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.
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