Optical Computing: Past and Future

Athale, Ravindra A.; Psaltis, Demetri

doi:10.1364/opn.27.6.000032

Cited by 67 publications

(40 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optical wavelengths are 100 × larger than commercial IC processes in each dimension (1500 nm vs. 14 nm), so optics requires 10,000 × more area for an equivalent device [10]; this difference grows by another 50 : 1 in each dimension considering the 200 fm size of a single atom ( Figure 3) [11]. As a result, each nanoscale optical device occupies the space of up to 25 million transistors.…”

Section: The Need For a New Approachmentioning

confidence: 99%

Digital optical processing of optical communications: towards an Optical Turing Machine

et al. 2017

View full text Add to dashboard Cite

Abstract:Optical computing is needed to support Tb/s innetwork processing in a way that unifies communication and computation using a single data representation that supports in-transit network packet processing, security, and big data filtering. Support for optical computation of this sort requires leveraging the native properties of optical wave mixing to enable computation and switching for programmability. As a consequence, data must be encoded digitally as phase (M-PSK), semantics-preserving regeneration is the key to high-order computation, and data processing at Tb/s rates requires mixing. Experiments have demonstrated viable approaches to phase squeezing and power restoration. This work led our team to develop the first serial, optical Internet hop-count decrement, and to design and simulate optical circuits for calculating the Internet checksum and multiplexing Internet packets. The current exploration focuses on limited-lookback computational models to reduce the need for permanent storage and hybrid nanophotonic circuits that combine phasealigned comb sources, non-linear mixing, and switching on the same substrate to avoid the macroscopic effects that hamper benchtop prototypes.

show abstract

Section: The Need For a New Approachmentioning

confidence: 99%

Digital optical processing of optical communications: towards an Optical Turing Machine

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Optical computing has been an active field of research for over 60 years with impressive achievements in analog/digital and classic/quantum information processing that leverage various computational approaches including Turing machines, brain-inspired neuromorphic architectures, and metaphoric systems. Optical computing as a serious rival has experienced ups and downs in different time periods [5][6][7]. This stems from the indisputable superiority of optical technology in some important aspects including inherent parallel processing, low cross talk, passive components with zero static energy consumption, and high space and time bandwidth products that potentially alleviate the inherent shortcomings of digital electronics, namely speed, heat generation, and power hungriness [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Meta-optics for spatial optical analog computing

2020

View full text Add to dashboard Cite

Rapidly growing demands for high-performance computing, powerful data processing, and big data necessitate the advent of novel optical devices to perform demanding computing processes effectively. Due to its unprecedented growth in the past two decades, the field of meta-optics offers a viable solution for spatially, spectrally, and/or even temporally sculpting amplitude, phase, polarization, and/or dispersion of optical wavefronts. In this review, we discuss state-of-the-art developments, as well as emerging trends, in computational metastructures as disruptive platforms for spatial optical analog computation. Two fundamental approaches based on general concepts of spatial Fourier transformation and Green’s function (GF) are discussed in detail. Moreover, numerical investigations and experimental demonstrations of computational optical surfaces and metastructures for solving a diverse set of mathematical problems (e.g., integrodifferentiation and convolution equations) necessary for on-demand information processing (e.g., edge detection) are reviewed. Finally, we explore the current challenges and the potential resolutions in computational meta-optics followed by our perspective on future research directions and possible developments in this promising area.

show abstract

“…In its original form, Fourier transforms of coherent light distributions were performed using lenses, enabling extremely fast and highly parallel data processing such as correlations for object recognition. There has been renewed interest in all-optical methods to process signals in communication networks [2,3] with the idea of using optical processing elements to enable "software-defined networks" [4,5] necessary to simplify network reconfigurability. As data in optical communications can be encoded using amplitude, phase, intensity, wavelength, and polarization, direct serial operations between light signals can eliminate the complex opticselectronics-optics conversion, thereby maintaining the encoding during processing.…”

Section: Introductionmentioning

confidence: 99%

Plasmonic circuits for manipulating optical information

2016

View full text Add to dashboard Cite

Surface plasmons excited by light in metal structures provide a means for manipulating optical energy at the nanoscale. Plasmons are associated with the collective oscillations of conduction electrons in metals and play a role intermediate between photonics and electronics. As such, plasmonic devices have been created that mimic photonic waveguides as well as electrical circuits operating at optical frequencies. We review the plasmon technologies and circuits proposed, modeled, and demonstrated over the past decade that have potential applications in optical computing and optical information processing.

show abstract

Optical Computing: Past and Future

Cited by 67 publications

References 0 publications

Digital optical processing of optical communications: towards an Optical Turing Machine

Digital optical processing of optical communications: towards an Optical Turing Machine

Meta-optics for spatial optical analog computing

Plasmonic circuits for manipulating optical information

Contact Info

Product

Resources

About