Pith. sign in

REVIEW 1 cited by

Unbiased quantum phase estimation

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2210.00231 v1 pith:6VYJJGC2 submitted 2022-10-01 quant-ph cs.ET

classification quant-phcs.ET
keywords quantumalgorithmestimationcountingunbiasedphasealgorithmsstep
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Quantum phase estimation algorithm (PEA) is one of the most important algorithms in early studies of quantum computation. It is also a key for many other quantum algorithms, such as the quantum counting algorithm and the Shor's integer factorization algorithm. However, we find that the PEA is not an unbiased estimation, which prevents the estimation error from achieving an arbitrarily small level. In this paper, we propose an unbiased phase estimation algorithm (UPEA) based on the original PEA, and study its application in quantum counting. We also show that a maximum likelihood post-processing step can further improve its robustness. In the end, we apply UPEA to quantum counting, and use an additional correction step to make the quantum counting algorithm unbiased.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

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

  1. Risk-minimizing states for the quantum-phase-estimation algorithm

    quant-ph 2025-05 conditional novelty 6.0 of 10

    In quantum phase estimation, the risk-minimizing input state for any loss function is the minimum eigenvector of a Toeplitz matrix of the loss's Fourier coefficients, and cosine states approximate it well.

Pith tools