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A randomized quantum algorithm for statistical phase estimation
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Phase estimation is a quantum algorithm for measuring the eigenvalues of a Hamiltonian. We propose and rigorously analyse a randomized phase estimation algorithm with two distinctive features. First, our algorithm has complexity independent of the number of terms L in the Hamiltonian. Second, unlike previous L-independent approaches, such as those based on qDRIFT, all sources of error in our algorithm can be suppressed by collecting more data samples, without increasing the circuit depth.
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The Practicality of Randomized Quantum Linear Systems Solvers
A randomized Fourier-series quantum linear-systems solver needs on the order of 10^15 non-Clifford gates even for a 4×4 matrix with condition number 100, making the scheme impractical despite formally bounded errors.
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