Photonic integrated circuits are an important, next-wave technology. These sophisticated microchips hold the potential to substantially decrease costs and increase speed and efficiency for electronic devices across a wide range of application areas, including automotive technology, communications, healthcare, data storage, and computing for artificial intelligence.
Tag: Mo Li
UW research team uses sound waves to move ‘excitons’ further than ever before
A team led by NanoES faculty member and UW ECE Professor Mo Li has developed a way of using sound waves to move subatomic quasiparticles known as ‘excitons’ further than ever before — leading to a faster, more energy-efficient computing circuit.
Harnessing noise in optical computing for AI
UW ECE and Physics Professor Mo Li and his research team have developed a way to use stray photons generated by optical computing lasers (“noise”) to help enhance the creativity of artificial intelligence. This line of research holds huge potential for computing speed and efficiency, as well as the promise of reducing environmental impacts of AI and machine learning.
Professor Mo Li named 2021 Optica Fellow
UW ECE Professor Mo Li recently received the honor of being named an Optica Fellow for his leading contributions to the fields of optics and photonics. Li is also a professor in the UW Department of Physics and a member of the Institute for Nano-Engineered Systems at the UW.
UW-led team receives $5M award to help bring quantum computing into the real world
A multi-institutional research team led by NanoES faculty members Mo Li, Arka Majumdar and Karl Böhringer is developing a powerful, miniaturized optical control engine, called PEAQUE, which will greatly increase capacity and speed of quantum computers.
Bringing light into computers to accelerate AI and machine learning
NanoES faculty member and ECE Professor Mo Li is part of a multi-institutional research team, which has received a four-year grant from the National Science Foundation to develop a new type of computer chip that uses laser light for AI and machine learning computation.