US 12,475,394 B2
Systems and methods for improving efficiency of calibration of quantum devices
Andrew J. Berkley, Vancouver (CA); and Ilya V. Perminov, Vancouver (CA)
Assigned to D-WAVE SYSTEMS INC., Burnaby (CA)
Filed by D-WAVE SYSTEMS INC., Burnaby (CA)
Filed on May 12, 2022, as Appl. No. 17/742,587.
Claims priority of provisional application 63/210,176, filed on Jun. 14, 2021.
Prior Publication US 2024/0028938 A1, Jan. 25, 2024
Int. Cl. G06N 10/20 (2022.01); G06N 10/40 (2022.01)
CPC G06N 10/20 (2022.01) [G06N 10/40 (2022.01)] 22 Claims
OG exemplary drawing
 
1. A method of calibrating a quantum processor by a digital processor with improved efficiency, the quantum processor comprising one or more quantum devices, the method being performed by the digital processor in communication with the quantum processor, the method comprising:
receiving a model of a portion of the quantum processor to be calibrated, the portion of the quantum processor to be calibrated including the one or more quantum devices, the portion of the quantum processor to be calibrated having one or more determinable parameters, the model of a portion of the quantum processor to be calibrated having as model parameters the one or more determinable parameters and a current uncertainty for each of the one or more determinable parameters;
receiving one or more initial values for the model parameters of the model of a portion of the quantum processor to be calibrated;
initializing the model of the portion of the quantum processor to be calibrated based on the one or more initial values;
iterating a measurement procedure until a termination criteria is reached, the measurement procedure comprising:
choosing a subset of possible measurements from a set of possible measurements for the quantum processor;
generating a predicted measurement outcome and a predicted uncertainty for the one or more determinable parameters for each measurement in the subset of possible measurements;
selecting one or more measurements from the subset of possible measurements based on a predicted reduction in uncertainty for the one or more determinable parameters;
transmitting instructions to the quantum processor to perform the one or more measurements;
receiving a result of the one or more measurements from the quantum processor; and
updating the model of the portion of the quantum processor to be calibrated based on the result of the one or more measurements; and
generating one or more calibrated values for the one or more determinable parameters based on the updated model of the portion of the quantum processor to be calibrated.