Results 191 to 200 of about 471,861 (312)

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

Advanced Photonics Research, EarlyView.
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel, Miroslava Cano‐Lara, Andres A. Garcia‐Granada, Andres Espinal, Marcos J. Villaseñor‐Aguilar, Leonardo Martinez‐Jimenez, Horacio Rostro‐Gonzalez   +6 more
wiley   +1 more source

Quantum cryptography beyond quantum key distribution. [PDF]

Des Codes Cryptogr, 2016
Broadbent A, Schaffner C.
europepmc   +1 more source

Quantum cryptographic three party protocols

, 2000
Joern Mueller-Quade, Hiroyuki Imai
openalex   +2 more sources

Multiple Incoherent Deconvolutions for Improving the Image Resolution of Diffraction‐Limited Imaging Systems

Advanced Photonics Research, EarlyView.
Multiple incoherent nonlinear deconvolutions (MIND) has extended dimension for optimization that provides a better solution than Wiener deconvolution and nonlinear reconstruction. MIND minimizes deconvolution noise by averaging over multiple deconvolutions each with different system aperture that effectively enhances the resolution.
Jawahar Prabhakar Desai, Vijayakumar Anand, Joseph Rosen   +2 more
wiley   +1 more source

Research on Development Progress and Test Evaluation of Post-Quantum Cryptography. [PDF]

Entropy (Basel)
Zhang M, Wang J, Lai J, Dong M, Zhu Z, Ma R, Yang J.   +6 more
europepmc   +1 more source

Ground to satellite secure key exchange using quantum cryptography [PDF]

, 2002
John Rarity, P. R. Tapster, P.M. Gorman, Paul Knight   +3 more
openalex   +1 more source

Low‐Loss Parowax‐Imprinted Diffractive Neural Network for Orbital Angular Momentum Terahertz Holographic Imaging

Advanced Photonics Research, EarlyView.
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia, Miguel A. Gomez, Steve Blair, Michael A. Scarpulla, Berardi Sensale‐Rodriguez   +4 more
wiley   +1 more source

Twin neural network regression

Applied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel, Kevin Ryczko, Roger Gordon Melko, Isaac Tamblyn   +3 more
wiley   +1 more source

Post-quantum cryptography and the quantum future of cybersecurity. [PDF]

Phys Rev Appl
Liu YK, Moody D.
europepmc   +1 more source

Stimulated Raman Scattering with Optical Vortex Beams

Advanced Photonics Research, EarlyView.
This study presents exact analytical expressions for stimulated Raman scattering with Laguerre‐Gaussian beams, revealing signal dependence on topological and hyperbolic momentum. The results provide a theoretical foundation for coherent Raman imaging and detecting orbital angular momentum of light via structured light in nonlinear optics.
Minhaeng Cho
wiley   +1 more source