Signal-to-Noise Error Detection for Qubit Control Signals
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Solution Overview
Problem
Existing technologies fail to efficiently detect errors in electrical signals used to control electronic devices, such as qubits in quantum computers, leading to unintended losses in fidelity due to spurious data like spurs, internal timing instability, and phase slips.
Innovation Solution
A system and method that determine the signal-to-noise ratio (SNR) of generated signals by comparing them to reference signals, allowing for the detection of errors such as spurious data, internal delays, and amplitude variability, using software components to analyze and normalize signals before they are used for control operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error detection in electrical signals is not implemented, then system complexity remains low, but qubit fidelity deteriorates due to spurious data
Solution Approach 1:
The patent applies preliminary action by performing SNR evaluation of control signals before they are used to operate qubits. The system calculates the SNR metric using reference signals and acquired signals, and only permits signal usage when the metric indicates acceptable quality, thereby preventing fidelity loss before it occurs.
Solution Approach 2:
The patent replaces complex hardware-based error detection mechanisms with a software-based signal analysis approach. The system uses computer-executable instructions to perform SNR calculations and error detection, substituting physical measurement devices with computational analysis that operates on digital signal representations.
2Difficulty of detecting and measuring
If traditional error detection methods are used, then detection capability is limited, but processing time increases due to complex analysis requirements
Solution Approach 1:
The patent changes the detection parameter from complex signal feature analysis to a simplified SNR metric calculation. By transforming the detection problem into comparing signal power against noise power using a standardized formula, the system achieves comprehensive error detection (spurs, timing instability, phase slips) through a single efficient computational parameter rather than multiple complex measurements.
Solution Approach 2:
The patent uses reference signals as copies of ideal control signals to compare against acquired signals. By creating and storing reference signal representations, the system enables efficient error detection through direct comparison without requiring complex real-time analysis of signal characteristics, thereby reducing processing time while maintaining detection capability.
Data Source
AI summary
Techniques regarding error detection in one or more generated signals based on one or more signal-to-noise ratios are provided. For example, one or more embodiments described herein can include a system, which can include a memory that can store computer executable components. The system can also include a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include a signal analysis component that can determine a signal-to-noise ratio associated with a generated signal, wherein the signal-to-noise ratio incorporates a signal value based on a reference signal and a noise value based on a difference between the reference signal and an acquired signal.