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A1123
Title: Bayesian analysis of quantum phase estimation Authors:  Yazhen Wang - University of Wisconsin (United States) [presenting]
Abstract: Quantum phase estimation refers to estimating the eigenvalue of a given unitary matrix. It plays a crucial role as a core subroutine in quantum algorithms that achieve quantum speedup. A Bayesian approach to quantum phase estimation is explored, discussing both its theoretical properties and numerical results.