activity
20182025
most citedNeural-network quantum state tomography

60 citations · 143 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2025

Sampling the spatial coherence of light

M. Vitek, M. Peterek, D. Koutny +6

We introduce a novel application of the Hartmann sensor, traditionally designed for wavefront sensing, to measure the coherence properties of optical signals. By drawing an analogy…

physics.optics2023

Enhancing axial localization with wavefront control

M. Peterek, M. Paur, M. Vitek +6

Enhancing the ability to resolve axial details is crucial in three-dimensional optical imaging. We provide experimental evidence showcasing the ultimate precision achievable in axi…

quant-ph2022★ 60 cited

Neural-network quantum state tomography

D. Koutny, L. Motka, Z. Hradil +2

We revisit the application of neural networks techniques to quantum state tomography. We confirm that the positivity constraint can be successfully implemented with trained network…

quant-ph2021

Exploring the ultimate limits: Super-resolution enhanced by partial coherence

Zdeněk Hradil, Dominik Koutný, Jaroslav Řeháček

The resolution of separation of two elementary signals forming a partially coherent superposition, defined by quantum Fisher information and normalised with respect to detection pr…

quant-ph2021

Axial superlocalization with vortex beams

D. Koutny, Z. Hradil, J. Rehacek +1

Improving axial resolution is of paramount importance for three-dimensional optical imaging systems. Here, we investigate the ultimate precision in axial localization using vortex…

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★ 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…

quant-ph2018★ 5 cited

Compressed sensing of twisted photons

F. Bouchard, D. Koutny, F. Hufnagel +8

The ability to completely characterize the state of a quantum system is an essential element for the emerging quantum technologies. Here, we present a compressed-sensing inspired m…

quant-ph2018★ 51 cited

Adaptive compressive tomography with no a priori information

D. Ahn, Y. S. Teo, H. Jeong +8

Quantum state tomography is both a crucial component in the field of quantum information and computation, and a formidable task that requires an incogitably large number of measure…