Patents by Inventor Frederik Frank Flöther
Frederik Frank Flöther has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11941000Abstract: An embodiment includes processing a dataset to generate a set of feature vectors that include a first feature vector corresponding to a first concept within a user's areas of interest and a second feature vector corresponding to a second concept within the user's areas of study. The embodiment identifies clusters of the feature vectors and identifies key features that most contribute to influencing the clustering algorithm. The embodiment selects the first feature vector in response to a user query, and then selects the second feature vector based on an overlap between key features of the first and second feature vectors and a degree of dissimilarity between the first and second concepts. The embodiment outputs a query response that includes the second concept. The embodiment also determines an effectiveness value based on sensor data indicative of a user action responsive to the outputting of the response to the query.Type: GrantFiled: April 16, 2021Date of Patent: March 26, 2024Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Shikhar Kwatra, Robert E. Loredo, Frederik Frank Flöther, Stefan Ravizza
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Publication number: 20240037439Abstract: Systems/techniques that facilitate quantum system selection via coupling map comparison are provided. In various embodiments, a system can access a quantum machine learning (QML) model. In various aspects, the system can identify, from a set of quantum computing systems, a quantum computing system for the QML model, based on a comparison between a first coupling map of the quantum computing system and a second coupling map on which the QML model was trained. If the second coupling map topologically matches the first coupling map or topologically matches a subgraph of the first coupling map, the system can execute the QML model on the quantum computing system. Otherwise, the system can adjust the QML model and can accordingly execute the adjusted QML model on the quantum computing system.Type: ApplicationFiled: July 27, 2022Publication date: February 1, 2024Inventors: John S. Werner, Vladimir Rastunkov, Frederik Frank Flöther
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Publication number: 20230385682Abstract: A method of generating a classical model to simulate a quantum computational model includes 1) inputting into a quantum computational model a dataset, the quantum computational model being implemented on a quantum computer, 2) computing output results with the quantum computational model using the quantum computer, 3) introducing a variation to at least a portion of the dataset into the quantum computer, 4) computing updated output results of the quantum computational model based on the variation of the at least the portion of the dataset using the quantum computer, and 5) generating a classical twin model of the quantum computational model based on a relationship of the output results and updated output results to the dataset from the quantum computational model.Type: ApplicationFiled: May 26, 2022Publication date: November 30, 2023Inventors: Vladimir Rastunkov, Frederik Frank Flöther, Amol Deshmukh, Shikhar Kwatra
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Publication number: 20230376829Abstract: A processor may gather raw data comprising a plurality of characteristic data samples of a target user group. The processor may categorize the characteristic data samples into a plurality of user-related classes and triggers. The processor may build an input property graph for each characteristic data sample. The processor may augment the input property graph by a concept of hierarchies. The processor may determine a modification vector from the augmented input property graph. The processor may train an encoder/decoder combination machine-learning system. An embedding vector and a modification vector are used as input for the decoder to build a trained machine-learning generative model.Type: ApplicationFiled: May 20, 2022Publication date: November 23, 2023Inventors: Andrea Giovannini, Frederik Frank Flöther, Patrick Lustenberger, David Ocheltree
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Publication number: 20230376577Abstract: A computer-implemented method, system and computer program product for watermarking quantum models. A precision for a parameter of a quantum model on a quantum computer is determined. The parameter is then truncated based on the determined precision. Furthermore, the watermark is appended in one or more positions of truncated portion of the truncated parameter. In this manner, watermarking quantum models, such as quantum machine learning models, is achieved.Type: ApplicationFiled: May 18, 2022Publication date: November 23, 2023Inventors: Frederik Frank Flöther, Matthias Biniok, Shikhar Kwatra, Vladimir Rastunkov
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Patent number: 11822533Abstract: A computer-implemented method for managing updates to a knowledge graph with incoming change requests is disclosed. The method comprises creating a snapshot of the knowledge graph, building sub-regions of the knowledge graph, classifying each incoming change to the knowledge graph so that it relates to one of the sub-regions, creating at least one change layer, wherein each of the at least one change layer relates to one of the sub-regions, wherein each of the at least one change layer comprises a portion of the incoming change requests, closing the at least one change layer upon reaching a predetermined threshold value for the at least one change layer, and integrating the at least one change layer into the knowledge graph, thereby generating a updated knowledge graph.Type: GrantFiled: December 1, 2021Date of Patent: November 21, 2023Assignee: International Business Machines CorporationInventors: Frederik Frank Flöther, Stefan A. G. Van Der Stockt, Erik Rueger, Matthias Biniok, Maximilian Ott
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Publication number: 20230325568Abstract: Systems and techniques that facilitate quantum circuit valuation are provided. In various embodiments, a system can comprise an input component that can access a first quantum circuit. In various embodiments, the system can further comprise a valuation component that can appraise the first quantum circuit based on one or more factors (e.g., frequency factor, complexity factor, resource factor, similarity factor), thereby yielding a value score that characterizes the first quantum circuit. In various instances, the system can further comprise an execution component that can recommend deployment of the first quantum circuit based on determining that the value score exceeds a threshold.Type: ApplicationFiled: May 9, 2023Publication date: October 12, 2023Inventors: Frederik Frank Flöther, Robert E. Loredo, Shikhar Kwatra, Paul R. Bastide
