Lightelligence, a leader in optical computing, today announced the launch of the Lightelligence Moonstone™ laser, which is essentially a small, high-power single wavelength/multi-wavelength laser source for a wide range of applications such as optical and quantum computing, optical I/O, lidar and sensing.
Lightelligence has just launched its Photonic Arithmetic Computing Engine (PACE) platform, which leverages custom 3D packaging and seamless co-design to fully integrate photonics and electronics in one small size. PACE is the only fully integrated optical computing system to work at publicly demonstrated speeds to date.
The Lightelligence Moonstone™ laser is a perfect fit for its PACE computing platform and is compact, flexible and low power, making it ideal for powerful computing applications as well as laser imaging and sensing applications.
The Lightelligence Moonstone™ light source is packaged in a compact semi-closed package that can be customized to different form factors. It offers up to 8 + wavelengths and enables high laser output power, low power/low loss optical coupling and thermal control.
The Moonstone electrical interface consists of a 21-pin flexible PCB connection (FPC) cable and connector that accepts control signals from the host control board. In the laser module, the current drives the laser chip and the thermoelectric cooling (TEC), resistance temperature detector (RTD) controls and monitors the temperature of the laser module.
The optical interface uses 4-channel mechanical transfer (MT)/ Angular Physical contact (APC) bushing for single wavelength and 1-channel Lucent connector (LC)/APC connector for multi-wavelength. The connector can be replaced with other standard fiber optic terminals.
Founded in 2017, Lightelligence has about 200 employees worldwide and raised more than $200 million in funding. The company has a complete portfolio of advanced optical computing systems that transform cutting-edge photonics technology into breakthrough computing solutions that achieve exponential increases in computing power and greatly reduce energy consumption.
Source: OFweek