All-optical 1st and 2nd order integration on a chip

Ferrera, Marcello; Park, Yongwoo; Razzari, Luca; Little, Brent E.; Chu, Sai T.; Morandotti, Roberto; Moss, David; Azaña, José

doi:10.1364/oe.19.023153

Cited by 97 publications

(52 citation statements)

References 26 publications

(30 reference statements)

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“…CMOS-compatible silicon-based FWM devices have been demonstrated using silicon, silicon nitride, and high-index silica glass waveguides and, over the past few years, there have been numerous signal processing applications utilizing chip-scale FWM, including signal regeneration [7], an ultrafast oscilloscope [8], and a radiofrequency spectrum analyzer [9]. Further developments in 2011 include real-time dispersion monitoring for high-speed differential phase-shift keying signals [10], spectral phase interferometry for direct electric-field reconstruction (SPIDER) [11], and time integration of optical signals [12]. For further development of these FWM-based devices, higher efficiencies and larger operating bandwidths are critical.…”

Section: Parametric Amplification and Wavelength Conversionmentioning

confidence: 99%

Breakthroughs in Nonlinear Silicon Photonics 2011

2012

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Section: Parametric Amplification and Wavelength Conversionmentioning

confidence: 99%

Breakthroughs in Nonlinear Silicon Photonics 2011

2012

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“…[1][2][3][4][5][6] As one of the basic building blocks in optical signal processing and computing systems, 7 differentiators are a key requirement in analyzing high-speed signals as well as in waveform shaping, pulse generation, and systems control. [8][9][10] To implement photonic differentiators, a number of schemes have been proposed, which can be classified into two categories, namely, field differentiators and intensity differentiators.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable broadband microwave photonic intensity differentiator based on an integrated optical frequency comb source

et al. 2017

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We propose and experimentally demonstrate a microwave photonic intensity differentiator based on a Kerr optical comb generated by a compact integrated micro-ring resonator (MRR). The on-chip Kerr optical comb, containing a large number of comb lines, serves as a high-performance multi-wavelength source for implementing a transversal filter, which will greatly reduce the cost, size, and complexity of the system. Moreover, owing to the compactness of the integrated MRR, frequency spacings of up to 200-GHz can be achieved, enabling a potential operation bandwidth of over 100 GHz. By programming and shaping individual comb lines according to calculated tap weights, a reconfigurable intensity differentiator with variable differentiation orders can be realized. The operation principle is theoretically analyzed, and experimental demonstrations of the first-, second-, and third-order differentiation functions based on this principle are presented. The radio frequency amplitude and phase responses of multi-order intensity differentiations are characterized, and system demonstrations of real-time differentiations for a Gaussian input signal are also performed. The experimental results show good agreement with theory, confirming the effectiveness of our approach.

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“…These functions are basically the building blocks of a general-purpose signal processor performing signal generation and fast computing. Fast computing processes, such as temporal integration, temporal differentiation, and convolution facilitate important applications [20,21,22,23,24,25,26,27,28,29,30,31]. For example, a photonic integrator, as a device that able to perform time integral of an optical signal, has a key role in dark soliton generation [21], optical memory [22], and optical analogdigital conversion [23].…”

Section: Introductionmentioning

confidence: 99%

Temporal analog optical computing using an on-chip fully reconfigurable photonic signal processor

Babashah

Kavehvash

Khavasi

et al. 2019

Optics & Laser Technology

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This paper introduces the concept of on-chip temporal optical computing, based on dispersive Fourier transform and suitably designed modulation module, to perform mathematical operations of interest, such as differentiation, integration, or convolution in time domain. The desired mathematical operation is performed as signal propagates through a fully reconfigurable on-chip photonic signal processor. Although a few number of photonic temporal signal processors have been introduced recently, they are usually bulky or they suffer from limited reconfigurability which is of great importance to implement large-scale general-purpose photonic signal processors. To address these limitations, this paper demonstrates a fully reconfigurable photonic integrated signal processing system. As the key point, the reconfigurability is achieved by taking advantages of dispersive Fourier transformation, linearly chirp modulation using four wave mixing, and applying the desired arbitrary transfer function through a cascaded Mach-Zehnder modulator and phase modulator. Our demonstration reveals an operation time of 200 ps with high resolution of 300 f s. To have an on-chip photonic signal processor, a broadband photonic crystal waveguide with an extremely large group-velocity dispersion of 2.81 × 10 6 ps 2 km is utilized. Numerical simulations of the proposed structure reveal a great potential for chip-scale fully reconfigurable all-optical signal processing through a bandwidth of 400 GHz.

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All-optical 1st and 2nd order integration on a chip

Cited by 97 publications

References 26 publications

Breakthroughs in Nonlinear Silicon Photonics 2011

Breakthroughs in Nonlinear Silicon Photonics 2011

Reconfigurable broadband microwave photonic intensity differentiator based on an integrated optical frequency comb source

Temporal analog optical computing using an on-chip fully reconfigurable photonic signal processor

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