Optical computing

For decades, photons have shown promise to enable a higher bandwidth than the electrons used in conventional computers (see optical fibers).

All-optical computers eliminate the need for optical-electrical-optical (OEO) conversions, thus reducing electrical power consumption.

In fiber-optic communications, practical limits such as dispersion often constrain channels to bandwidths of tens of GHz, only slightly better than many silicon transistors.

Obtaining dramatically faster operation than electronic transistors would therefore require practical methods of transmitting ultrashort pulses down highly dispersive waveguides.

[7] Resonators are especially useful in photonic logic, since they allow a build-up of energy from constructive interference, thus enhancing optical nonlinear effects.

If we have a fluctuation in the target moment B, it means that we have a solution of the problem, otherwise there is no subset whose sum of elements equals B.

With increasing demands on graphical processing unit-based accelerator technologies, in the second decade of the 21st century, there has been a huge emphasis on the use of on-chip integrated optics to create photonics-based processors.

The optical device contains prisms and mirrors are used to discriminate proper wavelengths which satisfy the formula.

All possible TSP paths have been generated and stored in a binary matrix which was multiplied with another gray-scale vector containing the distances between cities.

Many computations, particularly in scientific applications, require frequent use of the 2D discrete Fourier transform (DFT) – for example in solving differential equations describing propagation of waves or transfer of heat.

Though modern GPU technologies typically enable high-speed computation of large 2D DFTs, techniques have been developed that can perform continuous Fourier transform optically by utilising the natural Fourier transforming property of lenses.

The input is encoded using a liquid crystal spatial light modulator and the result is measured using a conventional CMOS or CCD image sensor.

[26] Some additional companies involved with optical computing development include IBM,[29] Microsoft,[30] Procyon Photonics,[31] Lightelligence,[32] Lightmatter,[33] Optalysys,[34] Xanadu Quantum Technologies, QuiX Quantum, ORCA Computing, PsiQuantum, Quandela [fr], and TundraSystems Global.