The one-way model of quantum computing [RB01] has recently emerged as one of the most promising approaches to quantum computing. It is relatively straight forward to demonstrate one-way patterns which simulate the standard unitary gates of the more traditional quantum circuit model and hence realise any circuit computation by composing the appropriate gates. In contrast, the opposite translatio...

voltages and currents are induced into electronic circuit boards as electromagnetic waves are radiated on them. the strength of induction depends on the wavefront and the circuit board characteristics. in this paper, by solving maxwell’s equations using fdtd method and then by extending it by three dimensional simulation using the gpml criteria for boundary conditions and tf/sf technique, effec...

Perception, decisions, and sensations are all encoded into trains of action potentials in the brain. The relation between stimulus strength and all-or-nothing spiking of neurons is widely believed to be the basis of this coding. This initiated the development of spiking neuron models; one of today's most powerful conceptual tool for the analysis and emulation of neural dynamics. The success of ...

the new circuit consists of a subexponential number of circuits, each of which is of subex-ponential size, the new circuit is also of subexponential size. The depth of the new circuit family is the same as fC n g but the top layer of MOD p gates has been \absorbed" into the symmetric gate computing B and been replaced by a layer of AND gates of small fan-in. Now, by an appeal to Lemma 9, the ci...

We present a framework for constructing compact FHE (fully homomorphic encryption) which is circuit-private in the malicious setting. That is, even if both maliciously formed public key and ciphertext are used, encrypted outputs only reveal the evaluation of the circuit on some well-formed input x∗. Previous literature on FHE only considered semi-honest circuit privacy. Circuit-private FHE sche...

Representation of a granule, relation and operation between two granules are mainly researched in granular computing. Hyperbox granular computing classification algorithms (HBGrC) are proposed based on interval analysis. Firstly, a granule is represented as the hyperbox which is the Cartesian product of $N$ intervals for classification in the $N$-dimensional space. Secondly, the relation betwee...