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researcher

R. de Wolf

10 papers hereh-index 00 citations0 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • quant-ph7
  • cs.CC1
  • cs.CY1
  • gr-qc1
same name
  • R. De Wolf — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedQuantum algorithms for matrix scaling and matrix balancing

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

quant-ph2025

Adaptive quantum phase estimation can be better than non-adaptive

Noah Linden, Ronald de Wolf

Quantum phase estimation is one of the most important tools in quantum algorithms. It can be made non-adaptive (meaning all applications of the unitary Uϕ​ happen simultaneously)…

quant-ph2025

QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses

Amira Abbas, Yanlin Chen, Tuyen Nguyen +1

The technique of combining multiple votes to enhance the quality of a decision is the core of boosting algorithms in machine learning. In particular, boosting provably increases de…

quant-ph2025

An Improved Quantum Algorithm for 3-Tuple Lattice Sieving

Lynn Engelberts, Yanlin Chen, Amin Shiraz Gilani +3

The assumed hardness of the Shortest Vector Problem in high-dimensional lattices is one of the cornerstones of post-quantum cryptography. The fastest known heuristic attacks on SVP…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.