Qubit Calibration Backtesting Using Quantum Device Models
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Solution Overview
Problem
Traditional calibration methods for quantum computing systems are costly, time-consuming, and risky, often requiring experimental implementations that can damage the systems, and lack efficient methods for evaluating and selecting optimal calibration models.
Innovation Solution
A framework for backtesting calibration models using historical log data and quantum device models to simulate and compare different calibration strategies in a safe, offline environment, allowing for parallelized testing and selection of improved calibration models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional calibration methods are used, then calibration can be performed on quantum devices, but the process is costly, time-consuming, and risky with potential system damage
Solution Approach 1:
The patent creates a virtual copy (emulator) of the quantum device that replicates its behavior without physical hardware. This virtual replica allows calibration testing to be performed repeatedly without risking damage to the actual quantum device, eliminating the need for costly physical trial-and-error calibration while significantly reducing time consumption through rapid virtual execution
Solution Approach 2:
The patent performs calibration testing in advance using the virtual emulator before deploying calibration to the physical quantum device. By pre-testing and validating calibration parameters in the virtual environment, the system eliminates the need for time-consuming physical calibration iterations and reduces the risk of system damage during the calibration process
2Reliability
If experimental calibration implementations are used, then calibration can be tested on physical systems, but the risk of system damage increases
Solution Approach 1:
The patent creates a virtual copy (emulator) of the quantum device that replicates its behavior without physical hardware. This virtual replica allows calibration testing to be performed repeatedly without risking damage to the actual quantum device, eliminating the need for costly physical trial-and-error calibration while significantly reducing time consumption through rapid virtual execution
Solution Approach 2:
The virtual emulator acts as an intermediary between the calibration testing process and the physical quantum device. By introducing this intermediate virtual layer, the patent enables safe testing and validation of calibration strategies without directly exposing the physical system to potential harmful calibration operations, thus protecting against system damage while maintaining reliability
3Adaptability or versatility
If multiple calibration models are tested experimentally, then optimal calibration can be selected, but the process becomes more complex and time-consuming
Solution Approach 1:
The patent creates a virtual copy (emulator) of the quantum device that replicates its behavior without physical hardware. This virtual replica allows calibration testing to be performed repeatedly without risking damage to the actual quantum device, eliminating the need for costly physical trial-and-error calibration while significantly reducing time consumption through rapid virtual execution
Solution Approach 2:
The patent performs calibration testing in advance using the virtual emulator before deploying calibration to the physical quantum device. By pre-testing and validating calibration parameters in the virtual environment, the system eliminates the need for time-consuming physical calibration iterations and reduces the risk of system damage during the calibration process
Data Source
AI summary
An example computer-implemented method for calibrating a qubit of a quantum device is disclosed. The example method includes obtaining a candidate calibration model for calibrating an operating characteristic of the qubit. The example method includes determining, using one or more quantum device models, a simulated quantum device performance metric associated with implementation of the candidate calibration model based on log data descriptive of observed qubit operating characteristics and associated observed quantum device performance metrics.


