Loading...
News Article

Bimetallic all-optical switch could lead to faster computer processors

News

Researchers at the US Department of Energy’s (DOE) Argonne National Laboratory and Purdue University have created a new kind of all-optical switch that can both transmit data and store it efficiently. The scientists say that their bimetallic switch, which is described in a new paper in Nature Communications, could pave the way for faster computer processors.

Conventional processors seem to have reached the upper boundary of their “clock speeds” — a measurement of how fast they can toggle on and off — due to the limitations of electronic switching. Scientists looking to make improvements in computer processors have therefore become intrigued by the potential of all-optical switching, which uses light instead of electricity to control how data is processed and stored on a chip. The authors of the new paper say that their all-optical switch could realise this potential.

“Previous iterations of optical switches had fixed switching times that were ‘baked in’ to the device upon its fabrication,” said Argonne’s Soham Saha, one of the laboratory’s Maria Goeppert Mayer postdoctoral fellows, who is working in the Argonne Center for Nanoscale Materials, a DOE Office of Science user facility.

Saha and his colleagues have made an optical switch out of two different materials, each with a different switching time. One material, aluminium-doped zinc oxide, has a switching time in the picosecond range, while the other material, plasmonic titanium nitride, has a switching time more than a hundred times slower, in the nanosecond range.

“When you use optical components instead of electronic circuits, there are no resistive-capacitive delays, which means that in theory you could operate these chips a thousand times faster than conventional computer chips,” Saha explained.

The difference in switching times between the two metal components means that the switch can be more flexible and used to both transmit data quickly while also storing it effectively, according to Saha. “The bimetallic nature of the switch means that it can be used for multiple purposes depending on the wavelength of the light that you use,” he added. “When you want slower applications, like memory storage, you switch with one material; for faster applications, you switch with the other one. This capability is new.”

In the experimental configuration, the materials of the switch function as light absorbers or reflectors, depending on the wavelength of operation. When they are switched on by a light beam, they switch state.

Controlling the speed of all-optical switches is crucial for optimising their performance in various applications. These findings offer promise for the development of highly adaptable and efficient switches in fields like enhanced fibre optic communication, optical computing and ultrafast science. The ability to adjust switch speeds also brings us closer to bridging the gap between optical and electronic communications, enabling faster and more efficient data transmission.

Argonne National Laboratory press release: https://www.anl.gov/article/researchers-develop-alloptical-switches-that-could-lead-to-faster-computer-processors

Quintessent appoints Bob Nunn chief operating officer
PI to demonstrate new PIC alignment system at Photonics West
Drut launches 2500 product series with CPO for AI datacentres
III-V Epi advocates GaAs for new lasers
Marvell announces new CPO architecture for custom AI accelerators
Printing high-speed modulators on SOI
Photon IP raises €4.75m for advanced PICs
ANELLO Photonics launches Maritime Inertial Navigation System
Aeluma joins AIM Photonics as full industry member
Imec makes breakthrough with GaAs lasers on silicon
POET acquires Super Photonics Xiamen
Voyant Photonics launches affordable Carbon LiDAR
Penn State makes breakthrough in photonic switching
New nanocrystals could lead to more efficient optical computing
QCi awarded NASA contract to apply Dirac-3 photonic optimisation solver
The Netherlands launches ChipNL Competence Centre
TOPTICA to create chip-integrated lasers for quantum PIC project
NSF selects six pilot projects for National Quantum Virtual Laboratory
SiLC Technologies launches Eyeonic Trace Laser Line Scanner
Southwest Advanced Prototyping Hub awarded $21.3 million CHIPS Act funding
Cambridge Graphene Centre and CORNERSTONE to participate in PIXEurope
Cost-effective lasers for extended SWIR applications
IBM unveils co-packaged optics technology for AI and datacentres
QCi announces $50 million concurrent stock offerings
CHIPS Act funding to be awarded to Coherent, Skywater, and X-Fab
ERC consolidator grant awarded for optoacoustic neural network project
Imec demonstrates InP chiplet integration on 300 mm RF silicon interposer
Ayar Labs raises $155 million for optical I/O
Celestial AI awarded 2024 Start-up to Watch by Global Semiconductor Alliance
Researchers develop “last missing piece” of silicon photonics
Quantum sensors for controlling prosthetics
UPVfab to participate in European Commission photonic chips project

×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
x
Logo
×
Register - Step 1

You may choose to subscribe to the PIC Magazine, the PIC Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in: