A5025775082- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Quantum optics and atomic interactions
- Photonic and Optical Devices
- Optical Wireless Communication Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Explainable Artificial Intelligence (XAI)
- Cold Atom Physics and Bose-Einstein Condensates
- Mechanical and Optical Resonators
- Quantum Mechanics and Applications
- Astrophysics and Star Formation Studies
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Laser Design and Applications
- Orbital Angular Momentum in Optics
- Molecular spectroscopy and chirality
- Laser-induced spectroscopy and plasma
- Computational Physics and Python Applications
- Optical Network Technologies
- Data Visualization and Analytics
University of Ottawa
2021-2024
Photons are the physical system of choice for performing experimental tests foundations quantum mechanics. Furthermore, photonic technology is a main player in second revolution, promising development better sensors, secure communications, and quantum-enhanced computation. These endeavors require generating specific states or efficiently tasks. The design corresponding optical experiments was historically powered by human creativity but recently being automated with advanced computer...
The Hong-Ou-Mandel (HOM) effect, an effective two-photon interference phenomenon, is a cornerstone of quantum optics and key tool for linear optical information processing. While the HOM effect has been extensively studied both theoretically experimentally various photonic states, particularly in spectral domain, detailed overviews its behaviour structured photons -- those with complex spatial profiles under arbitrary mode measurement schemes are still lacking. This tutorial aims to fill...
Abstract With a mass in the Neptune regime and radius of Jupiter, WASP-107b presents challenge to planet formation theories. Meanwhile, planet’s low surface gravity star’s brightness also make it one most favorable targets for atmospheric characterization. Here, we present results an extensive 4 yr Keck/HIRES radial-velocity (RV) follow-up program WASP-107 system provide detailed study physics governing accretion gas envelope WASP-107b. We reveal that WASP-107b’s is only 1.8 masses ( M b =...
Abstract Despite their promise to facilitate new scientific discoveries, the opaqueness of neural networks presents a challenge in interpreting logic behind findings. Here, we use eXplainable-AI technique called inception or deep dreaming , which has been invented machine learning for computer vision. We this explore what learn about quantum optics experiments. Our story begins by training on properties systems. Once trained, ‘invert’ network—effectively asking how it imagines system with...
Abstract Efficient and accurate characterization of an experimental setup is a critical requirement in any physical setting. In the quantum realm, unknown operator experimentally accomplished via Quantum Process Tomography. This technique combines outcomes different projective measurements to reconstruct underlying process matrix, typically extracted from maximum-likelihood estimation. Here, we exploit logical correspondence between optical polarization two-level systems retrieve complex...
Abstract Optical knots and links are nontrivial three-dimensional topologies consisting of trajectories phase or polarisation singularities. They theoretically predicted experimentally observed in paraxial nonparaxial regimes random speckle fields. The topological nature optical suggests that environmental disturbances should not alter their topology, hence becoming a resilient vector information. However, the robustness under typical encountered experiments has been investigated. Here, we...
Vaidman, Aharanov, and Albert [ Phys. Rev. Lett. 58 ( 14 ), 1385 1987 ) 10.1103/PhysRevLett.58.1385 ] put forward a puzzle called the mean king’s problem (MKP) that can be solved only by harnessing quantum entanglement. Prime-powered solutions to have been shown exist, but they not yet experimentally realized for any dimension beyond two. We propose general first-of-its-kind experimental scheme solving MKP in prime dimensions D ). Our search is guided digital discovery framework Pytheus ,...
Photons are the physical system of choice for performing experimental tests foundations quantum mechanics. Furthermore, photonic technology is a main player in second revolution, promising development better sensors, secure communications, and quantum-enhanced computation. These endeavors require generating specific states or efficiently tasks. The design corresponding optical experiments was historically powered by human creativity but recently being automated with advanced computer...
The characterization of a unitary gate is experimentally accomplished via Quantum Process Tomography, which combines the outcomes different projective measurements to reconstruct underlying operator. process matrix typically extracted from maximum-likelihood estimation. Recently, optimization strategies based on evolutionary and machine-learning techniques have been proposed. Here, we investigate deep-learning approach that allows for fast accurate reconstructions space-dependent SU(2)...
Atmospheric turbulence is the main barrier to large-scale free-space quantum communication networks. Aberrations distort optical information carriers, thus limiting or preventing possibility of establishing a secure link between two parties. For this reason, forecasting strength within an channel highly desirable, as it allows for knowing optimal timing establish in advance. Here, we train Recurrent Neural Network, TAROCCO, predict channel. The training based on weather and data collected...
The evolution of a quantum system interacting with an environment can be described as unitary process acting on both the and environment. In this framework, system's predicted by tracing out environmental degrees freedom. Here, we establish precise mapping between global dynamics operation involving system, wherein is single qubit, modeled discrete lattice space. This approach enables implementation arbitrary noise operations single-polarization qubits using minimal set three liquid-crystal...
Optical knots and links, consisting of trajectories phase or polarisation singularities, are intriguing nontrivial three-dimensional topologies. They theoretically predicted experimentally observed in paraxial non-paraxial regimes, as well random speckle fields. Framed nested can be employed security protocols for secret key sharing, quantum money, topological computation. The nature optical suggests that environmental disturbances should not alter their topology; therefore, they may...
In 1987, Vaidman, Aharanov, and Albert put forward a puzzle called the Mean King's Problem (MKP) that can be solved only by harnessing quantum entanglement. Prime-powered solutions to problem have been shown exist, but they not yet experimentally realized for any dimension beyond two. We propose general first-of-its-kind experimental scheme solving MKP in prime dimensions ($D$). Our search is guided digital discovery framework PyTheus, which finds highly interpretable graph-based...
Despite their promise to facilitate new scientific discoveries, the opaqueness of neural networks presents a challenge in interpreting logic behind findings. Here, we use eXplainable-AI (XAI) technique called $inception$ or $deep$ $dreaming$, which has been invented machine learning for computer vision. We this explore what learn about quantum optics experiments. Our story begins by training deep on properties systems. Once trained, "invert" network -- effectively asking how it imagines...