20240028938. SYSTEMS AND METHODS FOR IMPROVING EFFICIENCY OF CALIBRATION OF QUANTUM DEVICES simplified abstract (D-WAVE SYSTEMS INC.)

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SYSTEMS AND METHODS FOR IMPROVING EFFICIENCY OF CALIBRATION OF QUANTUM DEVICES

Organization Name

D-WAVE SYSTEMS INC.

Inventor(s)

Andrew J. Berkley of Vancouver (CA)

Ilya V. Perminov of Vancouver (CA)

SYSTEMS AND METHODS FOR IMPROVING EFFICIENCY OF CALIBRATION OF QUANTUM DEVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240028938 titled 'SYSTEMS AND METHODS FOR IMPROVING EFFICIENCY OF CALIBRATION OF QUANTUM DEVICES

Simplified Explanation

Methods and systems for calibrating quantum processors are discussed in this patent application. The invention involves a model of a portion of the processor that needs to be calibrated, which includes one or more determinable parameters and an uncertainty for each determinable parameter.

The calibration process starts with an iterative measurement procedure. A subset of possible measurements is selected, and predicted measurement outcomes and predicted uncertainties for the determinable parameter are generated for each measurement in the subset. Based on the predicted reduction in uncertainty, one or more measurements are selected. Instructions are then transmitted to the quantum processor to perform the selected measurements, and the results are returned to update the model of the portion of the processor being calibrated. This iterative process continues until a termination criteria is met, at which point a calibrated value is generated for the determinable parameter. Compensating signals can also be applied to devices of the quantum processor to further calibrate them.

  • The patent application discusses methods and systems for calibrating quantum processors.
  • A model of the portion of the processor to be calibrated is created, which includes determinable parameters and their uncertainties.
  • An iterative measurement procedure is performed, where a subset of possible measurements is selected.
  • Predicted measurement outcomes and uncertainties for the determinable parameter are generated for each measurement in the subset.
  • Based on the predicted reduction in uncertainty, one or more measurements are selected.
  • Instructions are transmitted to the quantum processor to perform the selected measurements.
  • The results of the measurements are returned and used to update the model of the portion of the processor being calibrated.
  • The iterative process continues until a termination criteria is met, and a calibrated value is generated for the determinable parameter.
  • Compensating signals can be applied to devices of the quantum processor to further calibrate them.

Potential Applications:

  • Quantum computing: This technology can be applied to calibrate quantum processors, improving their performance and accuracy in quantum computing tasks.
  • Quantum communication: Calibrated quantum processors can enhance the reliability and efficiency of quantum communication systems.

Problems Solved:

  • Calibration: The invention solves the problem of calibrating quantum processors by providing a method and system to determine and reduce uncertainties in determinable parameters.
  • Performance and accuracy: By calibrating the quantum processor, this technology improves its performance and accuracy in quantum computing and communication tasks.

Benefits:

  • Improved performance: Calibrating the quantum processor enhances its performance by reducing uncertainties in determinable parameters.
  • Increased accuracy: The technology improves the accuracy of quantum processors, leading to more reliable and precise quantum computing and communication tasks.


Original Abstract Submitted

methods and systems for calibrating quantum processors are discussed. a model of a portion of the processor to be calibrated has one or more determinable parameters and an uncertainty for the determinable parameter(s). a measurement procedure is iteratively performed by selecting a subset of possible measurements and generating predicted measurement outcomes and predicted uncertainties for the determinable parameter for each measurement in the subset of possible measurements. based on the predicted reduction in uncertainty for the determinable parameter, one or more measurements is selected. instructions are transmitted to the quantum processor to perform the selected measurements, and the results are returned to update the model of the portion of the processor to be calibrated. once a termination criteria is met, a calibrated value is generated for the determinable parameter. compensating signals can be applied to devices of the quantum processor to calibrate the devices.

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