Patents by Inventor David VON DOLLEN

David VON DOLLEN 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).

  • Publication number: 20240071576
    Abstract: Approaches, techniques, and mechanisms are disclosed for predicting molecular electronic structural information. According to one embodiment, quantum simulation results are generated for a molecule based on a quantum simulation of an electronic structure of the molecule. The quantum simulation of the electronic structure of the molecule is performed with quantum processing units. An input vector comprising data field values derived from the quantum simulation results for the molecule is created. An electronic structural information prediction model is applied to generate, based at least in part on the input vector, predicted electronic structural information for the molecule.
    Type: Application
    Filed: June 21, 2023
    Publication date: February 29, 2024
    Inventors: Florian NEUKART, Michael STREIF, David VON DOLLEN, Tanja GRAF, Thomas SCHLADT, Arne-Christian VOIGT, Jonthan Edward MUELLER
  • Patent number: 11776666
    Abstract: Approaches, techniques, and mechanisms are disclosed for predicting molecular electronic structural information. According to one embodiment, quantum simulation results are generated for a molecule based on a quantum simulation of an electronic structure of the molecule. The quantum simulation of the electronic structure of the molecule is performed with quantum processing units. An input vector comprising data field values derived from the quantum simulation results for the molecule is created. An electronic structural information prediction model is applied to generate, based at least in part on the input vector, predicted electronic structural information for the molecule.
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: October 3, 2023
    Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
    Inventors: Florian Neukart, Michael Streif, David Von Dollen, Tanja Graf, Thomas Schladt, Arne-Christian Voigt, Jonathan Edward Mueller
  • Patent number: 11487921
    Abstract: A method and system perform quantum-assisted finite elements-based, design optimization of an object to minimize a shape-specific quantity by manipulating the shape of the object using a processing unit, for example, a Quantum Processing Unit (QPU). As a result, a shape-specific quantity, such as an approximation of sound pressure at a specific position around an object, can be minimized by manipulating the object shape using the QPU.
    Type: Grant
    Filed: November 1, 2019
    Date of Patent: November 1, 2022
    Inventors: Florian Neukart, Dyon Van Vreumingen, David Von Dollen, Arne-Christian Voigt, Michael Hartmann, Carsten Othmer
  • Publication number: 20200286595
    Abstract: Approaches, techniques, and mechanisms are disclosed for predicting molecular electronic structural information. According to one embodiment, quantum simulation results are generated for a molecule based on a quantum simulation of an electronic structure of the molecule. The quantum simulation of the electronic structure of the molecule is performed with quantum processing units. An input vector comprising data field values derived from the quantum simulation results for the molecule is created. An electronic structural information prediction model is applied to generate, based at least in part on the input vector, predicted electronic structural information for the molecule.
    Type: Application
    Filed: March 5, 2020
    Publication date: September 10, 2020
    Inventors: Florian Neukart, Michael Streif, David Von Dollen, Tanja Graf, Thomas Schladt, Arne-Christian Voigt, Jonathan Edward Mueller
  • Patent number: 10733877
    Abstract: A traffic flux maximization method and system to control traffic flow by combining classical computing machine learning to predict traffic flux minimization before its occurrence, with quantum annealing to optimize future positions of vehicles. Vehicles are redirected to minimize the travel time for each vehicle, taking into account other vehicles in the road network.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: August 4, 2020
    Assignees: Volkswagen AG, Audi AG
    Inventors: Florian Neukart, Gabriele Compostella, Christian Seidel, David Von Dollen
  • Publication number: 20200143008
    Abstract: A method and system perform quantum-assisted finite elements-based, design optimization of an object to minimize a shape-specific quantity by manipulating the shape of the object using a processing unit, for example, a Quantum Processing Unit (QPU). As a result, a shape-specific quantity, such as an approximation of sound pressure at a specific position around an object, can be minimized by manipulating the object shape using the QPU.
    Type: Application
    Filed: November 1, 2019
    Publication date: May 7, 2020
    Inventors: Florian NEUKART, Dyon VAN VREUMINGEN, David VON DOLLEN, Arne-Christian VOIGT, Michael HARTMANN, Carsten OTHMER
  • Publication number: 20190164418
    Abstract: A traffic flux maximization method and system to control traffic flow by combining classical computing machine learning to predict traffic flux minimization before its occurrence, with quantum annealing to optimize future positions of vehicles. Vehicles are redirected to minimize the travel time for each vehicle, taking into account other vehicles in the road network.
    Type: Application
    Filed: November 30, 2017
    Publication date: May 30, 2019
    Inventors: Florian NEUKART, Gabriele COMPOSTELLA, Christian SEIDEL, David VON DOLLEN