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Intel claims breakthrough with 40Gbit/sec. optical component

By Sumner Lemon
July 25, 2007 12:00 PM ET

IDG News Service - Intel Corp. researchers are a step closer to creating chips that transmit data at high speeds using light instead of electrons, but products based on the technology appear to remain a long way off.

On Wednesday, a team of Intel researchers unveiled a laser modulator made of silicon that can encode data at speeds up to 40Gbit/sec., a significant increase in speed for the company.

The new modulator, which converts electrical data into light, opens the door to high-speed optical interconnects for computers and, when combined with 25 hybrid silicon lasers on a single chip, could transmit terabits of data per second, wrote Ansheng Liu, principal engineer at Intel's Corporate Technology Group, in a blog post.

Optical interconnects are desirable because fiber optic connections offer more bandwidth and carry data farther than copper, which is currently used to connect chips and move data inside a computer. Because they use laser light to transmit data, optical interconnects also eliminate the heat created by resistance as electrons pass through a copper trace.

Liu did not offer any indication of when Intel's silicon-photonics technology will find its way into a commercial product, suggesting commercial products are at least several years away.

Intel has been working on silicon laser modulators for some time, hoping to bring down costs by manufacturing these components with the same technology used to produce silicon computer chips. The company claimed its first breakthrough in 2004, with a 1-GHz modulator the company claimed was 50 times faster than any other silicon modulator. The following year, Intel developed a modulator capable of encoding data at speeds up to 10Gbit/sec.

The 40Gbit/sec. speed achieved by the company's latest modulator matches the fastest modulators made using other, more-expensive components, Liu said.

Reprinted with permission from IDG.net. Story copyright 2014 International Data Group. All rights reserved.
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