Quantum Logic Pulse Calibration for Multi-Qubit Bring-Up
Find Innovative SolutionsGenerate Solutions
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, including the use of flux bias automation to optimize qubit frequencies and coherence times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantum computing systems use complex characterization processes to initialize and tune quantum logic gates, then measurement precision and reliability are improved, but device complexity and time consumption increase
Solution Approach 1:
The patent divides the complex calibration process into multiple sequential stages: determining qubit frequencies, determining control parameters, determining quantum logic control parameters, and verifying operations. Each stage focuses on specific parameters and uses targeted measurement sequences, breaking down the overwhelming complexity of full system characterization into manageable, systematic steps that maintain precision while reducing overall process complexity
Solution Approach 2:
The patent performs preliminary measurements and characterizations before full system operation. Qubit frequencies are determined first using spectroscopy, control parameters are calibrated based on these frequencies, and quantum logic control parameters are optimized subsequently. This preliminary action approach ensures that each subsequent measurement builds on previously established parameters, improving overall characterization accuracy while systematically managing complexity
2Reliability
If quantum computing systems perform comprehensive calibration sequences to ensure accurate quantum logic operations, then reliability is improved, but time consumption and productivity are reduced
Solution Approach 1:
The calibration process is segmented into focused measurement sequences that target specific parameters at specific times. Rather than performing all possible measurements comprehensively, the patent determines qubit frequencies first, then uses those results to guide control parameter calibration, followed by quantum logic control parameter optimization. This segmentation maintains reliability by ensuring each parameter is properly characterized while significantly reducing total calibration time through efficient sequencing
Solution Approach 2:
The patent performs preliminary determination of qubit frequencies and control parameters before executing quantum logic operations. These preliminary characterizations establish the foundation for accurate quantum logic control parameter optimization. By completing essential preliminary measurements first, the system ensures reliable quantum logic operations without requiring exhaustive calibration sequences during actual computation, thus reducing time loss while maintaining accuracy
3Manufacturing precision
If quantum computing systems initialize large-scale superconducting circuits with precise calibration, then manufacturing precision is improved, but ease of manufacture and operation are reduced
Solution Approach 1:
The patent segments the manufacturing and initialization process into distinct, standardized stages: qubit frequency determination through spectroscopy, control parameter calibration based on measured frequencies, quantum logic control parameter optimization, and verification. Each stage uses standardized measurement sequences and analysis methods, making the complex process more manageable and easier to manufacture with consistent quality across multiple qubit systems
Solution Approach 2:
The patent performs preliminary measurements of qubit frequencies and control parameters during the manufacturing and initialization phase. These preliminary characterizations are used to optimize quantum logic control parameters before the system is deployed for computation. By completing these preliminary actions during manufacturing rather than during operation, the system achieves high manufacturing precision while simplifying ease of operation, as the system is already optimized before use
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables rapid and accurate characterization of quantum processors, improves the efficiency of quantum computing operations, and reduces the time required for system initialization and calibration, facilitating large-scale quantum computing.
Implementation Method 1
including the use of flux bias automation to optimize qubit frequencies and coherence times
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.