11 - 20 of 21 Results
Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.
Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.
A human-in-the-loop machine learning (hML) technology potentially enhances experimental workflows by integrating human expertise with AI automation.
The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.
A quantum communication system enabling two-mode squeezing distribution over standard fiber optic networks for enhanced data security.
An ultrabroadband, polarization-entangled photon source for C+L-band quantum networks, enabling adaptive, high-fidelity entanglement distribution.
Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.
In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.
This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.