Coplanar Wire Crossing Based on Bayesian Scheme for QCA

QCA is one of the innovating technologies for Nano scale computation. With the present difficulties in reduction of sizes in transistor circuits, QCA has been proposed as a kind of replacement for such instances Researchers have developed several models for defect characterization and design to minimize the uncertainty of proper circuit operation. This uncertainty of the circuit aids in developing a probabilistic model for analysis. One such model is the Bayesian network (BN) modeling, which exploits the causal relationships in clocked QCA circuits to obtain a model with low complexity. It is based on density matrix formulations and also takes the dependencies induced by clocking of cells. One of the many interesting features of BN is that it not only captures the dependencies existing between two QCA cells, but can also be used to conduct steady stateoperations without the need for temporal computation of quantum mechanical equations.