AORN conducted its 22nd annual compensation survey for perioperative nurses in June 2024. A multiple regression model was used to examine how several variables, including job title, education level, certification, experience, and geographic region, affect perioperative nurse compensation. Comparisons between the 2024 data and data from previous years are presented.
View Article and Find Full Text PDFUndesired coupling to the surrounding environment destroys long-range correlations in quantum processors and hinders coherent evolution in the nominally available computational space. This noise is an outstanding challenge when leveraging the computation power of near-term quantum processors. It has been shown that benchmarking random circuit sampling with cross-entropy benchmarking can provide an estimate of the effective size of the Hilbert space coherently available.
View Article and Find Full Text PDFUnderstanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the one-dimensional Heisenberg model were conjectured as to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we studied the probability distribution of the magnetization transferred across the chain's center, [Formula: see text].
View Article and Find Full Text PDFEngineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature superconductivity or quantum magnetism. Using up to 49 superconducting qubits, we prepared low-energy states of the transverse-field Ising model through coupling to dissipative auxiliary qubits. In one dimension, we observed long-range quantum correlations and a ground-state fidelity of 0.
View Article and Find Full Text PDFAORN conducted its 21st annual compensation survey for perioperative nurses in May and June of 2023. A multiple regression model was used to examine how several variables, including job title, education level, certification, experience, and geographic region, affect perioperative nurse compensation. Comparisons between the 2023 data and data from previous years are presented.
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