June 5, 2026 — Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in Baltimore have developed a practical, comprehensive noise-modeling framework for a popular class of superconducting quantum processors. Their work, published in the journal PRX Quantum, offers a sevenfold improvement in predictive accuracy over existing approaches. Quantum […] The post Johns Hopkins Team Models Quantum Noise on Superconducting Processors appeared first on HPCwire .
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