General & Applied Physics · Physics & Astronomy
Optics
The newest papers in Optics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
427 papers, from 31 August 2026 to 5 November 2026: 369 arXiv preprints and 58 OpenAlex records.
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Newest papers, page 11
Parametrically Enhanced Ergotropy and Charging Power in a Three-Mode Bosonic Quantum Battery
Quantum batteries are quantum systems that potentially serve as fuel for other quantum devices by receiving and supplying energy.Parameter-Decoupled Superresolution with Airy-Disk-Informed Learning: Application to NGC 4486B
Estimating the separation of two unresolved or nearly unresolved sources from recorded intensity images is difficult when source brightness, mutual coherence, and phase are unknown and the…Quantum circuit simulation with high-order optical tensor processing
Classical simulation is essential for developing and testing quantum circuits, but the exponential growth of Hilbert space challenges conventional digital processors.Ultrafast light-electron modulation for free-electron quantum optics: fundamentals and applications
Coherent optical modulation of free-electron wavepackets offers a route to ultrafast beam steering, energy exchange, temporal compression, and quantum-state shaping.Generation of quantum light with tunable Wigner negativity with a semiconductor quantum dot
Wigner-negative states of light are key resources for quantum advantage in continuous-variable optical quantum computing.Multi-day single-cell magnetic imaging of living cancer cells using Quantum Cell Monitoring
Live-cell imaging of cellular and tissue samples relies predominantly on optical modalities, such as fluorescence, confocal, and multiphoton microscopy, in which cellular information is encoded in…Hybrid Mamba-Transformer Network for Single-Shot 3D Reconstruction from Fringe Patterns
Deep learning facilitates rapid single shot three dimensional (3D) reconstruction using fringe projection profilometry (FPP), but recovering accurate surface height from a single high frequency…Functional Superoscillations in a Wave Processor
Physical wave processors are constrained by diffraction, but the bandwidth of the mathematical functions they implement need not be set by it.Matter that learns what matters
Can a material learn what deserves its attention?Krylov geometry and optimal recovery under uncertain coherent noise
Recovery from a coherent rotation with an unobserved angle depends on both the encoding and what calibration reveals about the noise.Deep-Microscopic Photonic Bandstructure of a Two-Dimensional Honeycomb Lattice
Conventional descriptions of light in materials rely on macroscopic models that average the optical response over the microscopic lattice structures.Robustness of Quantum Correlations and Controlled Teleportation Fidelity under Noisy Channels
In distributed quantum computing, quantum networks provide a potential infrastructure for long-range quantum information processing.Bogoliubov Dynamics and Zitterbewegung in Optical Dirac Systems
We develop a bosonic Bogoliubov description of Zitterbewegung in time-dependent optical-Dirac systems.High Resolution Hyperspectral Quantum Infrared Imaging with Undetected Photons
Quantum sensing in the infrared regime often demands the use of expensive and cryogenically operated detectors.Computational imaging through turbid, bubbly and flowing water near the telescope
Cameras in the surf zone or behind ship wakes look through turbid, bubbly, moving water close to the lens, yet restoration networks are usually scored only on displayed images.Nonclassicality from Incomplete Fock-State Statistics
Nonclassicality in bosonic systems can be certified directly from occupation probabilities without full state reconstruction.Generating entanglement in quantum matter with pathway-entangled photons via resonant inelastic X-ray scattering
Resonant inelastic X-ray scattering (RIXS) is conventionally used to probe elementary excitations and correlations in quantum materials.Real Time Motion Detection in Video Inspired by Photonic Time Stretch
Motion perception is fundamental to computer vision and physical AI, and plays a central role in robotics, autonomous vehicles, human-computer interaction, and video compression.Contact-Free Nuclear and Cytoplasmic Mechanophenotyping by Amplitude-Modulated Ultrasound and Phase-Locked Optical Diffraction Tomography: Computational Feasibility and Initial Experimental Readouts
We investigate whether acoustic stimulation combined with phase-locked optical diffraction tomography (ODT) could measure the mechanical responses of the nucleus and cytoplasm separately in adherent…Wavenumber-Aware Deep Learning for Robust Analysis of Raman Spectra
Machine-learning models for spectroscopy usually treat a spectrum as a fixed-grid intensity vector, leaving the physical coordinate implicit in the array index.
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