• DocumentCode
    1874714
  • Title

    Probabilistic Analysis of a Molecular Quantum-Dot Cellular Automata Adder

  • Author

    Dysart, Timothy J. ; Kogge, Peter M.

  • Author_Institution
    Univ. of Notre Dame, Notre Dame
  • fYear
    2007
  • fDate
    26-28 Sept. 2007
  • Firstpage
    478
  • Lastpage
    486
  • Abstract
    Since nanoelectronic devices are likely to be defective and error-prone, developing an understanding of circuit reliabilities and critical components will be required. To this end, this paper examines reliability considerations of several sample circuits when implemented in a molecular QCA technology. Probabilistic transfer matrices are used to analyze an XOR, crossover, adder, and an adder using triple modular redundancy. This provides insight in answering how reliable emerging circuit components must be to have a reliable circuit and which of these components are the most critical. As will be shown, component error rates must be at or below 10~4 for an adder to function with 99% reliability and that the straight wire and majority gate are the most critical components to each circuit´s reliability. It is also shown that the common assumption made in triple modular redundancy theory that only gates fail is insufficient for QCA.
  • Keywords
    adders; cellular automata; integrated circuit reliability; nanoelectronics; probability; quantum dots; redundancy; transfer function matrices; XOR; circuit reliabilities; molecular QCA technology; molecular quantum-dot cellular automata adder; nanoelectronic devices; probabilistic analysis; probabilistic transfer matrices; triple modular redundancy theory; Adders; CMOS technology; Circuits; Error analysis; Fault tolerant systems; Nanoscale devices; Quantum cellular automata; Quantum dots; Redundancy; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault-Tolerance in VLSI Systems, 2007. DFT '07. 22nd IEEE International Symposium on
  • Conference_Location
    Rome
  • ISSN
    1550-5774
  • Print_ISBN
    978-0-7695-2885-4
  • Type

    conf

  • DOI
    10.1109/DFT.2007.39
  • Filename
    4358417