- Advanced Optical Sensing Technologies
- Orbital Angular Momentum in Optics
- Random lasers and scattering media
- Digital Holography and Microscopy
- Optical Coherence Tomography Applications
- Adaptive optics and wavefront sensing
- Quantum Mechanics and Applications
- Quantum Information and Cryptography
- Laser-Matter Interactions and Applications
- Quantum optics and atomic interactions
- Fluid Dynamics and Turbulent Flows
- Advanced Fluorescence Microscopy Techniques
- Quantum Computing Algorithms and Architecture
- Advanced Thermodynamics and Statistical Mechanics
- Advanced Fiber Laser Technologies
- Laser Material Processing Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Near-Field Optical Microscopy
- Neural Networks and Reservoir Computing
- Laser-Plasma Interactions and Diagnostics
- Photoacoustic and Ultrasonic Imaging
- Atomic and Subatomic Physics Research
- Advanced Statistical Methods and Models
- Cold Atom Physics and Bose-Einstein Condensates
- Spectroscopy and Chemometric Analyses
Palacký University Olomouc
2013-2025
Meopta Optika (Czechia)
2015
We revisit the application of neural networks to quantum state tomography. confirm that positivity constraint can be successfully implemented with trained convert outputs from standard feed-forward valid descriptions states. Any neural-network architecture adapted our method. Our results open possibilities use state-of-the-art deep-learning methods for reconstruction under various types noise.
We introduce an application of the Hartmann sensor, traditionally designed for wavefront sensing, to measure coherence properties optical signals. By drawing analogy between matrix and density a quantum system, we recast sensor operation as estimation problem. experimentally demonstrate its effectiveness in regime where signals from different apertures significantly overlap, enabling information extraction beyond reach standard sensing. Published by American Physical Society 2025
We review the advancement of research toward design and implementation quantum plenoptic cameras, radically novel 3D imaging devices that exploit both momentum–position entanglement photon–number correlations to provide typical refocusing ultra-fast, scanning-free, capability devices, along with dramatically enhanced performances, unattainable in standard cameras: diffraction-limited resolution, large depth focus, ultra-low noise. To further increase volumetric resolution beyond Rayleigh...
Optical beams with topological singularities have a Schmidt decomposition. Hence, they display features typically associated bipartite quantum systems; in particular, these classical can exhibit entanglement. This entanglement be quantified by Bell inequality formulated terms of Wigner functions. We experimentally demonstrate the violation this for Laguerre-Gauss (LG) and confirm that increases increasing orbital angular momentum. Our measurements yield negativity function at origin...
We report the experimental point-by-point sampling of Wigner function for nonclassical states created in an ultrafast pulsed type-II parametric down-conversion source. use a loss-tolerant time-multiplexed detector based on fiber-optical setup and pair photon-number-resolving avalanche photodiodes. By capitalizing expedient data-pattern tomography, we assess properties light with outstanding accuracy. The method allows us to reliably infer squeezing genuine two-mode without any phase reference.
The information gained by performing a measurement on physical system is most appropriately assessed the Fisher information, which in fact establishes lower bounds estimation errors for an arbitrary unbiased estimator. We revisit basic properties of and demonstrate its potential to quantify resolution optical systems. illustrate this with some conceptually important examples, such as single-slit diffraction, spectroscopy superresolution techniques.
We report the experimental reconstruction of statistical properties an ultrafast pulsed type-II parametric down conversion source in a periodically poled KTP waveguide at telecom wavelengths, with almost perfect photon-number correlations. used photon-number-resolving time-multiplexed detector based on fiber-optical setup and pair avalanche photodiodes. By resorting to germane data-pattern tomography, we assess nonclassical light states unprecedented precision.
We give a detailed account of an efficient search algorithm for the data-pattern tomography proposed by J. Rehacek, D. Mogilevtsev, and Z. Hradil [Phys. Rev. Lett. 105, 010402 (2010)], where quantum state system is reconstructed without priori knowledge about measuring setup. The method especially suited experiments involving complex detectors, which are difficult to calibrate characterize. illustrate approach with case study homodyne detection nonclassical photon state.
