A First Step Towards Cost Functions for Quantum-dot Cellular Automata Designs

Weiqiang Liu, Liang Lu, Maire O'Neill, Earl E. Swartzlander

Research output: Contribution to journalArticlepeer-review

107 Citations (Scopus)


Quantum-dot cellular automata (QCA) is potentially a very attractive alternative to CMOS for future digital designs. Circuit designs in QCA have been extensively studied. However, how to properly evaluate the QCA circuits has not been carefully considered. To date, metrics and area-delay cost functions directly mapped from CMOS technology have been used to compare QCA designs, which is inappropriate due to the differences between these two technologies. In this paper, several cost metrics specifically aimed at QCA circuits are studied. It is found that delay, the number of QCA logic gates, and the number and type of crossovers, are important metrics that should be considered when comparing QCA designs. A family of new cost functions for QCA circuits is proposed. As fundamental components in QCA computing arithmetic, QCA adders are reviewed and evaluated with the proposed cost functions. By taking the new cost metrics into account, previous best adders become unattractive and it has been shown that different optimization goals lead to different “best” adders.
Original languageEnglish
Number of pages12
JournalIEEE Transactions on Nanotechnology
Issue number3
Early online date20 Feb 2014
Publication statusPublished - 07 May 2014


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