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Johns Hopkins Unveils Framework to Combat Quantum Noise

11/22/2025

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Summary

Story summary

Researchers at Johns Hopkins University developed a framework to identify and classify noise disrupting quantum algorithms.
Johns Hopkins University senior physicist Gregory Quiroz notes that existing models fail to capture noise complexities.
The framework uses symmetry and root space decomposition to analyze disturbances over time and space.
The findings aim to improve hardware design and algorithm development toward more error-resilient quantum machines.
The findings are published in Physical Review Letters.

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Story summary

Researchers at Johns Hopkins University developed a framework to identify and classify noise disrupting quantum algorithms.
Johns Hopkins University senior physicist Gregory Quiroz notes that existing models fail to capture noise complexities.
The framework uses symmetry and root space decomposition to analyze disturbances over time and space.
The findings aim to improve hardware design and algorithm development toward more error-resilient quantum machines.
The findings are published in Physical Review Letters.