Researchers at Stanford have developed an approach to dramatically improve the efficiency of microwave-to-optical quantum transduction – a significant step towards realizing efficient communication between distant superconducting quantum systems.
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 are advancing a new class of nonlinear optical devices that operate with significantly lower energy requirements than previous platforms.
Stanford researchers at Prof. Safavi-Naeini's laboratory have developed a high quality, scalable processor architecture using small, phononic crystal resonators for read-out and long-lived storage in superconducting circuit quantum computing.
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).
Researchers at Stanford have developed a structure for a Low-Threshold Germanium laser that is easily integrable into electronic and photonic circuits, and competitive with current state-of-the-art III-V lasers.
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.
A team of Stanford researchers has developed an efficient, scalable quantum computing system designed to quickly solve combinatorial optimization problems using off-the-shelf components operating at room temperature.