公开(公告)号：US12020121B2

公开(公告)日：2024-06-25

申请号：US18048268

申请日：2022-10-20

Applicant: IonQ, Inc.

Inventor： Shantanu Debnath ,  Vandiver Chaplin ,  Kristin M. Beck ,  Melissa Jameson ,  Jason Hieu Van Nguyen

IPC: H03K17/92 ,  G06N10/70

CPC classification number: G06N10/70 ,  H03K17/92

Abstract: Aspects of the present disclosure relate generally to systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems, and more particularly, to techniques for removing or correcting for translation errors between a programmed strength and an applied strength of quantum gates. A method is described that includes determining, for each quantum gate in a quantum operation, a non-linearity between an applied strength of a laser beam used for the respective quantum gate and a programmed strength intended to be applied by the laser beam for the respective quantum gate. The method further includes linearizing the non-linearity for each quantum gate and storing linearization information in memory. Moreover, the method includes applying the linearization information to correct for the non-linearity when implementing each quantum gate as part of the quantum operation. A system is also described that is configured to implement the method described above.

公开(公告)号：US20230120170A1

公开(公告)日：2023-04-20

申请号：US18047874

申请日：2022-10-19

Applicant: IonQ, Inc.

Inventor： Shantanu DEBNATH ,  Aleksey Blinov ,  Coleman Collins ,  Kenneth Wright ,  Neal C. Pisenti ,  Kristin M. Beck ,  Jwo-Sy Chen ,  Jason Hieu Van Nguyen ,  Kevin Antony Landsman ,  Hemann Uys ,  Matthew Keesan

IPC: G06N10/60 ,  G06N10/20

Abstract: Systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems or quantum computers, and more particularly, to benchmark-driven automation for tuning quantum computers are described. A method includes identifying a set of quantum gates and a number of experimental shots to perform a benchmark algorithm for active stabilization of one or more observables of the set of quantum gates and executing the benchmarking algorithm based on the set of quantum gates and the number of experimental shots. Moreover, in response to the benchmarking algorithm being successful, executing an algorithm on the quantum computer, and in response to the benchmarking algorithm being unsuccessful, iterating the benchmarking algorithm by adjusting the set of quantum gates until the benchmarking algorithm is successful or a preset number of iterations is reached.