Principles of parametric temporal imaging. II. System performance

Bennett, C.V.; Kolner, B.H.

doi:10.1109/3.845718

Cited by 63 publications

(39 citation statements)

References 26 publications

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“…We see that the main limiting factor for the field of view is the group velocity dispersion in the nonlinear crystal. We note also that the definition of the FOV in quantum temporal imaging is different of that for its classical counterpart [13]. The classical FOV is defined as a time range in the input waveform, where pixels are degraded by the imaging system less than two times.…”

Section: Quantum Field Of Viewmentioning

confidence: 99%

“…In this section we consider a time lens based on the SFG process in a χ (2) nonlinear medium [12,13], where a strong classical pump wave with the carrier frequency ω p converts a signal wave with the carrier frequency ω s into an idler wave with the carrier frequency ω i = ω s + ω p . The pump is assumed to be undepleted and its complex slowly-varying amplitude is written as a p (t) = A p (t) exp[iφ p (t)], where A p (t) and φ p (t) are real functions of time, being the modulus and the phase of the pump wave respectively.…”

Section: Field Transformationmentioning

confidence: 99%

“…As has been mentioned in the Introduction, a temporal imaging system is aimed at stretching (or compressing) an optical waveform. We define this waveform, which we call also "object field", as temporal variation of light between the times t 0 and t 0 + T F , where t 0 is some starting time and T F is the temporal duration of the range to be imaged, the field of view (FOV) [12,13]. The temporal imaging system includes as a key element an SFG time lens, characterized by the focal GDD D f and the aperture T .…”

Section: General Description Of the Temporal Imaging Systemmentioning

confidence: 99%

“…The key element of a temporal imaging system is time lens, introducing a quadratic in time phase modulation into the signal field. Optical time lenses presently are based on electro-optical phase modulation [4,5,6,7,8], sum-frequency generation (SFG) [9,10,11,12,13,14,15], or four-wave mixing [16,17,18,19] and provide a temporal magnification up to 100 times.…”

Section: Introductionmentioning

confidence: 99%

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Quantum temporal imaging: application of a time lens to quantum optics

Patera

Shi

Horoshko

et al. 2017

J. Opt.

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We consider application of a temporal imaging system, based on the sum-frequency generation, to a nonclassical, in particular, squeezed optical temporal waveform. We analyze the restrictions on the pump and the phase matching condition in the summing crystal, necessary for preserving the quantum features of the initial waveform. We show that modification of the notion of the field of view in the quantum case is necessary, and that the quantum field of view is much narrower than the classical one for the same temporal imaging system. These results are important for temporal stretching and compressing of squeezed fields, used in quantum-enhanced metrology and quantum communications.

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Section: Quantum Field Of Viewmentioning

confidence: 99%

Section: Field Transformationmentioning

confidence: 99%

Section: General Description Of the Temporal Imaging Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantum temporal imaging: application of a time lens to quantum optics

Patera

Shi

Horoshko

et al. 2017

J. Opt.

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“…A spatial lens imparts a quadratic phase in space and a time-lens produces a quadratic phase shift in time [8][9][10][11]. Time-lenses can compress [12] temporal signal by using mixing of a CW signal with a chirped pump wave which after propagating through a dispersive element creates an impulse.…”

Section: Introductionmentioning

confidence: 99%

Observations in Respect of Real Time Temporal Cloaking/Uncloaking at Microwave Frequencies

Zhou¹,

Fusco²,

Wang³

et al. 2016

PIER C

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Abstract-Based on space-time duality and through the use of temporal dispersive delay lines, this paper presents a demonstration of temporal cloaking/uncloaking at microwave frequencies. Numerical simulations of pulse generation, continuous wave signal recovery and data recovery are discussed in relation to the proposed system architecture. This paper also suggests a practical means for implementation of real time dual temporal cloaking/uncloaking. Compared to traditional signal processing systems, since the recovered data emerges with a reversed form in time domain before its final decoding, an extra operation named time-reversal is needed to obtain the correct data, which could help protect the significant signals better with the proposed temporal cloaking/uncloaking system. The proposed method and achieved results indicate potential application in secure communications and data multiplexing subject to channel bandwidth requirements.

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