. at the Multimedia University, Malaysia and am currently working as Adjunct Associate Professor / Senior Course Coordinator at Charles Sturt University, Study Centre at Sydney. He received his Bachelor’s and Master’s Degrees as a Systems and Programming Engineer from the St. Petersburg Electrical Engineering University, Russia, in 1990 and 1992 respectively. He has worked on funded research projects with different universities and private organizations. Dr Chandana has published over 200 research papers in peer- reviewed international journals and conference proceedings.