Patents by Inventor Helena Zhang

Helena Zhang 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: 20250209365
    Abstract: A method, system, and computer program product for empirically identifying a dynamical decoupling sequence for error suppression on a quantum computer. A training quantum circuit, with an equivalent circuit structure to the target quantum circuit, is selected to identify the optimal dynamical decoupling sequence. A population of dynamical decoupling sequences represented as sequences in a genetic algorithm is generated. Offsprings of a selected set of sequences (“parents”) from the population are then generated via reproduction and mutation forming candidate dynamical decoupling sequences, which refer to those dynamical decoupling sequences that may be selected to be used as a “parent” in a subsequent iteration for generating offsprings or selected as the dynamical decoupling sequence to run on the target quantum circuit. One or more dynamical decoupling sequences are selected from the candidate dynamical decoupling sequences based on their fitness with the objective function.
    Type: Application
    Filed: December 26, 2023
    Publication date: June 26, 2025
    Inventors: Bibek Pokharel, Christopher Tong, Helena Zhang
  • Patent number: 12106179
    Abstract: Systems and techniques that facilitate measurement aggregation in quantum programs are provided. In various embodiments, a system can comprise an input component that can access a quantum program. In various instances, the system can further comprise an aggregation component that can aggregate quantum measurement instructions that are listed in the quantum program. In various embodiments, the aggregation component can aggregate the quantum measurement instructions by: identifying a first quantum measurement instruction in the quantum program; identifying another quantum instruction in the quantum program that is adjacent to the first quantum measurement instruction; and swapping and/or merging the first quantum measurement instruction with the another quantum instruction based on determining whether the first quantum measurement instruction and the another quantum instruction share qubits and based on determining whether the another quantum instruction is a quantum measurement instruction.
    Type: Grant
    Filed: December 17, 2020
    Date of Patent: October 1, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Zachary Schoenfeld, Helena Zhang, Soolu Thomas
  • Patent number: 12020122
    Abstract: A method, system and computer program product for mitigating errors in measurements from a quantum system. A discriminator is trained to classify the measurement results of the quantum states of qubits as corresponding to a first quantum state (e.g., quantum state of 0) or a second quantum state (e.g., quantum state of 1). A first region of trust (corresponding to trusted measurements of a first quantum state) with a first discriminator boundary and a second region of trust (corresponding to trusted measurements of a second quantum state) with a second discriminator boundary are defined using the trained discriminator. If a shot-to-shot measurement result of a qubit state falls outside such regions of trust, the measurement result is rejected. In this manner, measurement errors from a quantum system are effectively mitigated, including measurement errors involving shot-to-shot measurement results of the quantum states read from the execution of the quantum circuits.
    Type: Grant
    Filed: December 15, 2022
    Date of Patent: June 25, 2024
    Assignee: International Business Machines Corporation
    Inventors: Petar Jurcevic, Helena Zhang, Lev Samuel Bishop
  • Publication number: 20240202567
    Abstract: A method, system and computer program product for mitigating errors in measurements from a quantum system. A discriminator is trained to classify the measurement results of the quantum states of qubits as corresponding to a first quantum state (e.g., quantum state of 0) or a second quantum state (e.g., quantum state of 1). A first region of trust (corresponding to trusted measurements of a first quantum state) with a first discriminator boundary and a second region of trust (corresponding to trusted measurements of a second quantum state) with a second discriminator boundary are defined using the trained discriminator. If a shot-to-shot measurement result of a qubit state falls outside such regions of trust, the measurement result is rejected. In this manner, measurement errors from a quantum system are effectively mitigated, including measurement errors involving shot-to-shot measurement results of the quantum states read from the execution of the quantum circuits.
    Type: Application
    Filed: December 15, 2022
    Publication date: June 20, 2024
    Inventors: Petar Jurcevic, Helena Zhang, Lev Samuel Bishop
  • Patent number: 11875224
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate entity steering of a running quantum program are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a steering component that adjusts at least one parameter corresponding to a running quantum program to define at least one modified parameter. The computer executable components can further comprise an execution component that executes one or more shots of the running quantum program based on the at least one modified parameter.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: January 16, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Helena Zhang, Zachary Schoenfeld
  • Publication number: 20220366286
    Abstract: Systems, computer-implemented methods, and computer program products to facilitate entity steering of a running quantum program are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a steering component that adjusts at least one parameter corresponding to a running quantum program to define at least one modified parameter. The computer executable components can further comprise an execution component that executes one or more shots of the running quantum program based on the at least one modified parameter.
    Type: Application
    Filed: May 13, 2021
    Publication date: November 17, 2022
    Inventors: Helena Zhang, Zachary Schoenfeld
  • Publication number: 20220198309
    Abstract: Systems and techniques that facilitate measurement aggregation in quantum programs are provided. In various embodiments, a system can comprise an input component that can access a quantum program. In various instances, the system can further comprise an aggregation component that can aggregate quantum measurement instructions that are listed in the quantum program. In various embodiments, the aggregation component can aggregate the quantum measurement instructions by: identifying a first quantum measurement instruction in the quantum program; identifying another quantum instruction in the quantum program that is adjacent to the first quantum measurement instruction; and swapping and/or merging the first quantum measurement instruction with the another quantum instruction based on determining whether the first quantum measurement instruction and the another quantum instruction share qubits and based on determining whether the another quantum instruction is a quantum measurement instruction.
    Type: Application
    Filed: December 17, 2020
    Publication date: June 23, 2022
    Inventors: Zachary Schoenfeld, Helena Zhang, Soolu Thomas
  • Patent number: D900133
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: October 27, 2020
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D900135
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: October 27, 2020
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D900146
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: October 27, 2020
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D901522
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: November 10, 2020
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D939544
    Type: Grant
    Filed: August 5, 2019
    Date of Patent: December 28, 2021
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D971252
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: November 29, 2022
    Assignee: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D973698
    Type: Grant
    Filed: October 27, 2020
    Date of Patent: December 27, 2022
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D973708
    Type: Grant
    Filed: October 27, 2020
    Date of Patent: December 27, 2022
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D973709
    Type: Grant
    Filed: November 9, 2020
    Date of Patent: December 27, 2022
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D974388
    Type: Grant
    Filed: October 27, 2020
    Date of Patent: January 3, 2023
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D974402
    Type: Grant
    Filed: October 26, 2020
    Date of Patent: January 3, 2023
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D983812
    Type: Grant
    Filed: October 27, 2020
    Date of Patent: April 18, 2023
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang
  • Patent number: D1088022
    Type: Grant
    Filed: December 27, 2021
    Date of Patent: August 12, 2025
    Assignee: Toyota Research Institute, Inc.
    Inventors: Thor Lewis, Ashlimarie Dong, James Cazzoli, Stephanie Paepcke, Christoffer Rodemeyer, Jemma Robinson, Carlo Vega, David Landa, James Veluya, Helena Zhang