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Relevant bibliographies by topics / Optical computing

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Academic literature on the topic 'Optical computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Optical computing"

1

ICHIOKA, YOSHIKI. "Optical computing." Review of Laser Engineering 21, no. 1 (1993): 181–83. http://dx.doi.org/10.2184/lsj.21.181.

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Ansari, N. I., M. S. Athreya, and S. V. R. Gutta. "Optical computing." IEEE Potentials 11, no. 4 (1992): 33–36. http://dx.doi.org/10.1109/45.207144.

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Touch, Joe, Abdel-Hameed Badawy, and Volker J. Sorger. "Optical computing." Nanophotonics 6, no. 3 (2017): 503–5. http://dx.doi.org/10.1515/nanoph-2016-0185.

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Feitelson, D. G., and David Casasent. "Optical Computing." Computers in Physics 3, no. 4 (1989): 102. http://dx.doi.org/10.1063/1.4822851.

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Abdeldayem, Hossin, and Donald O. Frazier. "Optical computing." Communications of the ACM 50, no. 9 (2007): 60–62. http://dx.doi.org/10.1145/1284621.1284649.

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Davis, W. S. "Optical computing." Optics and Lasers in Engineering 24, no. 1 (1996): 77. http://dx.doi.org/10.1016/s0143-8166(96)93030-4.

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Blow, K. "Optical Computing." Journal of Modern Optics 37, no. 7 (1990): 1278–79. http://dx.doi.org/10.1080/09500349014551381.

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Goswami, Debabrata. "Optical computing." Resonance 8, no. 6 (2003): 56–71. http://dx.doi.org/10.1007/bf02837869.

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Woods, Damien, and Thomas J. Naughton. "Optical computing." Applied Mathematics and Computation 215, no. 4 (2009): 1417–30. http://dx.doi.org/10.1016/j.amc.2009.04.061.

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Goswami, Debabrata. "Optical computing." Resonance 8, no. 7 (2003): 8–21. http://dx.doi.org/10.1007/bf02834399.

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Dissertations / Theses on the topic "Optical computing"

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Craft, Nicholas C. "Digital optical computing." Thesis, Heriot-Watt University, 1989. http://hdl.handle.net/10399/938.

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Johnsen, Sverre Gullikstad. "Towards optical quantum computing." Thesis, Norwegian University of Science and Technology, Department of Physics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2256.

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Snowdon, John Fraser. "Optical computing : architectures and tolerancing." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/859.

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TICKNOR, ANTHONY JAMES. "OPTICAL COMPUTING IN BOLTZMANN MACHINES." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184169.

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This dissertation covers theoretical and experimental work on applying optical processing techniques ot the operation of a Boltzmann machine. A Boltzmann machine is a processor that solves a problem by iteratively optimizing an estimate of the solution. The optimization is done by finding a minimum of an energy surface over the solution space. The energy function is designed to consider not only data but also a priori information about the problem to assist the optimization. The dissertation first establishes a generic line-of-approach for designing an algorithmic optical computer that might s

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Weddell, Stephen John. "Optical Wavefront Prediction with Reservoir Computing." Thesis, University of Canterbury. Electrical and Computer Engineering, 2010. http://hdl.handle.net/10092/4070.

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Over the last four decades there has been considerable research in the improvement of imaging exo-atmospheric objects through air turbulence from ground-based instruments. Whilst such research was initially motivated for military purposes, the benefits to the astronomical community have been significant. A key topic in this research is isoplanatism. The isoplanatic angle is an angular limit that separates two point-source objects, where if independent measurements of wavefront perturbations were obtained from each source, the wavefront distortion would be considered equivalent. In classical a

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Zuehlsdorff, Tim Joachim. "Computing optical properties of large systems." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/29208.

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In recent years, time-dependent density-functional theory (TDDFT) has been the method of choice for calculating optical excitations in medium sized to large systems, due to its good balance between computational cost and achievable accuracy. In this thesis, TDDFT is reformulated to fit the framework of the linear-scaling density-functional theory (DFT) code ONETEP. The implementation relies on representing the optical response of the system using two sets of localised, atom centered, in situ optimised orbitals in order to ideally describe both the electron and the hole wavefunctions of the exc

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Gimeno-Segovia, Mercedes. "Towards practical linear optical quantum computing." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/43936.

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Quantum computing promises a new paradigm of computation where information is processed in a way that has no classical analogue. There are a number of physical platforms conducive to quantum computation, each with a number of advantages and challenges. Single photons, manipulated using integrated linear optics, constitute a promising platform for universal quantum computation. Their low decoherence rates make them particularly favourable, however the inability to perform deterministic two-qubit gates and the issue of photon loss are challenges that need to be overcome. In this thesis we explor

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Xu, Genyu Psaltis Demetri Psaltis Demetri. "Optical neural computing for associative memories /." Diss., Pasadena, Calif. : California Institute of Technology, 1990. http://resolver.caltech.edu/CaltechETD:etd-05042007-142242.

