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researcher

J. Řeháček

90 papers hereh-index 303.2k citations179 works total

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

author position
  • first author24
  • middle author49
  • last author12

Across the 85 of 90 papers where every author was matched, so the position is known.

fields
  • quant-ph83
  • physics.optics4
  • physics.data-an2
  • cond-mat.dis-nn1
same name
  • J. Řeháček — 1 paper
  • J. Řeháček — 1 paper, h 0

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
19982026
most citedMinimal qubit tomography

210 citations · 2.8k across the 88 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

quant-ph2019★ 49 cited

Quantum Fisher Information with Coherence

Zdeněk Hradil, Jaroslav Řeháček, Luis Sánchez-Soto +1

In recent proposals for achieving optical super-resolution, variants of the Quantum Fisher Information (QFI) quantify the attainable precision. We find that claims about a strong e…

quant-ph2019

Intensity-Based Axial Localization at the Quantum Limit

J. Rehacek, M. Paur, B. Stoklasa +3

We derive fundamental precision bounds for single-point axial localization. For the case of a Gaussian beam, this ultimate limit can be achieved with a single intensity scan, provi…

quant-ph2019

On the theoretical prospects of multiport devices for photon-number-resolving detections

Yong Siah Teo, Hyunseok Jeong, Jaroslav Rehacek +3

Ideal photon-number-resolving detectors form a class of important optical components in quantum optics and quantum information theory. In this article, we theoretically investigate…

quant-ph2019★ 27 cited

Adaptive compressive tomography: a numerical study

D. Ahn, Y. S. Teo, H. Jeong +5

We perform several numerical studies for our recently published adaptive compressive tomography scheme [D. Ahn et al. Phys. Rev. Lett. 122, 100404 (2019)], which significantly redu…

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