Title :
A Test Generation Framework for Quantum Cellular Automata Circuits
Author :
Gupta, Pallav ; Jha, Niraj K. ; Lingappan, Loganathan
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ
Abstract :
In this paper, we present a test generation framework for quantum cellular automata (QCA) circuits. QCA is a nanotechnology that has attracted recent significant attention and shows promise as a viable future technology. This work is motivated by the fact that the stuck-at fault test set of a circuit is not guaranteed to detect all defects that can occur in its QCA implementation. We show how to generate additional test vectors to supplement the stuck-at fault test set to guarantee that all simulated defects in the QCA gates get detected. Since nanotechnologies will be dominated by interconnects, we also target bridging faults on QCA interconnects. The efficacy of our framework is established through its application to QCA implementations of MCNC and ISCAS´85 benchmarks that use majority gates as primitives
Keywords :
automatic test pattern generation; cellular automata; fault diagnosis; logic testing; quantum gates; automatic test pattern generation; bridging faults; defect detection; nanotechnology; quantum cellular automata; stuck-at fault test set; test generation; Automatic testing; Benchmark testing; Circuit faults; Circuit simulation; Circuit testing; Electrical fault detection; Fault detection; Integrated circuit interconnections; Nanotechnology; Quantum cellular automata; Computer-aided design (CAD) for nanotechnologies; quantum cellular automata (QCA); test generation;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2007.891081