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Publication number: 20230196160Abstract: Apparatuses, system, and computer-implemented methods to facilitate physical representation of quantum entanglement are provided. According to an embodiment, an apparatus can comprise two or more qubit representation devices that interact with one another in a defined manner, and a display component operatively coupled to at least one of the two or more qubit representation devices, wherein the display component outputs a visual indicator of quantum entanglement between the two or more qubit representation devices.Type: ApplicationFiled: December 17, 2021Publication date: June 22, 2023Inventors: Frederik Frank Flöther, Jared Andrew Limberg, Vinod A. Valecha, Freddy Lorge
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Patent number: 11681845Abstract: Systems and techniques that facilitate quantum circuit valuation are provided. In various embodiments, a system can comprise an input component that can access a first quantum circuit. In various embodiments, the system can further comprise a valuation component that can appraise the first quantum circuit based on one or more factors (e.g., frequency factor, complexity factor, resource factor, similarity factor), thereby yielding a value score that characterizes the first quantum circuit. In various instances, the system can further comprise an execution component that can recommend deployment of the first quantum circuit based on determining that the value score exceeds a threshold.Type: GrantFiled: January 28, 2021Date of Patent: June 20, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Frederik Frank Flöther, Robert E. Loredo, Shikhar Kwatra, Paul R. Bastide
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Publication number: 20230177372Abstract: To obtain meaningful computational results despite limits on the amount of data that can be input to a quantum computer, a data selection system uses an iterative approach to select a suitable subset of data to be input to a quantum device for processing by a quantum algorithm. The system compresses and clusters a data set according to a task-specific distribution criteria and selects a subset of this clustered data corresponding to representative cases of the data. The selected subset is processed by the quantum device and the system generates a metric score based on the degree to which the results satisfy a performance criterion. The selected subset is refined over multiple iterations based on successive metric scores until a termination criterion is reached, and the final selected subset of data is used as input to the quantum computer for execution of the processing task.Type: ApplicationFiled: December 2, 2021Publication date: June 8, 2023Inventors: Frederik Frank Flöther, Michele Grossi, Vaibhaw KUMAR, Robert E. Loredo
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Publication number: 20230169059Abstract: A computer-implemented method for managing updates to a knowledge graph with incoming change requests is disclosed. The method comprises creating a snapshot of the knowledge graph, building sub-regions of the knowledge graph, classifying each incoming change to the knowledge graph so that it relates to one of the sub-regions, creating at least one change layer, wherein each of the at least one change layer relates to one of the sub-regions, wherein each of the at least one change layer comprises a portion of the incoming change requests, closing the at least one change layer upon reaching a predetermined threshold value for the at least one change layer, and integrating the at least one change layer into the knowledge graph, thereby generating a updated knowledge graph.Type: ApplicationFiled: December 1, 2021Publication date: June 1, 2023Inventors: Frederik Frank Flöther, Stefan A. G. Van Der Stockt, Erik Rueger, Matthias Biniok, Maximilian Ott
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Patent number: 11651276Abstract: A computer-implemented method for generating a group of representative model cases for a trained machine learning model may be provided. The method comprising determining an input space, determining an initial plurality of model cases, and expanding the initial plurality of model cases by stepwise modifying field values of the records representing the initial plurality of model cases resulting in an exploration set of model cases. Additionally, the method comprises obtaining a model score value for each record of the exploration set of model cases, continuing the expansion of the exploration set of model cases thereby generating a refined model case set, and selecting the records in the refined model case set based on relative record distance values and related model score values between pairs of records, thereby generating the group of representative model cases.Type: GrantFiled: October 31, 2019Date of Patent: May 16, 2023Assignee: International Business Machines CorporationInventors: Stefan Ravizza, Andrea Giovannini, Patrick Lustenberger, Frederik Frank Flöther, Thomas Pfeiffer
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Publication number: 20230143072Abstract: Systems, computer-implemented methods, and computer program products to facilitate optimization of quantum-enhanced feature generation are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise a selection component that selects a quantum circuit for mapping a set of classical features to a quantum feature space. The computer executable components further comprise an execution component that provides the quantum circuit for execution by a quantum computer or a quantum simulator to map the set of classical features and to produce quantum-enhanced features. The computer executable components further comprise a training component that assesses selection of quantum circuits and signals the selection component to select a new quantum circuit based on the assessment.Type: ApplicationFiled: November 9, 2021Publication date: May 11, 2023Inventors: Frederik Frank Flöther, Abhijit Mitra
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Patent number: 11641330Abstract: A method for personalizing a message between a sender and a receiver is provided. The method comprises semantically analyzing a communication history to form a knowledge graph, deriving formality level values using a first trained ML model, analyzing parameter values of replies to determine receiver impact score, and training a second ML system to generate a model to predict the receiver impact score value. The method also comprises selecting a linguistic expression in a message being drafted, determining an expression intent, modifying the linguistic expression based on the formality level and the expression intent to generate a modified linguistic expression, and testing whether the modified linguistic expression has an increased likelihood of a higher receiver impact score. The method also comprises repeating selecting the linguistic expression, determining the expression intent, modifying the linguistic expression, and testing until a stop criterion is met.Type: GrantFiled: August 6, 2020Date of Patent: May 2, 2023Assignee: International Business Machines CorporationInventors: Frederik Frank Flöther, Shikhar Kwatra, Patrick Lustenberger, Stefan Ravizza
