scholarly journals Optical Computing: An Introduction

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Tolulope J. Ashaolu ◽  
Abayomi Ajayi-Majebi ◽  
Sarhan M. Musa

Optical computing is the use of optical systems to perform numerical computations or process information. It is the science of making computing work better using optics and related technologies. Optical computers are computers of the future that use of light particles called photons. They come as a solution of miniaturizing problem. They are the most feasible devices that can replace electronic computers with impressive speeds. This paper provides a brief introduction to optical computing.

MRS Bulletin ◽  
1994 ◽  
Vol 19 (3) ◽  
pp. 50-55 ◽  
Author(s):  
D.R. Selviah

“Optical computing” is a term which has been used to describe many types of optical systems. This article concentrates on one optical computer design which appears to be particularly promising and competitive with digital electronic systems and which can use photorefractive (PR) crystals. We begin by discussing the motivation for constructing optical and optoelectronic computing systems and go on to describe two approaches to constructing optical computers. The first does not use PR crystals as yet but serves to indicate other approaches. The second approach involves the operation of one type of optical neural network. We discuss in detail the recording of holographic memories in a PR crystal for inclusion in the optical neural network described here.


1946 ◽  
Vol 24a (4) ◽  
pp. 15-40 ◽  
Author(s):  
L. E. Howlett

The nature of photographic resolving power is discussed and attention called to the widespread misconception of it that exists at the present time. Most of the detailed discussion applies specifically to photographic objectives intended for use in aerial photography but the general approach to their photographic resolving power is applicable to studies of the photographic performance of all types of optical systems. An annulus type of target is proposed as more suitable than line targets. A method is given for the selection of the photographic focal plane when the essential requirement of the photographic use is the acquisition of maximum information. General remarks are made on the proper trend to be followed in the future design of photographic objectives. Results are presented on a study of a number of well known types of photographic objectives used for aerial photography.


Author(s):  
Henri H. Arsenault ◽  
Yunlong Sheng
Keyword(s):  

1971 ◽  
Vol 11 ◽  
pp. 24-32
Author(s):  
S. Laustsen ◽  
B. Malm

The art of computing was early recognized by astronomers as being the link between observation and theory. Computing became more and more important with the appearance of electronic computers.Today we can regard the application of electronic computers in three different aspects.1.Theoretical investigations.2.Data handling, that means collecting of astronomical observations and reduction to observational results.3.Control of telescopes and other astronomical instruments.The present paper deals with item No. 3 only. It should, however, be emphasized that the combination of items 2 and 3 will lead to fully automatic astronomical observation in the future.


1962 ◽  
Vol 28 ◽  
pp. 231-307 ◽  
Author(s):  
T. M. Springbett

SynopsisThe paper is largely concerned with discussing what is a suitable valuation basis for deciding the rate of bonus an office should declare if it wishes to maintain this rate of bonus in the future as long as conditions remain reasonably stable.Because of recent developments, such as the substantial proportion of the assets now held in ordinary shares, the reverse yield gap, the present historically high rate of interest and the growth of immediate annuity and other single premium business, a net premium valuation in conjunction with assets at balance sheet values gives an inadequate view of the position of an office. With the advent of electronic computers a more realistic and comprehensive view is now possible, and the paper advocates a valuation of the liabilities on a modified bonus reserve basis with rates of interest and bonus the same as those implicit in the current premium rates, and a valuation of the assets at a notional rate of interest equal to the rate used in the valuation of the liabilities. The various problems arising in the valuation of assets, and especially of ordinary shares, at a notional rate of interest are discussed, and also the adjustments necessary if the assets and liabilities are not fully matched.The final decision on the rate of bonus to be declared must in the end be a matter of judgment, as it depends on many factors which cannot be accurately forecast, such as the future course of the rate of interest, the amount of new business and the rates of premium charged. Nevertheless, it is now possible to make this decision in the light of a very much fuller analysis of the position than has probably been made in the past.


Author(s):  
Clare E. Elwell ◽  
Chris E. Cooper

In 1996, the Royal Society held a Discussion Meeting entitled ‘Near-infrared spectroscopy and imaging of living systems’. In 2010, this topic was revisited in a Theo Murphy Royal Society Scientific Discussion Meeting entitled ‘Making light work: illuminating the future of biomedical optics’. The second meeting provided the opportunity for leading researchers to reflect on how the technology, methods and applications have evolved over the past 14 years and assess where they have made a major impact. Particular emphasis was placed on discussions of future prospects and associated challenges. This Introduction provides an overview of the state of the art of near-infrared spectroscopy (NIRS) and biomedical optics, with specific reference to the contributed papers from the invited speakers included in this issue. Importantly, we also reflect on the contributions from all of the attendees by highlighting the issues raised during oral presentations, facilitated panel sessions and discussions, and use these to summarize the current opinion on the development and application of optical systems for use in the clinical and life sciences. A notable outcome from the meeting was a plan to establish a biennial international conference for developers and users of NIRS technologies.


2013 ◽  
Vol 333-335 ◽  
pp. 2218-2221 ◽  
Author(s):  
Feng Xin Chen

In this paper, we use some examples to discuss the necessity of using computer software to convert mathematical theory into numerical computations, which can combine classical theory with modern computing and make the abstract concept visualized, then give the future engineer a good foundation for further studies in mathematics as well as other subjects.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Wang Dandan ◽  
Wu Yufei ◽  
Zhu Yanwei

Language talent education is an essential education in education, but today’s language talent education needs to be improved because of the influence of teaching methods and other factors. This paper puts forward an idea of sensor-assisted education. The sensor is connected to the computer to help improve the language ability and information acquisition ability of the educated by means of network sensing and try to intelligently classify the relevant languages in language education, so as to reduce the time for the educated to process information, so as to realize the matching between language and reception. At the same time, the research also found that the sensors based on computers and networks have the function of intelligently strengthening the language, and the meaning of expression is simpler and more accurate. By studying the improvement of the effect of language education based on computer and network sensors, this paper provides a reference for the application of network sensors in the future.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Yi Luo ◽  
Deniz Mengu ◽  
Nezih T. Yardimci ◽  
Yair Rivenson ◽  
Muhammed Veli ◽  
...  

AbstractDeep learning has been transformative in many fields, motivating the emergence of various optical computing architectures. Diffractive optical network is a recently introduced optical computing framework that merges wave optics with deep-learning methods to design optical neural networks. Diffraction-based all-optical object recognition systems, designed through this framework and fabricated by 3D printing, have been reported to recognize hand-written digits and fashion products, demonstrating all-optical inference and generalization to sub-classes of data. These previous diffractive approaches employed monochromatic coherent light as the illumination source. Here, we report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths generated by a temporally incoherent broadband source to all-optically perform a specific task learned using deep learning. We experimentally validated the success of this broadband diffractive neural network architecture by designing, fabricating and testing seven different multi-layer, diffractive optical systems that transform the optical wavefront generated by a broadband THz pulse to realize (1) a series of tuneable, single-passband and dual-passband spectral filters and (2) spatially controlled wavelength de-multiplexing. Merging the native or engineered dispersion of various material systems with a deep-learning-based design strategy, broadband diffractive neural networks help us engineer the light–matter interaction in 3D, diverging from intuitive and analytical design methods to create task-specific optical components that can all-optically perform deterministic tasks or statistical inference for optical machine learning.


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