Patents by Inventor Neil Julien ROSS

Neil Julien ROSS 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: 11580283
    Abstract: The disclosure describes the implementation of automated techniques for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers. The disclosure shows how to handle continuous gate parameters and report a collection of fast algorithms capable of optimizing large-scale-scale quantum circuits. For the suite of benchmarks considered, the techniques described obtain substantial reductions in gate counts. In particular, the techniques in this disclosure provide better optimization in significantly less time than previous approaches, while making minimal structural changes so as to preserve the basic layout of the underlying quantum algorithms.
    Type: Grant
    Filed: February 2, 2021
    Date of Patent: February 14, 2023
    Assignees: UNIVERSITY OF MARYLAND, COLLEGE PARK, IonQ, Inc.
    Inventors: Yunseong Nam, Dmitri Maslov, Andrew Childs, Neil Julien Ross, Yuan Su
  • Publication number: 20210192113
    Abstract: The disclosure describes the implementation of automated techniques for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers. The disclosure shows how to handle continuous gate parameters and report a collection of fast algorithms capable of optimizing large-scale-scale quantum circuits. For the suite of benchmarks considered, the techniques described obtain substantial reductions in gate counts. In particular, the techniques in this disclosure provide better optimization in significantly less time than previous approaches, while making minimal structural changes so as to preserve the basic layout of the underlying quantum algorithms.
    Type: Application
    Filed: February 2, 2021
    Publication date: June 24, 2021
    Inventors: Yunseong NAM, Dmitri MASLOV, Andrew CHILDS, Neil Julien ROSS, Yuan SU
  • Patent number: 10922457
    Abstract: The disclosure describes the implementation of automated techniques for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers. The disclosure shows how to handle continuous gate parameters and report a collection of fast algorithms capable of optimizing large-scale-scale quantum circuits. For the suite of benchmarks considered, the techniques described obtain substantial reductions in gate counts. In particular, the techniques in this disclosure provide better optimization in significantly less time than previous approaches, while making minimal structural changes so as to preserve the basic layout of the underlying quantum algorithms.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: February 16, 2021
    Assignees: University of Maryland, IonQ Inc.
    Inventors: Yunseong Nam, Dmitri Maslov, Andrew Childs, Neil Julien Ross, Yuan Su
  • Publication number: 20190121921
    Abstract: The disclosure describes the implementation of automated techniques for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers. The disclosure shows how to handle continuous gate parameters and report a collection of fast algorithms capable of optimizing large-scale-scale quantum circuits. For the suite of benchmarks considered, the techniques described obtain substantial reductions in gate counts. In particular, the techniques in this disclosure provide better optimization in significantly less time than previous approaches, while making minimal structural changes so as to preserve the basic layout of the underlying quantum algorithms.
    Type: Application
    Filed: October 18, 2018
    Publication date: April 25, 2019
    Inventors: Yunseong NAM, Dmitri MASLOV, Andrew CHILDS, Neil Julien ROSS, Yuan SU