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1. 发明授权

US06748370B2 Integrated cellular network structure that is programmable for solving differential equations 有权
标题翻译：可编程用于求解微分方程的集成蜂窝网络结构
公开(公告)号：US06748370B2
公开(公告)日：2004-06-08
申请号：US09898906
申请日：2001-07-03
申请人： Paolo Arena , Luigi Occhipinti , Marco Branciforte , Giovanni Di Bernardo
发明人： Paolo Arena , Luigi Occhipinti , Marco Branciforte , Giovanni Di Bernardo
IPC分类号： G06F1518
CPC分类号： G06F17/13
摘要： An integrated cellular network structure that is 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. Such structure includes analog and digital portions interconnected with each other; the analog portion having a matrix array of analog cells arranged to receive data from an I/O interface, and the digital portion having first and second memory arrays for storing a desired configuration and the initial state of such analog matrix array, respectively.
摘要翻译：一种集成的蜂窝网络结构，其可编程以解决偏微分方程，以便控制用于机器人致动器的电驱动脉冲的扩散现象或传播现象。这种结构包括彼此互连的模拟和数字部分; 所述模拟部分具有被配置为从I / O接口接收数据的模拟单元的矩阵阵列，并且所述数字部分分别具有用于存储所需配置和所述模拟矩阵阵列的初始状态的第一和第二存储器阵列。

2. 发明授权

US06728687B2 Electronic circuit for controlling a movement by a fuzzy cellular architecture 有权
标题翻译：用于通过模糊蜂窝架构来控制移动的电子电路
公开(公告)号：US06728687B2
公开(公告)日：2004-04-27
申请号：US09727302
申请日：2000-11-29
申请人： Paolo Arena , Marco Branciforte , Giovanni Di Bernardo , Luigi Occhipinti
发明人： Paolo Arena , Marco Branciforte , Giovanni Di Bernardo , Luigi Occhipinti
IPC分类号： G06G700
CPC分类号： B25J9/161 , G05B2219/34065 , G06N7/04
摘要： A method of controlling the movements of a multi-actuator electro-mechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.
摘要翻译：提供了一种控制具有与其相关联的局部互连的模拟单元的矩阵的多致动器机电系统的运动的方法。每个单元代表模糊推理规则模型的硬件实现。该模型包括模糊电路架构，其可以在VLSI CMOS技术的集成电路中实现，该技术生成并控制使用模糊神经网络的自动波的典型反应扩散机制。模糊神经网络定义了可能重复同时反应扩散方程的功能关系。使用两组模糊规则，以语言方式处理单元的状态变量来提供同时反应扩散方程的重复。对具有不同动力特性的两个动态过程共存的每个单元施加振荡型动态。

3. 发明授权

US07359928B2 Hardware quantum gate 有权
标题翻译：硬件量子门
公开(公告)号：US07359928B2
公开(公告)日：2008-04-15
申请号：US10701150
申请日：2003-11-04
申请人： Domenico Porto , Marco Branciforte , Lucio Ticli
发明人： Domenico Porto , Marco Branciforte , Lucio Ticli
IPC分类号： G06F7/00
CPC分类号： G06N99/002 , B82Y10/00
摘要： A hardware quantum gate for running quantum algorithms in a very fast manner exploits the fact that a large number of multiplications required by an entanglement operation of the quantum algorithm provides a null result since only one component per row of the entanglement matrix UF is not a null. The entanglement operation generates an entanglement vector by permuting pairs 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 to the vector identified by the first (leftmost) n qubits in common with the two n+1 qubit vectors, in which a pair of opposite components of the superposition vector is referred to, then the corresponding pair of components of the entanglement vector is equal to that of the superposition vector, otherwise it is the opposite.
摘要翻译：用于以非常快速的方式运行量子算法的硬件量子门利用了这样的事实，即量子算法的纠缠操作所需的大量乘法提供了空值结果，因为每行纠缠矩阵UF中只有一个分量不是空值。缠结操作通过根据函数f所假设的值来排列线性叠加矢量的相对分量对来产生纠缠矢量。更具体地说，如果函数f对应于与由两个n + 1量子位矢量共同的第一（最左）n个量子位所确定的矢量为零，其中参考叠加矢量的一对相反分量，则纠缠矢量的对应的一对分量等于叠加矢量的分量，否则是相反的。

