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Volume 9 (2014) : Issue 1, Jan

The Journal of Engineering

Accurate reliability evaluation using quantum-dot cellular automata probabilistic transfer matrix

Content Provider	IET Digital Library
Author	Chen, Xiangye Cai, Li Jia, Kaixiang Wang, Zhichun Cui, Huanqing
Abstract	The probabilistic transfer matrix (PTM) plays an important role in analysing the transient faults and the reliability of digital logic circuits. Proposed a modified PTM (QPTM) for quantum-dot cellular automata (QCA). It has two features different from the previous PTM model: (i) finding more accurate matrices for the wires; and (ii) dividing the QCA circuits more reasonably. Simultaneously, the wire's correct probability is curved by a Gaussian function to enable it to emerge successfully. By using this QPTM, the detailed and extensive simulation results gained reveal that the reliabilities obtained from the PTM analysis of the same circuit could differ at 9%. As for the reliabilities achieved from the PTM and the QPTM, the difference rises to 30%. The simulations obtained have proved that the PTM has weaknesses when presenting the effects of the wire's length and division on the circuit reliabilities.
Starting Page	77
Ending Page	82
Page Count	6
Volume Number	9
e-ISSN	17500443
Issue Number	Issue 2, Feb (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/mnl/9/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/mnl.2013.0687
Journal	Micro & Nano Letters
Publisher Date	2014-01-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Automata Theory Cellular Automata Circuit Reliability Digital Logic Circuit Reliability Gaussian Function Gaussian Processes Logic And Switching Circuit Logic Circuit Matrix Algebra Probabilistic Automata QCA Circuit QPTM Quantum Dots Quantum-dot Cellular Automata Probabilistic Transfer Matrix Reliability Reliability Evaluation Statistics Transient Analysis Transient Fault Analysis Wire Correct Probability
Content Type	Text
Resource Type	Article

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