Patents by Inventor Daniel M. Davenport

Daniel M. Davenport 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).

  • Patent number: 10417553
    Abstract: Aspects of the disclosure provide a method for configuring a Quantum Annealing (QA) device. Then QA device has a plurality of qubits and a plurality of couplers at overlapping intersections of the qubits. The method includes mapping a node of a neural network that have a plurality of nodes and connections between the nodes to a qubit in the QA device, and mapping a connection of the neural network to a coupler at an intersection in the QA device where two qubits corresponding to two nodes connected by the connection intersect. The method further includes mapping a node of the neural network to a chain of qubits. In an embodiment, a coupling between qubits in the chain is configured to be a ferromagnetic coupling in order to map the node of the neural network to the chain of qubits.
    Type: Grant
    Filed: May 1, 2015
    Date of Patent: September 17, 2019
    Assignee: Lockheed Martin Corporation
    Inventors: Steven H. Adachi, Daniel M. Davenport, Maxwell P. Henderson
  • Publication number: 20150317558
    Abstract: Aspects of the disclosure provide a method for configuring a Quantum Annealing (QA) device. Then QA device has a plurality of qubits and a plurality of couplers at overlapping intersections of the qubits. The method includes mapping a node of a neural network that have a plurality of nodes and connections between the nodes to a qubit in the QA device, and mapping a connection of the neural network to a coupler at an intersection in the QA device where two qubits corresponding to two nodes connected by the connection intersect. The method further includes mapping a node of the neural network to a chain of qubits. In an embodiment, a coupling between qubits in the chain is configured to be a ferromagnetic coupling in order to map the node of the neural network to the chain of qubits.
    Type: Application
    Filed: May 1, 2015
    Publication date: November 5, 2015
    Applicant: Lockheed Martin Corporation
    Inventors: Steven H. Adachi, Daniel M. Davenport, Maxwell P. Henderson
  • Patent number: 9158761
    Abstract: Diaculture of text can be determined or analyzed by tokenizing words of the text according to a rule set to generate tokenized text, the rule set defining: a first set of grammatical types of words, which are words that are replaced with tokens that respectively indicate a grammatical type of a respective word, and a second set of grammatical types of words, which are words that are passed as tokens without changing. Grams can be constructed from the tokenized text, each gram including one or more of consecutive tokens from the tokenized text. The grams can be compared to a training data set that corresponds to a known diaculture to obtain a comparison result that indicates how well the text matches the training data set for the known diaculture.
    Type: Grant
    Filed: March 28, 2013
    Date of Patent: October 13, 2015
    Assignee: LOCKHEED MARTIN CORPORATION
    Inventors: Sarah M. Taylor, Daniel M. Davenport, David Menaker, Rosemary D. Paradis
  • Publication number: 20020049711
    Abstract: A method comprises accessing data in a data warehouse having a hierarchical tree with a default successor and at least one non-default successor, where the non-default successors represent data information in databases of the data warehouse. A query comprising given information on data of interest is received and responded to with a response on the data of interest. When the given information comprises an instance of a default successor, the data of interest cannot be identified as available from the databases. When the given information has compatibility with more than one non-default successor, the data of interest may be available from the databases. When the given information has compatibility with one non-default successor, the data of interest has been identified as available from one non-default successor.
    Type: Application
    Filed: May 7, 2001
    Publication date: April 25, 2002
    Inventor: Daniel M. Davenport