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46 results about "Quantum clustering" patented technology

Identifying Related Objects Using Quantum Clustering

Techniques for grouping related objects such as documents and files using quantum clustering are disclosed. A method may include constructing a feature-object database of multiple objects. The feature-object database may have quantized selected features as keys. A connected objects database maybe built. Clusters of connected objects may be identified in the connected objects database. The clusters of identified objects may be evaluated to determine groups of related objects. The method may be implemented on a computing device.
Owner:PROOFPOINT INC +1

Identifying related objects using quantum clustering

Techniques for grouping related objects such as documents and files using quantum clustering are disclosed. A method may include constructing a feature-object database of multiple objects. The feature-object database may have quantized selected features as keys. A connected objects database maybe built. Clusters of connected objects may be identified in the connected objects database. The clusters of identified objects may be evaluated to determine groups of related objects. The method may be implemented on a computing device.
Owner:PROOFPOINT INC +1

Method and apparatus for quantum clustering

A method of determining clusters of data within a dataset, the dataset is represented by a plurality of multidimensional data entries, the method comprises (a) spanning a space, represented by a plurality of points; (b) determining a density function over the space;(c) associating a potential to the density function; (d) locating a plurality of local minima of the potential; and (e) for each of the plurality of local minima, attributing at least one of the points; thereby determining clusters of data within the dataset.
Owner:RAMOT AT TEL AVIV UNIV LTD

Method and apparatus for quantum clustering

A method of determining clusters of data within a dataset, the dataset is represented by a plurality of multidimensional data entries, the method comprises (a) spanning a space, represented by a plurality of points; (b) determining a density function over the space;(c) associating a potential to the density function; (d) locating a plurality of local minima of the potential; and (e) for each of the plurality of local minima, attributing at least one of the points; thereby determining clusters of data within the dataset.
Owner:RAMOT AT TEL AVIV UNIV LTD

Systems and methods for determining optimal parameters for dynamic quantum clustering analyses

In the present work, quantum clustering is extended to provide a dynamical approach for data clustering using a time-dependent Schrödinger equation. To expedite computations, we can approximate the time-dependent Hamiltonian formalism by a truncated calculation within a set of Gaussian wave-functions (coherent states) centered around the original points. This allows for analytic evaluation of the time evolution of all such states, opening up the possibility of exploration of relationships among data points through observation of varying dynamical-distances among points and convergence of points into clusters. This formalism may be further supplemented by preprocessing, such as dimensional reduction through singular value decomposition and / or feature filtering. Additionally, the parameters of the analysis can be modified in order to improve the efficiency of the dynamic quantum clustering processes.
Owner:THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV +1

Stable Atomic Quantum Clusters, Production Method Thereof and Use of Same

Stable atomic quantum clusters, AQCs, characterized by being composed of at least 500 metal atoms, its production process characterized by having a kinetic control and by maintaining a low concentration of reagents in the reaction medium, as well as the uses of these clusters as sensors (fluorescent, magnetic or chemical), electrocatalysts and as cytostatics and / or cytotoxics.
Owner:UNIVERSITY OF SANTIAGO DE COMPOSTELA

Immune clone quantum clustering-based SAR image segmenting method

InactiveCN101699514AOvercome the defect that it is easy to fall into local extremumOvercome limitationsImage analysisGenetic modelsAntibody AffinitiesData set
The invention discloses an immune clone quantum clustering-based SAR image segmenting method, which relates to the technical field of image processing, and mainly solves the problem of limitation on the application of the conventional quantum clustering technology in a large-scale data set. The immune clone quantum clustering-based SAR image segmenting method is implemented by the following steps: 1) extracting features of an SAR image to be segmented; 2) initializing an antibody population and coding antibodies; 3) calculating antibody affinity according to quantum mechanical characteristics, and dividing the antibody population into an elite population and a general population; 4) designing different immune clone optimization operators for the elite population and the general population respectively, and performing a cloning operation, a normal cloud model-based adaptive mutation operation, a uniform hypermutation operation, a clonal selection operation and a hypercube interlace operation orderly; and 5) outputting an SAR image segmentation result. The immune clone quantum clustering-based SAR image segmenting method has high iteration optimization speed and high stability, can effectively segment the SAR image which contains large-scale data volume, and is suitable for object detection and identification of the SAR image.
Owner:XIDIAN UNIV

