Abstract:
The system may be used for three-dimensional analysis of surface defects and microdefects performed by correlating two images of the surface according to the general criteria of stereoscopic vision. The system may be implemented by integrating, in a single monolithic component made using VLSI CMOS technology, an optical sensor with a cellular neural network comprising a matrix of cells configured as analog processors.
Abstract:
A hardware quantum gate for performing quantum algorithms in a very fast manner exploits the fact that a large number of multiplications required by the entanglement operation of quantum algorithms gives a null result, because only one component per row of the entanglement matrix U F is non null. The entanglement operation generates an entanglement vector by permuting or not the places of couples of opposite components of a linear superposition vector, depending on the value assumed by the function f(.) . More specifically, if function f(.) is null in correspondence of the vector identified by the first (leftmost) n qubits in common of the two n +1 qubit vectors to which a couple of opposite components that of the superposition vector is referred to, then the corresponding couple of components of the entanglement vector is equal to that of the superposition vector, otherwise is the opposite. Therefore, it is not necessary to calculate the entanglement matrix U F to generate an entanglement vector from a superposition vector, but it is sufficient copying or inverting components of a superposition vector to generate corresponding components of an entanglement vector, depending on the values of the function f(.) processed by the quantum algorithm. This can be easily done using driven switches input with a pair of components of opposite value of a superposition vector.
Abstract:
The invention relates to an integrated cellular network structure, being programmable to solve partial derivative differential equations in order to control a phenomenon of diffusion or a propagation of electric drive pulses for robot actuators. Advantageously, such structure comprises analog and digital portions interconnected with each other; the analog portion includes a matrix array (6) of analog cells (2) arranged to receive data from an I/O interface (7), and the digital portion includes first and second memory arrays (8,9) for storing a desired configuration and the initial state of such analog matrix array (6), respectively.
Abstract:
The invention concerns a robust communication system (1) for transmissions through a noisy environment, which comprises a cascade of a discrete signal source (2), a chaotic modulator (3) for the signal, a noisy transmission channel (4), and an incoherent discriminator or receiver (5). Advantageously in a preferred embodiment, the incoherent discriminator (5) comprises a high-pass filter (6) effective to remove the lowest frequency harmonics of the received signal, a rectifier (7) providing the absolute value of the wave, a low-pass filter (8) carrying out a mean of the rectified wave, and a comparator (9) placed after the low-pass filter.
Abstract:
The invention concerns a new method of controlling the movements of a multi-actuator electromechanical system which has a matrix of locally interconnected analog cells associated therewith. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model is constructed as a fuzzy circuit architecture which is implemented, preferably, in the form of an integrated circuit with VLSI CMOS technology which generates and controls the reaction diffusion mechanism typical of auto-waves by means of a fuzzy neural network. This fuzzy neural network defines the functional relationships which can duplicate simultaneous reaction diffusion equations, and the duplication of such simultaneous equations is provided by two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cell plurality and imposing on each cell a dynamics of the oscillatory type wherein two dynamic processes having different kynetic characteristics coexist.
Abstract:
In the present method of performing a quantum algorithm the superposition, entanglement and interference operators are determined for performing selection, crossover and mutation operations according to a genetic algorithm. Moreover, entanglement vectors generated by the entanglement operator of the quantum algorithm may be processed by a wise controller implementing a genetic algorithm, before being input to the interference operator. This algorithm may be easily implemented with a hardware quantum gate or with a software computer program running on a computer. Moreover, it can be used in a method for controlling a process and a relative control device of a process which is more robust, requires very little initial information about dynamic behavior of control objects in design process of intelligent control system, or random noise insensitive (invariant) in measurement system and in control feedback loop.
Abstract:
A quantum gate for carrying out a Grover's quantum algorithm using a certain binary function ( f ) defined on a space having a vector basis of n qubits, comprises a superposition subsystem carrying out a superposition operation on components of input vectors for generating components of superposition vectors on a second vector basis of n +1 qubits, an entanglement subsystem carrying out an entanglement operation on components of said linear superposition vectors for generating components of entanglement vectors, and an interference subsystem carrying out an interference operation on components of said entanglement vectors for generating components of output vectors. This quantum gate is capable of performing the interference operation of Grover's algorithm in an extremely fast manner by employing an adder input with signals representing even or odd components of an entanglement vector and generating a sum signal representing a weighted sum with a scale factor of the even or odd components, and an array of adders each input with a respective signal representative of an even or odd component, respectively, of an entanglement vector, and with the weighted sum signal, and generating a signal representative of an even or odd component, respectively, of an output vector as the difference between the weighted sum signal and the signal representing an even or odd component of an entanglement vector. A method for carrying out an interference operation of a Grover's quantum algorithm is also disclosed.