Researchers at the University of Oxford have developed a method using the polarization of light to maximize information storage density and computing performance using nanowires. Different wavelengths of light do not interact with each other – a characteristic used by fiberoptics to carry parallel streams of data. Similarly, different polarizations of light do not interact with each other either. Each polarization can be used as an independent information channel, enabling more information to be stored in multiple channels, hugely enhancing information density.
PhD student June Sang Lee from the University of Oxford said: “We all know that the advantage of photonics over electronics is that light is faster and more functional over large bandwidths. So, our aim was to fully harness such advantages of photonics combining with tunable material to realise faster and denser information processing.” In collaboration with C. David Wright, University of Exeter, the research team developed a HAD (hybridized-active-dielectric) nanowire, using a hybrid glassy material which shows switchable material properties upon the illumination of optical pulses. Each nanowire shows selective responses to a specific polarization direction, so information can be simultaneously processed using multiple polarizations in different directions.
Using this concept, researchers have developed the first photonic computing processor to utilise polarisations of light. Photonic computing is carried out through multiple polarization channels, leading to an enhancement in computing density by several orders compared to that of conventional electronic chips. The computing speeds are faster because these nanowires are modulated by nanosecond optical pulses.
For over a decade, researchers in Harish Bhaskaran’s lab in the Department of Materials, University of Oxford, have been looking into using light as a means to compute. Bhaskaran said: “This is just the beginning of what we would like to see in future, which is the exploitation of all degrees of freedoms that light offers, including polarization to dramatically parallelize information processing. Definitely early-stage work, but super exciting ideas that combine electronics, non-linear materials and computing. Lots of exciting prospects to work on which is always a great place to be in!” (Source: Oxford U.)
Link: Advanced Nanoscale Engineering, Dept. of Materials, University of Oxford, Oxford, UK