Photoconversion of light using metal supported atomic quantum clusters

The present invention discloses the use of a metal nanoparticle which comprises at least one semiconductor attached to it, wherein the at least one semiconductor is an atomic quantum cluster (AQC) consisting of between 2 and 55 zero-valent transition metal atoms, as photocatalysts in photocatalytic processes and applications thereof.
Owner:UNIVERSITY OF SANTIAGO DE COMPOSTELA

Use of luminescent nanosystems for authenticating security documents

The present invention relates to the use of nanosystems as non deactivable security markers comprising metal atomic quantum clusters (AQCs) of at least two different size distributions encapsulated in a cavity with an inner diameter less than or equal to approximately 10 nm. These nanosystems are luminescence, particularly fluorescence after external excitation. The invention also relates to security documents, articles or elements incorporating these markers as well as to a method and a system for detecting the same.
Owner:FAB NACIONAL DE MONEDA Y TIMBRE REAL CASA DE LA MONEDA +1

Interval type II intuitionistic fuzzy random vector function connected neural network design method

The invention relates to the technical field of computational intelligence, in particular to an interval type II intuitionistic fuzzy random vector function connection neural network design method. The interval type II intuitionistic fuzzy random vector function connection neural network design method comprises the following steps: constructing an interval type II intuitionistic fuzzy random vector function connection neural network; adopting a hybrid learning method combining quantum clustering algorithm, swarm intelligence algorithm and least square method to adjust the structure and parameters of the neural network. The neural network adopts the membership function and the non-membership function based on the beta function as the forepart of the fuzzy rule, and adopts the random vectorfunction to connect the neural network as the afterpart of the interval fuzzy rule. The IT2IF-RVFLNN designed by the invention can achieve global approximation.
Owner:HENAN UNIVERSITY OF TECHNOLOGY

Detection of quantity of water flow using quantum clusters

The preparation of silver quantum clusters embedded in organic-templated-boehmite-nanoarchitecture (OTBN) and its use as a sensor for quantity of water flow measured by change of color in visible light upon flow of contaminated water have been provided. Silver quantum clusters-embedded OTBN are highly luminescent. Since the quantum clusters are embedded in the matrix, they are highly stable over a long period of time. The composition described here is utilized in the form of a device for ‘visible / ultraviolet light color change-based detection’ upon passage of water through a water purification device. Upon interaction with ions present in water, luminescent silver clusters undergo chemical transformation to Ag2S nanoparticles. The transformation is reflected in the form of visible color change (from pink to black) and luminescence quenching (from red emission to negligible luminescence).
Owner:INDIAN INST OF TECH

Quantum clustering system and method for law texts

The invention provides a quantum clustering system and method for law texts. The quantum clustering system comprises a law document input system, a law text quantum clustering mining system, a database and a law document output system; and related law texts are input by the law document input system, preprocessed and cleaned by the law text quantum clustering mining system and then stored in the database. The law text quantum clustering mining system conducts clustering analysis on the law texts completing preliminary processing and cleaning, wherein the processed law texts or records are described by using quantum state functions, all the texts and records are grouped, the similar texts and records are gathered into one cluster, a large number of texts can be quickly processed by means ofthe superimposition characteristic, the coherence characteristic and the entanglement characteristic of the quantum state functions, text clustering in any shapes and abnormal phenomena and behaviorsof the texts are discovered, and a quantum clustering mining result is output graphically for a decision-making reference of a user.
Owner:CHINA THREE GORGES UNIV

Stealth target detecting device and method

InactiveCN107688176AImprove detection distanceImprove target discovery abilityRadio wave reradiation/reflectionBell stateMicrowave
The invention discloses a stealth target detecting device and method. The method comprises the steps that a pure-state entangled quantum cluster is prepared; a known quantum state is modulated, bell-state measurement is conducted on the known quantum state and one quantum in the pure-state entangled quantum cluster, at this point, other quanta change into collapsed quantum states, and a classicalinformation piece is obtained; an arbitrary quantum of the collapsed quantum states is emitted into a target airspace, decoherence happens to the detection quantum, U-transformation is conducted on one quantum of other collapsed quantum states and the classical information piece, an obtained state is not known quantum states, and according to emission time of the probe quantum and U-transformationtime, the speed and orientation of a stealth target are calculated. According to the device and the method, based on the characteristic that decoherence is caused to the entangled-state quantum due to environmental interference, detection of the stealth target is achieved; the better the performance of a target microwave absorbing material and a target plasma shielding material is, the higher thedetection precision is; the problem is solved that backward signals of traditional quantum radars get weaker when the performance of the microwave absorbing material and the plasma shielding materialis improved continuously, so that the detection distance keeps getting shorter.
Owner:BORUITAIKE SCI & TECH NINGBO CO LTD

