Optics/opto-electronics has already proved its successfulness over electronics in the field of computation. There are lots of proposals reported in this field exploiting the inherent advantages of optics. Here in this communication we report an opto-electronic and all-optical 'flip-flop' used as memory/storage unit for developing a super-fast computing system by the exploitation of proper non-linear character of some materials.
Residue arithmetic is a very promising mathematical approach accepted in optical parallel processing and computing for its inherent parallelism. Here in this paper is an integrated optical scheme using residue arithemetic is proposed.
Residual arithmetic is a very recognized mathematical approach accepted in optical parallel processing for its inherent parallelism. Here in this paper we propose a new concept of using residue arithmetic in optical flip-flop or memory element.
Here, we refer our new proposal of applying multi-valued logic (particularly tristate logic) to develop logic gates and systems for arithmetic operation. Space-variant approach is used here to implement the functioning. Also triple input image detection is done here.
The advantages of multivalued logic in optical parallel computation need no introduction. There are lots of proposals, already reported,where tristate, quarternary state logic operations can be performed with optics. Here in this communication we report a completely new approach to implement quarternary state logic operations and their practical possibilities in optical computation.
Non-linear optical materials have wide uses in the optically control switching systems, and therefore in all-optical parallel computation these materials show a potential prospect. Here in this communication we propose an idea of expressing an analog optical signal by its respective digital counterpart. The analog optical signal may be successfully expressed here by the scheme in proper digital data in binary form. To develop the scheme it requires a system guided by tree architecture followed by a combination of non-linear and linear material. The input light beam whose analog intensity value is supposed to be expressed in binary data form should be a polarized light beam (preferably a laser beam) for properly activating the non-linear material. We now describe the whole scheme in detail.
In optical computation matrix multiplication takes an important role for the purpose of digital data processing. Lot of proposals with various techniques on matrix-matrix multiplication have been seen in the last few decades. Here in this communication the authors propose a new concept of digital matrix multiplication scheme with fiber optic spatial maps.