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Stable factorization for phase factors of quantum signal processing
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This paper proposes a new factorization algorithm for computing the phase factors of quantum signal processing. The proposed algorithm avoids root finding of high degree polynomials by using a key step of Prony's method and is numerically stable in the double precision arithmetics. Experimental results are reported for Hamiltonian simulation, eigenstate filtering, matrix inversion, and Fermi-Dirac operator.
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Progress in the development of quantum algorithms and software
A review of the Russian Quantum Center's 2020-2024 quantum software roadmap, summarizing algorithms, emulators, error correction, and cloud execution, with no new results.
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