• DocumentCode
    3436854
  • Title

    Fault testing for reversible circuits

  • Author

    Patel, Ketan N. ; Hayes, John P. ; Markov, Igor L.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • fYear
    2003
  • fDate
    27 April-1 May 2003
  • Firstpage
    410
  • Lastpage
    416
  • Abstract
    Irreversible computation necessarily results in energy dissipation due to information loss. While small in comparison to the power consumption of today´s VLSI circuits, if current trends continue this will be a critical issue in the near future. Reversible circuits offer an alternative that, in principle, allows computation with arbitrarily small energy dissipation. Furthermore, reversible circuits are essential components of quantum logic. We consider the problem of testing these circuits, and in particular generating efficient test sets. The reversibility property significantly simplifies the problem, which is generally hard for the irreversible case. We discuss conditions for a test set to be complete, give a number of practical constructions, and consider test sets for worst-case circuits. In addition, we formulate the problem of finding minimal test sets into an integer linear program (ILP) with binary variables. While this ILP method is infeasible for large circuits, we show that combining it with a circuit decomposition approach yields a practical alternative.
  • Keywords
    VLSI; fault diagnosis; integer programming; integrated circuit testing; integrated logic circuits; linear programming; logic testing; quantum gates; ILP method; VLSI circuits; binary variables; cell fault model; circuit decomposition approach; integer linear program; minimal test sets; quantum logic; reversible circuits; Circuit faults; Circuit testing; Electrical fault detection; Energy consumption; Energy dissipation; Government; Logic circuits; Logic gates; Quantum computing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Test Symposium, 2003. Proceedings. 21st
  • ISSN
    1093-0167
  • Print_ISBN
    0-7695-1924-5
  • Type

    conf

  • DOI
    10.1109/VTEST.2003.1197682
  • Filename
    1197682