Quantum Processor Calibration Sequences for Multi-Qubit Bring-Up
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Solution Overview
Problem
Current quantum computing systems face challenges in efficiently and accurately initializing and characterizing large-scale superconducting quantum circuits, particularly in bringing up complex systems and tuning quantum logic gates, due to the complexity of characterization processes and the need for precise calibration sequences.
Innovation Solution
A calibration process is implemented that automates the bring-up and characterization of quantum computing systems by subdividing tasks into sub-processing units, using design parameters and measured values to determine operating parameters, and applying defined pass/fail criteria, allowing for efficient and precise calibration of multi-qubit systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated calibration processes are implemented for large-scale quantum computing systems, then productivity and initialization speed are improved, but device complexity and calibration sequence complexity increase
Solution Approach 1:
The calibration process is divided into multiple discrete calibration sequences, each targeting specific quantum logic gates or circuit components. This segmentation allows automated execution of focused calibration tasks rather than attempting to calibrate the entire system at once, improving productivity while managing complexity through modular organization.
Solution Approach 2:
The system performs preliminary characterization of quantum circuit devices to determine operating parameters before executing calibration sequences. This preliminary action includes measuring device characteristics and establishing baseline parameters, which enables more efficient and targeted calibration processes that reduce overall initialization time.
2Manufacturing precision
If precise calibration sequences are applied to tune quantum logic gates, then manufacturing precision and gate accuracy are improved, but loss of time and calibration duration increase
Solution Approach 1:
The calibration process incorporates feedback mechanisms where measurement results from quantum circuit devices are used to adjust and refine calibration parameters. This feedback loop enables iterative optimization of gate accuracy, allowing the system to converge on precise calibration values more efficiently and reduce overall calibration duration through intelligent parameter adjustment.
Solution Approach 2:
The system determines operating parameters through characterization measurements and applies parameter changes to tune quantum logic gates. By systematically adjusting parameters such as flux bias, microwave pulse characteristics, and coupling strengths based on measured device properties, the system achieves high gate accuracy while optimizing calibration time through targeted parameter optimization.
3Reliability
If design parameters and measured values are used to determine operating parameters, then reliability and system characterization accuracy are improved, but device complexity and system requirements increase
Solution Approach 1:
The quantum computing system performs self-characterization by using its own measurement capabilities to determine operating parameters for its components. The system uses built-in measurement apparatus to characterize quantum circuit devices and automatically determine optimal operating parameters, reducing the need for external characterization equipment and simplifying system requirements while maintaining high reliability.
Data Source
AI summary
In a general aspect, calibration is performed in a quantum computing system. In some cases, domains of a quantum computing system are identified, where the domains include respective domain control subsystems and respective subsets of quantum circuit devices in a quantum processor of the quantum computing system. Sets of measurements are obtained from one of the domains and stored in memory. Device characteristics of the quantum circuit devices of the domain are obtained based on the set of measurements, and the device characteristics are stored in a memory of the control system. Quantum logic control parameters for the subset of quantum circuit devices of the domain are obtained based on the set of measurements and stored in memory.