One pot process for the prepration of gold quantum clusters

The invention disclosed herein provides tunable process for the preparation of water dispersive, biocompatible, fluorescent L-cystine labeled gold (Au) quantum clusters without using any toxic reactants. Further the invention discloses application of synthesized fluorescent gold (Au) quantum clusters in the field of nano-medicine, fluorescence imaging and florescence based sensors.
Owner:COUNCIL OF SCI & IND RES

Solid state light emitting device and method for making the same

InactiveUS20120112160A1Improve internal quantum efficiencyImproving internal quantum efficiency and light emission uniformity of light emittingSemiconductor/solid-state device manufacturingSemiconductor devicesElectricityLight emitting device
A method for making a solid state light emitting device includes: (a) forming a first cladding layer on a substrate; (b) forming a matrix layer above the first cladding layer, the matrix layer having a top surface and being formed with a plurality of isolated spaces; (c) epitaxially forming a quantum cluster in each of the spaces such that the top surface of the matrix layer and top surfaces of the quantum clusters cooperatively define a coplanar surface, the quantum clusters cooperating with the matrix layer to form a light emitting layer; (d) forming a second cladding layer on the light emitting layer; and (e) forming an electrode unit electrically connected to the first and second cladding layers.
Owner:LEXTAR ELECTRONICS CORP

Process for preparing anisotropic metal nanoparticles

The present invention relates to a new method for preparing anisotropic metal nanoparticles with high aspect ratios and different types of structures by means of catalysis by Atomic Quantum Clusters (AQCs).
Owner:UNIVERSITY OF SANTIAGO DE COMPOSTELA +1

Multi-elite immune quantum clustering-based medical image segmenting system and multi-elite immune quantum clustering-based medical image segmenting method

InactiveCN101699515BOvercome the defect that it is easy to fall into local extremumOvercome limitationsImage analysisGenetic modelsAntibody AffinitiesImage segmentation
The invention discloses a multi-elite immune quantum clustering-based medical image segmenting system and a multi-elite immune quantum clustering-based medical image segmenting method, which relate to the technical field of image processing. The system comprises a preprocessing module, a data preparing module, a data clustering module and a segmentation result output module. The process for segmenting a medical image by the modules comprises the following steps: 1) preprocessing the medical image to be segmented; 2) coding antibodies and initializing an antibody population; 3) calculating antibody affinity, and dividing the antibody population into an elite population and a general population; 4) designing different multi-elite immune optimization operators for the elite population and the general population respectively, and performing a cloning operation, a cloud mutation operation, an all-interference recombination operation, a selecting operation and a hypercube interlace operation orderly; and 5) outputting a medical image segmentation result. The multi-elite immune quantum clustering-based medical image segmenting system and the multi-elite immune quantum clustering-based medical image segmenting method can effectively segment the medical image which contains large-scale data volume, has an accurate and precise segmentation result, and can be used for auxiliary diagnosisof the medical image and pathogenesis research.
Owner:XIDIAN UNIV

Green-white fluorescent silver quantum cluster-doped fluorphosphate glass based on non-bridging oxygen coordination and preparation method thereof

The invention discloses a green-white fluorescent silver quantum cluster-doped fluorphosphate glass based on non-bridging oxygen coordination, which is prepared from the following components in mole percentage: 30 to 55 percent of ZnF2, 25 to 55 percent of P2O5, 5 to 10 percent of SnO2, 5 to 10 percent of In2O3 and 0.1 to 3 percent of Ag, and a two-step high-temperature founding method is adoptedfor preparation. The glass prepared by the invention has broad-spectrum high-performance fluorescence characteristic within the visible light band and good physicochemical stability, and can be produced into a sheet applied to modulate the solar spectrum to increase the energy conversion efficiency of solar cells, or can cooperate with an ultraviolet LED (light-emitting diode) chip to serve as a fluorescence conversion layer applied in white-light LED illumination.
Owner:ZHEJIANG UNIV