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Publication number: 20230132070Abstract: A method for enabling a transformation system, comprising a transformation model built for a first setting using first input values, to incorporate second feature values present in a second setting is disclosed. The method comprises providing training input data comprising second feature values as well as expected second results, providing a feature mapper comprising a machine-learning model, wherein output signals of the feature mapper are used as input signals for the transformation system, thereby building a combination of the feature mapper and the transformation model, training of the machine-learning model of the feature mapper using the training input data as input for the feature mapper and using the second results as expected output data of the transformation system, and deploying the combination of the feature mapper and the transformation system as a super machine-learning system comprising a super machine-learning model usable in the second setting.Type: ApplicationFiled: October 27, 2021Publication date: April 27, 2023Inventors: Christian Eggenberger, Frederik Frank Flöther, Patrick Lustenberger, Saurabh Yadav
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Patent number: 11574560Abstract: A quantum state visualization device comprising at least a portion of a spherical shell and a support structure affixed to the spherical shell. A portion of the support structure can intersect a center of the spherical shell. The quantum state visualization device further comprising a indicator pivotally attached to the support structure at the portion of the support structure intersecting the center of the spherical shell. The indicator is representative of a quantum state based on its position relative to the spherical shell.Type: GrantFiled: April 16, 2019Date of Patent: February 7, 2023Assignee: International Business Machines CorporationInventors: Jared Andrew Limberg, Frederik Frank Flöther, Cameron Donald Ferstat, Vinod A. Valecha
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Patent number: 11550827Abstract: A method and a related system for allocating target locations to optimize trajectories between several objects and the target locations may be provided. The method comprises capturing location data of the target locations as well as location and movement data of the objects, building a graph using the target locations as well as the location and movement data and integrating constraints into the graph. Furthermore, the method comprises determining for each of the several objects a desired target location using a first optimization system, thereby determining endpoints of a trajectory between each of the objects and its respective desired target location and selecting for each of the several objects an optimal path as the trajectory between the object and the desired target location, using a second optimization system, and taking into account movements of other objects along their trajectories.Type: GrantFiled: September 22, 2020Date of Patent: January 10, 2023Assignee: International Business Machines CorporationInventors: Stefan Ravizza, Shikhar Kwatra, Frederik Frank Flöther, Saurabh Yadav
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Patent number: 11551129Abstract: Systems, computer-implemented methods, and computer program products to facilitate quantum platform routing of a quantum application component are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a dissection component that identifies one or more components of a quantum application. The computer executable components can further comprise a determination component that selects at least one quantum platform to execute the one or more components of the quantum application based on a defined run criterion.Type: GrantFiled: September 30, 2019Date of Patent: January 10, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jared Andrew Limberg, Frederik Frank Flöther, Vinod A. Valecha
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Publication number: 20220335041Abstract: An embodiment includes processing a dataset to generate a set of feature vectors that include a first feature vector corresponding to a first concept within a user's areas of interest and a second feature vector corresponding to a second concept within the user's areas of study. The embodiment identifies clusters of the feature vectors and identifies key features that most contribute to influencing the clustering algorithm. The embodiment selects the first feature vector in response to a user query, and then selects the second feature vector based on an overlap between key features of the first and second feature vectors and a degree of dissimilarity between the first and second concepts. The embodiment outputs a query response that includes the second concept. The embodiment also determines an effectiveness value based on sensor data indicative of a user action responsive to the outputting of the response to the query.Type: ApplicationFiled: April 16, 2021Publication date: October 20, 2022Applicant: International Business Machines CorporationInventors: Shikhar Kwatra, Robert E. Loredo, Frederik Frank Flöther, Stefan Ravizza
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Patent number: 11403328Abstract: A method for linking a first knowledge graph (KG) and a second KG in the presence of a third KG is provided. Content of nodes of the first KG is compared to nodes of the second KG. If a first KG node has a content relationship to a related second KG node, an edge identified by a tuple identifying the first KG and the first KG node and a tuple identifying the second KG and the second KG node is stored in a meta-layer KG. The method comprises comparing content of the nodes from the third KG with the content of nodes from the first and second KG, and in case relationships are identified, more complex tuples establishing this relationship in the meta-layer are stored. Finally, the method also comprises storing at least all nodes and edges of the meta-layer knowledge graph.Type: GrantFiled: March 8, 2019Date of Patent: August 2, 2022Assignee: International Business Machines CorporationInventors: Stefan Ravizza, Frederik Frank Flöther, Florian Graf, Erik Rueger, Andrea Giovannini