Quantum Processor Calibration via Outlier Detection
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Solution Overview
Problem
Quantum processor calibration is a time-consuming and error-prone process due to discrepancies between theoretical design specifications and actual physical parameters of manufactured devices, requiring extensive data collection and analysis to characterize individual elements and their interactions.
Innovation Solution
A hybrid processor system with a first processor and a second processor comprising calibrated devices, where determinable parameters are obtained, outliers are identified, and the system is programmed to disregard or adjust these outliers to reduce errors, using methods such as calculating median values, applying calibration signals, and iteratively checking consistency to achieve absolute calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If extensive data collection and analysis are performed to characterize individual elements and their interactions during calibration, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The patent extracts and removes outlier devices from the calibration dataset using statistical analysis. By identifying and excluding devices with parameters that fall outside acceptable ranges (e.g., using standard deviation thresholds), the system eliminates erroneous data points that would otherwise require extensive analysis, thereby reducing calibration time while maintaining precision for valid devices
Solution Approach 2:
The patent changes the calibration approach by introducing statistical parameter analysis (mean, standard deviation, outlier detection) to dynamically adjust which devices require full calibration characterization. This parameter-based filtering allows the system to skip extensive analysis for devices that clearly meet specifications, reducing overall calibration time while maintaining manufacturing precision
2Reliability
If comprehensive calibration of all devices is performed, then reliability is improved, but productivity decreases
Solution Approach 1:
The patent extracts outlier devices from the comprehensive calibration set and handles them separately or excludes them from full calibration. This extraction allows the majority of conforming devices to be calibrated more quickly using streamlined procedures, improving productivity while maintaining reliability through targeted comprehensive calibration of only those devices that require it
Solution Approach 2:
The patent applies partial calibration action to devices that are identified as non-outliers. Instead of performing full comprehensive calibration on all devices, the system applies a reduced calibration procedure to devices that clearly meet specifications, reserving full calibration only for borderline or outlier cases, thereby improving throughput while maintaining adequate reliability
3Measurement precision
If statistical outlier detection methods are applied to identify erroneous devices, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback through iterative outlier detection and validation. The system calculates statistical parameters, identifies outliers, validates them through additional measurements or cross-checks, and uses this feedback to refine the calibration process. This feedback loop improves measurement precision by confirming outlier status before final exclusion, while the structured feedback mechanism prevents uncontrolled complexity growth
Data Source
AI summary
Methods for reducing errors in calibrated devices comprise detecting outliers, self-checking consistency of measurements, tuning device controls to target values, and absolutely calibrating devices via a first standard and cross-checking the results via a second standard. The first standard may be a calibrated current and the second calibration standard may be a calibrated frequency. A calibrated frequency may be a microwave signal applied to the body of a qubit. Qubit annealing controls can quickly lower and raise the tunnel barrier to measures the oscillation frequency of the qubit between two potential wells.