Optics and Photonics for Information Processing XVI 2022
DOI: 10.1117/12.2633919
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High-speed secure optical hashing for transformational computing (Conference Presentation)

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Cited by 5 publications
(6 citation statements)
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“…These results hold promise that the reported algorithm is an efficient way to accomplish simultaneous phase and amplitude modulation in the Fourier domain with off-the-shelf devices capable of performing complex convolution on 2 million optical channels in parallel. Such a system is of high interest in developing optical filters, and processors, for numerous applications including optical cryptography, 12 where neglecting phase modulation can lead to impractical bit-error rates.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These results hold promise that the reported algorithm is an efficient way to accomplish simultaneous phase and amplitude modulation in the Fourier domain with off-the-shelf devices capable of performing complex convolution on 2 million optical channels in parallel. Such a system is of high interest in developing optical filters, and processors, for numerous applications including optical cryptography, 12 where neglecting phase modulation can lead to impractical bit-error rates.…”
Section: Discussionmentioning
confidence: 99%
“…Optical real-time dynamic data processing has several applications including accelerating tensor algebra, which usually creates a bottle-neck in in silico machine learning, 1-10 cryptography, [11][12][13][14][15][16][17] digital holography, [18][19][20][21][22][23][24] and more optical computing algorithms [25][26][27][28][29][30][31][32][33][34] is given their high computational overhead. Alongside that, cryptography algorithms are highly dependent on computationally hungry data compression algorithms to provide the necessary level of security and meet common network specifications, while image processing Machine Learning algorithms dependent heavily on the speed of convolution and area dot product multiplication as their major computation budget consumer.…”
Section: Introductionmentioning
confidence: 99%
“…Photonic processors are poised to have a huge impact on the future of technology due to their capacity to conduct computations at fast speeds while consuming less energy. The photonic processors are applicable to a vast array of applications, including high-performance computing, data centers, artificial intelligence, quantum computing, highspeed communication system [1]- [3], GPU accelerators [4], and photonic computing [5]- [8]. The most critical part of the research of silicon photonics is the exploration of high-speed 2D and 3D materials and corresponding applications such as light sources [9], electric-optical modulators [10]- [23], and photodetectors.…”
Section: Introductionmentioning
confidence: 99%
“…Free-space optical communication (FSOC) uses optical wavelength (from ultraviolet to infrared) to achieve data transmission through the atmosphere without the requirement of a physical communication link. [1][2][3][4][5][6][7][8][9][10][11] By leveraging the advantage of wider spectrum range in optical bands and compact spatial confinement from a laser beam, FSOC has already provided the ability to cater for high-capacity optical data transmission demand such as using wavelength division multiplexing (WDM) in the Tb/s regime. 12 Meanwhile, confined beam divergence guarantees the security of the communication link to a higher level since a third-party detector could intercept the transmitting beam only when it is placed close to the FSOC path.…”
Section: Introductionmentioning
confidence: 99%