A Case Study on Quantum-Dot Cellular Automata Based Logic Design for Ultra-Low Power VLSI Circuits

Jordan Evans; Ruby Smith; Riley Hill; Riley Scott

Authors

Jordan Evans Professor
Ruby Smith Associate Professor
Riley Hill Dr. Sc
Riley Scott PhD

Keywords:

Quantum-Dot Cellular Automata, VLSI design, ultra-low power circuits, nanoelectronics, computational efficiency

Abstract

This study investigates the integration of Quantum-Dot Cellular Automata (QCA) in the design of ultra-low power Very-Large-Scale Integration (VLSI) circuits. Employing a systematic empirical approach, the research examines the efficiency and scalability of QCA technology. Results indicate a significant reduction in power consumption while maintaining computational integrity, heralding a new direction in VLSI design innovation.

Author Biographies

Jordan Evans, Professor

Professor
Massachusetts Institute of Technology
77 Massachusetts Avenue, Cambridge, MA 02139, USA

Ruby Smith, Associate Professor

Associate Professor
University of Cambridge
The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom

Riley Hill, Dr. Sc

Dr. Sc
Technical University of Munich
Arcisstraße 21, 80333 München, Germany

Riley Scott, PhD

PhD
University of Melbourne
Parkville, Melbourne, VIC 3010, Australia

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