various synthesis methods have been proposed in the literature for reversible and quantum logic circuits. however, there are few algorithms to optimize an existing circuit with multiple constraints simultaneously. in this paper, some heuristics in genetic algorithms (ga) to optimize a given circuit in terms of quantum cost, number of gates, location of garbage outputs, and delay, are proposed. ...

quantum-dot cellular automata (qca) is an emerging and promising technology that provides significant improvements over cmos. recently qca has been advocated as an applicant for implementing reversible circuits. however qca, like other nanotechnologies, suffers from a high fault rate. the main purpose of this paper is to develop a fault tolerant model of qca circuits by redundancy in hardware a...

the purpose of this study was to evaluate the effect of short time circuit-resistance exercise with difference intensities on ghi/igf-i growth axis in healthy male students. for this purpose, 27 male students with mean and standard deviation of age 21.40±1.78 yr, height 172±0.45 cm, weight 68.85±5.39 kg were selected and randomly divided into three resistance exercise groups (each group, 9 subj...

Various synthesis methods have been proposed in the literature for reversible and quantum logic circuits. However, there are few algorithms to optimize an existing circuit with multiple constraints simultaneously. In this paper, some heuristics in genetic algorithms (GA) to optimize a given circuit in terms of quantum cost, number of gates, location of garbage outputs, and delay, are proposed. ...