activity
20202026
most citedUsing adaptiveness and causal superpositions against noise in quantum metrology

55 citations · 166 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Towards Robust Optimal Measurements Against Noise in Quantum Metrology

Xinglei Yu, Xinzhi Zhao, Liangsheng Li +4

Quantum parameter estimation utilizes quantum mechanical effects to attain higher measurement precision than classical schemes. In practical implementations, however, noise is inev…

physics.optics2025

Super-resolution microscopy via fluctuation-enhanced spatial mode demultiplexing

Stanislaw Kurdzialek

We introduce a superresolution technique that combines spatial mode demultiplexing (SPADE) with emitter blinking. We show that temporal fluctuations not only enhance the precision…

quant-ph2025

Optimal phase estimation in the presence of correlated dephasing

Srijon Ghosh, Arkadiusz Kobus, Stanisław Kurdziałek +1

We investigate optimal metrological protocols for phase estimation in the presence of correlated dephasing noise, including spin-squeezed state sensing strategies as well as parall…

quant-ph2025

QMetro++ -- Python optimization package for large scale quantum metrology with customized strategy structures

Piotr Dulian, Stanisław Kurdziałek, Rafał Demkowicz-Dobrzański

QMetro++ is a Python package that provides a set of tools for identifying optimal estimation protocols that maximize quantum Fisher information (QFI). Optimization can be performed…

quant-ph2024★ 5 cited

Universal bounds for quantum metrology in the presence of correlated noise

Stanislaw Kurdzialek, Francesco Albarelli, Rafal Demkowicz-Dobrzanski

We derive fundamental bounds for general quantum metrological models involving both temporal or spatial correlations (mathematically described by quantum combs), which may be effec…

quant-ph2024★ 14 cited

Quantum metrology using quantum combs and tensor network formalism

Stanislaw Kurdzialek, Piotr Dulian, Joanna Majsak +2

We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channe…

quant-ph2023★ 14 cited

Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach

Guillem Müller-Rigat, Anubhav Kumar Srivastava, Stanisław Kurdziałek +3

We introduce a semidefinite programming algorithm to find the minimal quantum Fisher information compatible with an arbitrary dataset of mean values. This certification task allows…

physics.optics2023★ 19 cited

Noise Resistant Phase Imaging with Intensity Correlation

Jerzy Szuniewicz, Stanislaw Kurdzialek, Sanjukta Kundu +4

Interferometric methods, renowned for their reliability and precision, play a vital role in phase imaging. Interferometry typically requires high coherence and stability between th…

quant-ph2023★ 55 cited

Using adaptiveness and causal superpositions against noise in quantum metrology

Stanislaw Kurdzialek, Wojciech Gorecki, Francesco Albarelli +1

We derive new bounds on achievable precision in the most general adaptive quantum metrological scenarios. The bounds are proven to be asymptotically saturable and equivalent to the…

quant-ph2022★ 24 cited

Measurement noise susceptibility in quantum estimation

Stanislaw Kurdzialek, Rafal Demkowicz-Dobrzanski

Fisher Information is a key notion in the whole field of quantum metrology. It allows for a direct quantification of maximal achievable precision of estimation of parameters encode…

quant-ph2021★ 18 cited

Back to sources -- the role of losses and coherence in super-resolution imaging revisited

Stanislaw Kurdzialek

Photon losses are intrinsic for any translationally invariant optical imaging system with a non-trivial Point Spread Function, and the relation between the transmission factor and…

quant-ph2020★ 17 cited

Super-resolution Optical Fluctuation Imaging -- fundamental estimation theory perspective

Stanislaw Kurdzialek, Rafal Demkowicz-Dobrzanski

We provide a quantitative analysis of super-resolution imaging techniques which exploit temporal fluctuations of luminosity of the sources in order to beat the Rayleigh limit. We d…