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A randomized quantum algorithm for statistical phase estimation

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arxiv 2110.12071 v2 pith:VBDXS2AO submitted 2021-10-22 quant-ph cs.DS

classification quant-phcs.DS
keywords algorithmestimationphasehamiltonianquantumrandomizedanalyseapproaches
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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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Practicality of Randomized Quantum Linear Systems Solvers

    quant-ph 2025-10 conditional novelty 6.0 of 10

    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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