Scientists boost quantum signals while reducing noise
“Squeezing” noise over a broad frequency bandwidth in a quantum system could lead to faster and more accurate quantum measurements.
“Squeezing” noise over a broad frequency bandwidth in a quantum system could lead to faster and more accurate quantum measurements.
Stacking light-emitting diodes instead of placing them side by side could enable fully immersive virtual reality displays and higher-resolution digital screens.
Their technique could allow chip manufacturers to produce next-generation transistors based on materials other than silicon.
Researchers have demonstrated directional photon emission, the first step toward extensible quantum interconnects.
A new method can produce a hundredfold increase in light emissions from a type of electron-photon coupling, which is key to electron microscopes and other technologies.
Palacios has served as director of the 6-A MEng Thesis Program, industry officer, and professor of electrical engineering.
Researchers develop a scalable fabrication technique to produce ultrathin, lightweight solar cells that can be seamlessly added to any surface.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Researchers have developed a programmable optical device for high-speed beam steering.
Valued mentor was known for research in intensity perception, hearing-impairment characterization, and aids for the deaf.
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
PhD student Alex Greene studies superconducting quantum computing systems while rounding out their busy schedule with water sanitation projects.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.