2012
DOI: 10.1364/oe.20.004297
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Direct generation of all-optical random numbers from optical pulse amplitude chaos

Abstract: We propose and theoretically demonstrate an all-optical method for directly generating all-optical random numbers from pulse amplitude chaos produced by a mode-locked fiber ring laser. Under an appropriate pump intensity, the mode-locked laser can experience a quasi-periodic route to chaos. Such a chaos consists of a stream of pulses with a fixed repetition frequency but random intensities. In this method, we do not require sampling procedure and external triggered clocks but directly quantize the chaotic puls… Show more

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Cited by 35 publications
(14 citation statements)
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References 29 publications
(57 reference statements)
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“…We quantize the generated chaotic self-pulsations with the same method as that in [28] and [34], which is implemented using a DFB laser functioning as an AOFF. Through injecting a CW light into such a laser diode, a bistability phenomenon can appear due to the spatial hole burning effect, which is the base of AOFF operation.…”
Section: B All-optical Quantization For Random Number Generationmentioning
confidence: 99%
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“…We quantize the generated chaotic self-pulsations with the same method as that in [28] and [34], which is implemented using a DFB laser functioning as an AOFF. Through injecting a CW light into such a laser diode, a bistability phenomenon can appear due to the spatial hole burning effect, which is the base of AOFF operation.…”
Section: B All-optical Quantization For Random Number Generationmentioning
confidence: 99%
“…1. Herein, it must be pointed out that only when the injected pulse power is higher above a certain threshold determined by the hysteresis curve width (expressed as ΔP = P th2 − P th1 in [28] and [34]), the switch between the two output states happens. In addition, it should be noted that this kind of AOFF is proposed and demonstrated from both experiment and simulation by Huybrechts et al [40]- [42].…”
Section: B All-optical Quantization For Random Number Generationmentioning
confidence: 99%
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