Pith. sign in

REVIEW 2 cited by

Improved Quantum Power Method and Numerical Integration Using Quantum Singular Value Transformation

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 2407.11744 v1 pith:W2BT25WC submitted 2024-07-16 quant-ph

classification quant-ph
keywords quantummethodqsvtframeworkintegrationnumericalpowerresults
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Quantum singular value transformation (QSVT) is a framework that has been shown to unify many primitives in quantum algorithms. In this work, we leverage the QSVT framework in two directions. We first show that the QSVT framework can accelerate one recently introduced quantum power method, which substantially improves its running time. Additionally, we incorporate several elementary numerical integration techniques, such as the rectangular method, Monte Carlo method, and quadrature method, into the QSVT framework, which results in polynomial speedup with respect to the size or the number of points of the grid. Our results thus provide further examples to demonstrate the potential of the QSVT and how it may enhance quantum algorithmic tasks.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

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

  1. Simple Quantum Gradient Descent Without Coherent Oracle Access

    quant-ph 2024-12 reject novelty 6.0 of 10

    A QSVT-based quantum gradient descent algorithm is proposed that avoids coherent oracle access, but key construction steps and complexity claims are not adequately supported.

  2. New Quantum Algorithm for Principal Component Analysis

    quant-ph 2025-01 reject novelty 5.0 of 10

    A new QPCA algorithm replaces quantum phase estimation with a block-encoding and quantum power method, with complexity depending on the eigenvalue gap rather than the largest eigenvalue.

Pith tools