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We propose a novel single event fault/error model based on logic induced fault encoded directed acyclic graph (LIFE-DAG) structured probabilistic Bayesian networks, capturing all spatial dependencies induced by the circuit logic. The detection probabilities also act as a measure of soft error susceptibility (an increased threat in nanodomain logic block)(More)
— In this paper, we report Magnetic Quantum Cellular Automata (MQCA) realization using multi-layer cells with tilted polarizer reference layer with a particular focus on the critical need to shift towards the multi-layer cells as elemental entities from the conventional single-domain nanomagnets. We have reported a novel spin-transfer torque current induced(More)
We propose a new switching probability model for combinational circuits using a<b>Logic-Induced-Directed-Acyclic-Graph</b>(LIDAG) and prove that such a graph corresponds to a<b>Bayesian Network</b>guaranteed to map all the dependencies inherent in the circuit. This switching activity can be estimated by capturing complex dependencies (spatio-temporal and(More)
In this paper, different circuits of Quantum-dot Cellular Automata (QCA) are proposed for the so-called coplanar crossing. Coplanar crossing is one of the most interesting features of QCA because it allows for mono-layered interconnected circuits, whereas CMOS technology needs different levels of metalization. However, the characteristics of the coplanar(More)
With the goal of building an hierarchical design methodology for quantum-dot cellular automata (QCA) circuits, we put forward a novel, theoretically sound, method for abstracting the behavior of circuit components in QCA circuit, such as majority logic, lines, wire-taps, cross-overs, inverters, and corners, using macromodels. Recognizing that the basic(More)
In this paper, different circuit arrangements of quantum-dot cellular automata (QCA) are proposed for the so-called coplanar crossing. These arrangements exploit the majority voting properties of QCA to allow a robust crossing of wires on the Cartesian plane. This is accomplished using enlarged lines and voting. Using a Bayesian network (BN) based(More)