We compare the two main techniques used for estimating state of a physical system from unknown measurements: standard detector tomography and data-pattern tomography.Adopting linear inversion as fair benchmark, we show that difference between these protocols can be traced back to nonexistence reverse-order law pseudoinverses.We capitalize on this fact identify regimes where approach outperforms one vice versa.We corroborate conclusions with numerical simulations relevant examples quantum tomography.
We devise a systematic method to determine the Fisher information required for resolving two incoherent point sources with diffraction-limited linear imaging device. The resulting Cramér-Rao bound gives lowest variance achievable an unbiased estimator. When only intensity in image plane is recorded, this diverges as separation between tends zero, effect which has been dubbed Rayleigh's curse. However, curse can be lifted using suitable coherent measurements. In particular, we class of...
Abstract We show that quantum state tomography with perfect knowledge of the measurement apparatus proves to be, in some instances, inferior strategies discarding all information about at hand, as case data pattern tomography. In those scenarios, larger uncertainty is traded for smaller reconstructed signal. This effect more pronounced minimal or nearly informationally complete settings, which are utmost practical importance.
We introduce a new generation of 3D imaging devices based on quantum plenoptic imaging. Position-momentum entanglement and photon number correlations are exploited to provide scan-free image after post-processing the collected light intensity signal. explore steps toward designing implementing plenop- tic cameras with dramatically improved performances, unattainable in standard cameras, such as diffraction-limited resolution, large depth focus, ultra-low noise. However, make these types...
Wavefront sensing is an advanced technology that enables the precise determination of phase a light field, a critical information for many applications, such as noncontact metrology, adaptive optics, and vision correction. Here, we reinterpret operation wavefront sensors simultaneous unsharp measurement position and momentum. Utilizing quantum tomography techniques report experimental characterization 3D imaging multimode laser light.
We experimentally show that wavefront detection combined with tomography processing can be used for the complete characterization of second-order coherence and hence 3D imaging partially coherent vortex beams.
We experimentally show how Shack-Hartmann tomography enables measuring the mutual coherence function of multimode laser light and thus enable proper description beam intensity propagation. A standard single-shot measurement is used in method.
We reinterpret the operation of wavefront sensors as a simultaneous unsharp measurement position and momentum. Utilizing quantum tomography techniques we report experimental characterization 3D imaging partially coherent vortex fields.
Further improving the axial resolution is paramount for three-dimensional optical imaging systems. Vortex beams are being widely applied in 3D microscopy techniques. Here we theoretically investigate ultimate limits using Laguerre-Gauss (LG) beams. Various kinds of superpositions can nowadays be easily prepared by spatial light modulators (SLM). It has been keenly shown that LG beams' possess more information than pure yet do not saturate limit with a simple intensity scan. More...
Enhancing the ability to resolve axial details is crucial in three-dimensional optical imaging. We provide experimental evidence showcasing ultimate precision achievable localization using vortex beams. For Laguerre-Gauss (LG) beams, this remarkable limit can be attained with just a single intensity scan. This proof-of-principle demonstrates that microscopy techniques based on LG beams potentially benefit from introduced quantum-inspired superresolution protocol.
Enhancing the ability to resolve axial details is crucial in three-dimensional optical imaging. We provide experimental evidence showcasing ultimate precision achievable localization using vortex beams. For Laguerre-Gauss (LG) beams, this remarkable limit can be attained with just a single intensity scan. This proof-of-principle demonstrates that microscopy techniques based on LG beams potentially benefit from introduced quantum-inspired superresolution protocol.
We show theoretically and experimentally that wavefront detection combined with tomography processing can be used for the complete characterization of second-order coherence hence 3D imaging partially coherent optical beams.
The concepts of quantum detection and estimation theory can be great help in the analysis faint signals, which must treated with extreme care due to fragility subtlety. But this is surely not only domain, where advanced may applied. Strong optical fields analyzed by similar techniques since virtue first quantization any wave plays role a state. More precisely, classical mode light given alternative interpretation as state spatial degrees freedom photon. Here formulation optics meets those...
We show the coherence properties of a signal can be measured by Hartmann wavefront sensor in nonclassical regime. Recasting detection theory classical sense quantum tomography enables to measure function, which is an analogy density matrix mixed states. Two methods were tested for reconstruction from intensity scan mode sensor. The was performed classic way using POVM and data pattern tomography.