<< Analog quantum simulation is emerging as a powerful tool for uncovering classically unreachable physics such as many-body real-time dynamics. >>️
AA << examines the interplay of errors arising from simulation of approximate time evolution with those due to practical, real-world device constraints. >>️
Nikita A. Zemlevskiy, Henry F. Froland, Stephan Caspar. Optimization of algorithmic errors in analog quantum simulations. Phys. Rev. A 109, 052425. May 15, 2024.
<< The new technique focuses on two sources of error that arise from the approximations used to map the quantum system of interest to the analog quantum simulator. In a real-world simulator, these error sources are linked in a complex way, and individually minimizing each error can increase the overall uncertainty of a simulation. (AA) tackled this problem by first isolating the two error sources and then carefully studying their interplay. This analysis enabled the researchers to finely tune a simulation’s parameters to minimize its overall uncertainty and to maximize its precision. >>️
Ryan Wilkinson. Quantifying Uncertainties in Quantum Simulations.
Physics 17, s51. May 15, 2024.
Also: uncertainty, error, noise in https://www.inkgmr.net/kwrds.html
Keywords: gst, uncertainty, error, noise
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