Loading...
Thumbnail Image
Item

Reversible Quantum-dot Cellular Automata-based arithmetic logic unit

Alharbi, Mohammed
Edwards, Gerard
Stocker, Richard
Citations
Altmetric:
Advisors
Editors
Other Contributors
EPub Date
Publication Date
2023-08-29
Submitted Date
Other Titles
Abstract
Quantum-dot cellular automata (QCA) are a promising nanoscale computing technology that exploits the quantum mechanical tunneling of electrons between quantum dots in a cell andelectrostatic interaction between dots in neighboring cells. QCA can achieve higher speed, lowerpower, and smaller areas than conventional, complementary metal-oxide semiconductor (CMOS) technology. Developing QCA circuits in a logically and physically reversible manner can provide exceptional reductions in energy dissipation. The main challenge is to maintain reversibility down to the physical level. A crucial component of a computer’s central processing unit (CPU) is the arithmetic logic unit (ALU), which executes multiple logical and arithmetic functions on the data processed by the CPU. Current QCA ALU designs are either irreversible or logically reversible; however, they lack physical reversibility, a crucial requirement to increase energy efficiency. This paper shows a new multilayer design for a QCA ALU that can carry out 16 different operations and is both logically and physically reversible. The design is based on reversible majority gates, which are the key building blocks. We use QCA Designer-E software to simulate and evaluate energy dissipation. The proposed logically and physically reversible QCA ALU offers an improvement of 88.8% in energy efficiency. Compared to the next most efficient 16-operation QCA ALU, this ALU uses 51% fewer QCA cells and 47% less area.
Citation
Alharbi, M., Edwards, G., & Stocker, R. (2023). Reversible Quantum-Dot Cellular Automata-Based Arithmetic Logic Unit. Nanomaterials, 13(17), 2445-2496. https://doi.org/10.3390/nano13172445
Publisher
MDPI
Journal
Nanomaterials
Research Unit
PubMed ID
PubMed Central ID
Type
Article
Language
Description
Series/Report no.
ISSN
EISSN
2079-4991
ISBN
ISMN
Gov't Doc
Test Link
Sponsors
Embedded videos