Quantum clustering method based on machine learning framework and related device

The invention discloses a quantum clustering method based on a machine learning framework and a related device, and the method comprises the steps: building a quantum machine learning clustering model based on an obtained sample data set and k initial clustering centers through calling a quantum module, and operating the quantum machine learning clustering model to obtain output data; and then, a data structure module is called to determine the similarity between each piece of sample data in a sample data set and the k initial clustering centers based on the output data, so that comparison of distances between data in a classical clustering algorithm is converted into comparison of similarity between quantum states of quantum bits, and the similarity between the quantum states of the quantum bits is obtained by utilizing the property of quantum superposition. The occupancy rate of a classical k-means algorithm on computing resources is reduced; and finally, determining a target cluster to which each piece of sample data belongs based on the similarity, so that the speed of a clustering algorithm is improved.
Owner:ORIGIN QUANTUM COMPUTING TECH (HEFEI) CO LTD

Visual detection of mercury ions

Composite materials comprising a mesoflower structure, methods of preparing the composite material, and methods of detecting heavy metal ion using the composite material are described herein. In some embodiments, a silica-coated gold mesoflower with a layer of silver quantum clusters may be capable of detecting Hg2+ ions in a sample at zeptomolar concentrations.
Owner:印度马德拉斯理工学院

Detection of quantity of water flow using quantum clusters

The preparation of silver quantum clusters embedded in organic-templated-boehmite-nanoarchitecture (OTBN) and its use as a sensor for quantity of water flow measured by change of color in visible light upon flow of contaminated water have been provided. Silver quantum clusters-embedded OTBN are highly luminescent. Since the quantum clusters are embedded in the matrix, they are highly stable over a long period of time. The composition described here is utilized in the form of a device for ‘visible / ultraviolet light color change-based detection’ upon passage of water through a water purification device. Upon interaction with ions present in water, luminescent silver clusters undergo chemical transformation to Ag2S nanoparticles. The transformation is reflected in the form of visible color change (from pink to black) and luminescence quenching (from red emission to negligible luminescence).
Owner:INDIAN INST OF TECH

Quantum clustering method based on nearest neighbor KNN and improved wave function

The invention provides a quantum clustering method based on a nearest neighbor KNN and an improved wave function, and the method comprises the steps: obtaining original data of a group of to-be-classified sample points, carrying out the normalization of the original data, determining the input parameters of a quantum clustering model based on the nearest neighbor KNN, calculating the wave function parameters of all sample points, and carrying out the calculation of the wave function parameters of all sample points; the wave function parameters comprise the steps of calculating scale parameters and shape parameters of distribution obeyed by wave functions, calculating potential energy surfaces of quantum clustering, and determining the classification number and classification boundaries according to the calculated potential energy surfaces. The method provided by the invention inherits all advantages of a quantum clustering method, is more suitable for classifying data obeying Weibull distribution, provides a new choice for data classification, does not need to manually give any input parameter and does not need to give a classification label of sample data at the same time, and can be applied to the field of data classification. The input parameters of the quantum clustering model can be calculated, the practicability is high, and the accuracy is high.
Owner:BEIHANG UNIV

Quantum clustering algorithm improvement method oriented to classification attribute data

According to the classification attribute data-oriented quantum clustering algorithm improvement method provided by the invention, the potential energy of the data points is calculated by using the quantum potential energy function according to the characteristics of the classification attribute data, and the potential classification problem of the classification data is solved. The lowest point of potential energy is used as the center of clustering, the scale parameter of the wave function is calculated by using the kernel width adjustment parameter, and the clustering range of the classification attribute data is solved. Furthermore, the influence of data attributes on a classification result is considered, a traditional Euclidean distance is utilized, an estimation formula of a kernel width adjustment parameter is given, and the calculation problem of an internal relation between the number of samples and dimensions is solved. The method has good calculation accuracy for classification attribute data.
Owner:中国船舶集团有限公司第七二四研究所
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