Test generation for combinational quantum cellular automata (QCA) circuits
Proceedings of the conference on Design, automation and test in Europe: Proceedings
HDLQ: A HDL environment for QCA design
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Simulation of random cell displacements in QCA
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Analysis of missing and additional cell defects in sequential quantum-dot cellular automata
Integration, the VLSI Journal
A model for computing and energy dissipation of molecular QCA devices and circuits
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Reversible Gates and Testability of One Dimensional Arrays of Molecular QCA
Journal of Electronic Testing: Theory and Applications
Automatic test generation for combinational threshold logic networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Detecting Multiple Faults in One-Dimensional Arrays of Reversible QCA Gates
Journal of Electronic Testing: Theory and Applications
Hybrid nanoelectronics: future of computer technology
Journal of Computer Science and Technology
A test generation framework for quantum cellular automata circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hi-index | 0.00 |
There has been considerable research on quantum dot cellular automata (QCA) as a new computing scheme in the nanoscale regimes. The basic logic element of this technology is the majority voter. In this paper, a detailed simulation-based characterization of QCA defects and study of their effects at logic level are presented. Testing of these QCA devices at logic level is investigated and compared with conventional CMOS-based designs. Unique testing features of designs based on this technology are presented and interesting properties have been identified. A testing technique is presented; it requires only a constant number of test vectors to achieve 100% fault coverage with respect to the fault list of the original design. A design-for-test scheme is also presented, which results in the generation of a reduced test set at 100% fault coverage.