Patents by Inventor Rudy Raymond Harry Putra

Rudy Raymond Harry Putra 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: 10769516
    Abstract: To identify a scenario that will bear a good simulation result from among a plurality of scenarios used in an agent-based simulation with a reduced amount of computation, there is provided an information processing apparatus comprising a counting part configured to count the number of agents in each of a plurality of states at a middle of a simulation that involves a plurality of agents, and a generation part configured to generate characteristic data used for prediction of a result of the simulation based on the number of agents in each of the plurality of states.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: September 8, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Satoshi Hara, Tetsuro Morimura, Rudy Raymond Harry Putra, Hidemasa Muta
  • Publication number: 20200202247
    Abstract: In an embodiment, a method includes measuring a first number of control qubits in a quantum algorithm, wherein a quantum circuit representation of the quantum algorithm includes a multiple-controlled-NOT gate. In an embodiment, a method includes measuring a second number of ancilla qubits in a quantum computer. In an embodiment, a method includes comparing the first number and the second number to determine an optimum compilation method for a quantum circuit. In an embodiment, a method includes compiling, in response to the comparison determining the second number is greater than one and less than the difference of the first number and 2, a quantum circuit from the quantum algorithm using a hybrid method.
    Type: Application
    Filed: December 19, 2018
    Publication date: June 25, 2020
    Applicant: International Business Machines Corporation
    Inventors: Shaohan Hu, RUDY RAYMOND HARRY PUTRA, Stephen Wood, Marco Pistoia, Jay M. Gambetta
  • Publication number: 20200183938
    Abstract: A method includes measuring an amplitude of a state of a quantum circuit, the amplitude corresponding to a first location in an object database. In the embodiment, the method includes executing, using a classical processor and a first memory, a verification operation, responsive to measuring the amplitude, to verify a target object in the first location. In the embodiment, the method includes re-measuring a second amplitude of a second state of the quantum circuit, the second amplitude having undergone a first plurality of amplitude amplifications, the second amplitude corresponding to a second location in the object database, the second location being verified as the target object, and wherein a total number of the first plurality of amplitude amplifications being less than a square root of a set of objects in the object database.
    Type: Application
    Filed: December 10, 2018
    Publication date: June 11, 2020
    Applicant: International Business Machines Corporation
    Inventors: Shaohan Hu, Rudy Raymond Harry Putra, Stephen Wood, Marco Pistoia, Jay M. Gambetta
  • Publication number: 20200151374
    Abstract: Target characteristic data may be predicted using an apparatus including a processor and one or more computer readable mediums collectively including instructions. When executed by the processor, the instructions cause the processor to obtain a plurality of physical structure data and a plurality of characteristic data, estimate at least one structural similarity between at least two physical structures that correspond with physical structure data among the plurality of physical structure data, and generate an estimation model for estimating a target characteristic data from a target physical structure data by using at least one characteristic data and corresponding at least one structural similarity between the target physical structure data and each of the plurality of the physical structure data.
    Type: Application
    Filed: January 14, 2020
    Publication date: May 14, 2020
    Inventors: Takayuki Katsuki, Rudy Raymond Harry Putra
  • Publication number: 20200134498
    Abstract: A computer-implemented method includes employing a dynamic Boltzmann machine (DyBM) to solve a maximum likelihood of generalized normal distribution (GND) of time-series datasets. The method further includes acquiring the time-series datasets transmitted from a source node to a destination node of a neural network including a plurality of nodes, learning, by the processor, a time-series generative model based on the GND with eligibility traces, and, performing, by the processor, online updating of internal parameters of the GND based on a gradient update to predict updated times-series datasets generated from non-Gaussian distributions.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Inventors: Rudy Raymond Harry Putra, Takayuki Osogami, Sakyasingha Dasgupta
  • Publication number: 20200134464
    Abstract: A computer-implemented method includes employing a dynamic Boltzmann machine (DyBM) to predict a higher-order moment of time-series datasets. The method further includes acquiring the time-series datasets transmitted from a source node to a destination node of a neural network including a plurality of nodes, learning, by the processor, a time-series generative model based on the DyBM with eligibility traces, and obtaining, by the processor, parameters of a generalized auto-regressive heteroscedasticity (GARCH) model to predict a time-varying second-order moment of the times-series datasets.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Inventors: Rudy Raymond Harry Putra, Takayuki Osogami, Sakyasingha Dasgupta
  • Publication number: 20190378047
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate quantum domain computation of classical domain specifications 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 an input transformation component that can be adapted to receive one or more types of domain-specific input data corresponding to at least one of a plurality of domains. The input transformation component can transform the one or more types of domain-specific input data to quantum-based input data. The computer executable components can further comprise a circuit generator component that, based on the quantum-based input data, can generate a quantum circuit.
    Type: Application
    Filed: June 7, 2018
    Publication date: December 12, 2019
    Inventors: Marco Pistoia, Jay M. Gambetta, Antonio Mezzacapo, Richard Chen, Stephen Wood, Peng Liu, Shaohan Hu, Julia Elizabeth Rice, Ivano Tavernelli, Rudy Raymond Harry Putra, Panagiotis Barkoutsos, Nikolaj Moll