4. 发明授权

US06738313B2 System for detecting distances using chaotic signals 有权
标题翻译：使用混沌信号检测距离的系统
公开(公告)号：US06738313B2
公开(公告)日：2004-05-18
申请号：US10325620
申请日：2002-12-20
申请人： Luigi Fortuna , Alessandro Rizzo , Mattia Frasca , Marco Branciforte , Marco Bartolone
发明人： Luigi Fortuna , Alessandro Rizzo , Mattia Frasca , Marco Branciforte , Marco Bartolone
IPC分类号： G01S7523
CPC分类号： G01S7/523 , G01S7/537 , G01S15/102 , G01S15/931
摘要： A system for detecting distances for vehicle and robotic applications includes a transducer for generating a transmission signal to be sent in the direction of an obstacle, and for obtaining a receiving signal corresponding to an echo produced by the reflection of the transmission signal off the obstacle. The transducer is driven by a chaos generator, such as a Chua's circuit. The system also includes a correlator for correlating the transmission signal and the receiving signal so that the distance between the obstacle and the transducer is identified by an instant at which the correlation assumes a high value. The transmission signal may be a square-wave signal selectively generated with one first frequency and one second frequency, and jumps between the two frequencies are determined by the instants of emission of the pulses generated by an analog type pulse generator driven by the chaos generator.
摘要翻译：用于检测车辆和机器人应用的距离的系统包括用于产生要在障碍物的方向上发送的发送信号的换能器，并且用于获得对应于从障碍物反射发送信号产生的回波的接收信号。传感器由混沌发生器驱动，如蔡氏电路。该系统还包括用于使发送信号和接收信号相关的相关器，使得障碍物与换能器之间的距离由相关性呈现高值的瞬间识别。传输信号可以是以一个第一频率和一个第二频率选择性地产生的方波信号，并且两个频率之间的跳跃由由由混沌发生器驱动的模拟型脉冲发生器产生的脉冲的发射时间确定。

5. 发明申请

US20080140749A1 Method and device for performing a quantum algorithm to simulate a genetic algorithm 审中-公开
标题翻译：用于执行量子算法来模拟遗传算法的方法和装置
公开(公告)号：US20080140749A1
公开(公告)日：2008-06-12
申请号：US11313077
申请日：2005-12-20
申请人： Paolo Amato , Domenico Massimilano Porto , Marco Branciforte , Antonino Calabro , Sergei Viktorovitch Ulyanov , Kazuki Takahashi , Sergey Alexandrovich Panfilov , Ilya Sergeevitch Ulyanov , Liudmila Vasilievna Litvintseva
发明人： Paolo Amato , Domenico Massimilano Porto , Marco Branciforte , Antonino Calabro , Sergei Viktorovitch Ulyanov , Kazuki Takahashi , Sergey Alexandrovich Panfilov , Ilya Sergeevitch Ulyanov , Liudmila Vasilievna Litvintseva
IPC分类号： G06F7/38
CPC分类号： B82Y10/00 , G06N10/00
摘要： A method and device for performing a quantum algorithm where the superposition, entanglement with interference operators determined for performing selection, crossover, and mutation operations based upon 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 implemented with a hardware quantum gate or with a software computer program running on a computer. Further, the algorithm 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 the design process of an intelligent control system, or random noise insensitive (invariant) in a measurement system and in a control feedback loop.
摘要翻译：一种用于执行量子算法的方法和装置，其中基于遗传算法确定用于执行选择，交叉和变异操作的干扰算子的叠加纠缠。此外，由量子算法的纠缠算子产生的纠缠矢量可以在输入到干扰算子之前由实现遗传算法的明智控制器来处理。该算法可以用硬件量子门或在计算机上运行的软件计算机程序来实现。此外，该算法可以用于控制过程的方法和更健壮的过程的相对控制装置，在智能控制系统的设计过程中需要很少关于控制对象的动态行为的初始信息，或者是随机的在测量系统和控制反馈回路中噪声不敏感（不变量）。

6. 发明授权

US07334008B2 Quantum gate for carrying out a grover's quantum algorithm and a relative method of performing the interference operation of a grover's quantum algorithm 有权
标题翻译：用于执行格罗弗量子算法的量子门和执行格罗夫量子算法的干涉操作的相对方法
公开(公告)号：US07334008B2
公开(公告)日：2008-02-19
申请号：US10701160
申请日：2003-11-04
申请人： Marco Branciforte , Antonio Calabro' , Domenico Porto
发明人： Marco Branciforte , Antonio Calabro' , Domenico Porto
IPC分类号： G06F7/00
CPC分类号： G06N99/002 , B82Y10/00
摘要： A quantum gate for running a Grover's quantum algorithm using a binary function having a vector basis of n qubits is provided. The quantum gate includes a superposition subsystem, an entanglement subsystem and an interference subsystem. The interference subsystem performs an interference operation on components of entanglement vectors for generating components of output vectors. The interference subsystem performs the interference operation in a very fast manner by using an adder receiving as input 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. The interference subsystem also includes an array of adders each input with a respective signal representative of an even or odd component of an entanglement vector and with the weighted sum signal, and generates a signal representative of an even or odd component of an output vector as a difference between the weighted sum signal and the signal representing an even or odd component of an entanglement vector.
摘要翻译：提供了使用具有n个量子位的向量基础的二进制函数来运行Grover量子算法的量子门。量子门包括叠加子系统，纠缠子系统和干扰子系统。干扰子系统对纠缠矢量的分量进行干扰运算，以产生输出矢量的分量。干扰子系统通过使用接收作为表示纠缠矢量的偶数或奇数分量的输入信号的加法器以非常快速的方式执行干扰操作，并且产生表示具有偶数或奇数分量的比例因子的加权和的和信号。干扰子系统还包括加法器阵列，每个加法器输入表示纠缠矢量的偶数或奇数分量的相应信号，并且与加权和信号相加，并且产生表示输出矢量的偶数或奇数分量的信号，作为加权和信号与表示纠缠矢量的偶数或奇数分量的信号之间的差。

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