Researchers at Stanford are developing a device that uses quantum engineered states and interactions to detect electromagnetic waves with a sensitivity and bandwidth beyond that possible with existing technology.
Researchers at Stanford have developed a non-destructive method for generating and patterning optical color centers with nanoscale resolution without the need for high energy radiation. Color centers, which are optically active defects within the lattice structur
Machine learning models currently require extensive computational resources and this demand is growing rapidly with new models and applications being introduced.
Stanford researchers developed a method to make large phase shifts with little or no power dissipation in integrated optics. The approach uses a directional coupler moved by a MEMS actuator to achieve a path delay, i.e. an effective change in refractive index.
Engineers in Prof. Shanhui Fan's laboratory have developed an efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.
Stanford researchers at the Vuckovic Lab have created a computational nanophotonic design library for gradient-based optimization called the Stanford Photonic INverse design Software (Spins).
Stanford researchers have developed a method to make non-ideal beam-splitters operate as perfect beam-splitters, using a double Mach-Zehnder interferometer.
Stanford researchers developed a device that converts microwave signals (quantum logic) to optical signals using a silicon-on-lithium-niobate photonic crystal cavity.