Replacing electrons with photons could enable large amounts of data to be transferred between processor cores almost instantly, which in turn means that the processor performance will be nearly proportional to the number of cores. However, due to diffraction, photonic components are not as easy to scale down as electronic components. Their dimensions cannot be smaller than the size approximately equal to the light wavelength (about 1000 nm, or 1 μ), but transistors will soon be as small as 10 nm.
This fundamental problem can be solved by switching from bulk waves to surface waves, which are known as surface plasmon polaritons (SPPs), enabling the confinement light on the nanoscale.
The main challenge to the transition is that SPPs are absorbed by metal, a key material in plasmonics. The effect is similar to resistance in electronics, where the energy of electrons is lost and converted into heat when current passes through a resistor. The SPP loss can be compensated by pumping additional energy into the SPPs. However, this pumping will produce additional heat; this will cause an increase in temperature not only in the plasmonic components, but also in the processor as a whole.
The higher absorption in the metal, the greater the loss, and the stronger pumping will be required. This raises the temperature, which again causes a loss increase and makes it more difficult to create the optical gain that is required to compensate for the loss; subsequently, more powerful pumping is required. A cycle is formed in which the temperature can rise to such an extent that a processor chip simply burns out.
The heating power per surface unit of the active plasmonic waveguide with loss compensation exceeds 10 kW/cm2, said MIPT researchers. This is twice as high as the intensity of solar radiation at the surface of the Sun.
The MIPT team, led by Dmitry Fedyanin and Andrey Vyshnevyy, has now demonstrated the use of high-performance thermal interfaces — layers of thermally conductive materials placed between the chip and the cooling system — to efficiently remove heat from the system. The researchers used industry-standard heat sinks. Fedyanin and Vyshnevyy explain their work in the video below.