Researchers from Johns Hopkins APL and @jhu.edu developed a practical, comprehensive noise-modeling framework for superconducting quantum processors that delivers a sevenfold improvement in predictive accuracy over existing approaches. https://jhuapl.link/0f2
Researchers from Johns Hopkins APL and Johns Hopkins University have developed a practical, comprehensive noise-modeling framework for quantum computers. Their work, published in PRX Quantum, offers a...