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Parallel Processing with Wavelength-Independent Optoelectronic Logic Gate

Technology Benefits

Processes multiple signals at different wavelengths simultaneously Enables n-bit pattern extraction in real-time streaming data Relatively high power efficiency Maintains OOK formatted input signal Scalable

Technology Application

TelecommunicationsΓÇô Data mining, pattern extraction, data traffic control, data routingΓÇô Label switching, parity checking, pattern recognition

Detailed Technology Description

The new optoelectronic logic gate is wavelength-independent due in part to interferometric switches as comparators of optical bits and electrical bits. In the processing imprint stage the logic gate is separated into two parts consisting of a single interferometric switch for single bit operation to imprint electrical input data on an optical signal, and the comparator stage, consisting of two parallel interferometric switches wherein input data is superimposed on the optical signals compared with target data in the electrical realm. The comparator stage is the key to simultaneous processing, as all relative timing signals can be sent to it at the same time. With the optoelectronic logic gate, a user can locate and detect real-time streaming input data without needing prior knowledge of the data other than its rate. The setup can be scaled with the inclusion of multiple interferometric switches and multiple mode-locked optical frequencies thus detecting much longer target patterns, faster, in streaming data.

*Abstract

Boolean exclusive OR (XOR) and exclusive NOR (XNOR) logic gates are used for data mining, pattern extraction, data traffic control, and data routing in telecommunication applications due to their usefulness in label switching, parity checking, and pattern recognition.Currently available all-optical logic gates cannot process multiple signals at different wavelengths simultaneously as conventional logic gates are wavelength-dependent. The innovation at UCF functions by implementing multiple, simultaneous input signals while searching and detecting a target code in multiple channels at the same time. This way, input data can be processed in real-time, and allows for true parallel processing in multiple channels. This parallel processing provides an advantage over other approaches, both all-optical and electrical, and enables n-bit pattern extraction in real-time streaming data.

*Principal Investigator

Name: Peter Delfyett, Ph.D.

Department:

Name: Ibrahim Ozdur, Ph.D.

Department:

Name: Sarper Ozharar, Ph.D.

Department:

Name: Franklyn Quinlan, Ph.D.

Department:

Country/Region

USA