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McArdle, Neil. "Digital optical information processors : system optimisation and dynamic optical interconnections." Thesis, Heriot-Watt University, 1995. http://hdl.handle.net/10399/1321.

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Gigioli, George William Jr. "Optimization and tolerancing of nonlinear Fabry Perot etalons for optical computing systems." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184537.

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Since the discovery of optical bistability a considerable amount of research activity has been aimed toward the realization of general-purpose all-optical computers. The basic premise for most of this work is the widely held notion that a reliable optical switch can be fabricated from a piece of optically bistable material. To date only a very small number of published articles have addressed the subject of the engineering issues (that is, the optimization and tolerancing) of these optical switches. This dissertation is a systematic treatment of these issues. From the starting point of Maxwell

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Books on the topic "Optical computing"

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1953-, Jahns Jurgen, and Lee S. H. 1939-, eds. Optical computing hardware. Academic Press, 1994.

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America, Optical Society of, International Commission for Optics, and Society of Photo-optical Instrumentation Engineers., eds. Optics in computing. Optical Society of America, 2001.

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S, Ishihara, ed. Optical computing in Japan. Nova Science Publishers, 1990.

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Karim, Mohammad A. Optical computing: An introduction. Wiley, 1992.

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Advisory Group for Aerospace Research and Development. Sensor and Propagation Panel. and Advisory Group for Aerospace Research and Development. Consultant and Exchange Programme., eds. Optical processing and computing. Agard, 1995.

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North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Optical processing and computing. AGARD, 1995.

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Miller, Richard Kendall. Survey on optical computing. Future Technology Surveys, 1989.

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H, Arsenault Henri, Szoplik Tomasz, and Macukow Bohdan, eds. Optical processing and computing. Academic Press, 1989.

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9

Martellucci, S. Nonlinear Optics and Optical Computing. Springer US, 1990.

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Li, Xiujian, Zhengzheng Shao, Mengjun Zhu, and Junbo Yang. Fundamentals of Optical Computing Technology. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3849-5.

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Book chapters on the topic "Optical computing"

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Yatagai, Toyohiko. "Optical Computing." In Fourier Theory in Optics and Optical Information Processing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003121916-8.

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Naughton, Thomas J., and Damien Woods. "Optical Computing." In Encyclopedia of Complexity and Systems Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27737-5_377-3.

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Naughton, Thomas J., and Damien Woods. "Optical Computing." In Computational Complexity. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_135.

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Naughton, Thomas J., and Damien Woods. "Optical Computing." In Encyclopedia of Complexity and Systems Science. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_377.

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Naughton, Thomas J., and Damien Woods. "Optical Computing." In Unconventional Computing. Springer US, 2018. http://dx.doi.org/10.1007/978-1-4939-6883-1_377.

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Kazanskiy, Nikolay Lvovich, Muhammad Ali Butt, and Svetlana Nikolaevna Khonina. "Optical Computing." In Photonics Elements for Sensing and Optical Conversions. CRC Press, 2023. http://dx.doi.org/10.1201/9781003439165-8.

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Lohmann, A. W. "Principles of Optical Computing." In Nonlinear Optics and Optical Computing. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0629-0_10.

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Midwinter, J. E. "Digital Optics & Optical Computing." In Performance Limits in Communication Theory and Practice. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2794-0_19.

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Klingshirn, Claus F. "Optical Bistability, Optical Computing, Spintronics and Quantum Computing." In Semiconductor Optics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28362-8_24.

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Lohmann, A. W. "Digital Optical Computing." In Springer Series in Optical Sciences. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-540-39452-5_3.

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Conference papers on the topic "Optical computing"

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Berry, Mark H., and Debra M. Gookin. "Guided Wave Vector-Matrix Multiplier." In Optical Computing. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/optcomp.1989.tui11.

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Optical approaches to vector-matrix multiplication have been proposed for 25 years.1 However the development of a versatile, accurate implementation has been lagging. The free space architecture used by Goodman, et al.2 suffered the disadvantage of a fixed photographic matrix mask. Some of these disadvantages were eliminated through the use of acousto-optic2 or electro-optic3 devices. The accuracy of free space systems is critically dependent on the quality of large optics. Alignment, stray light, and temperature fluctuations are difficult to control. The use of fiber optics using a lattice st

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Tokumitsu, J., H. Matsuoka, and K. Iijima. "Optical Parallel Image Processing Using CCD Image Sensor." In Optical Computing. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/optcomp.1987.me10.

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Image processing is one of the most promising application fields of optical computing in which parallelism inherent in optics well matches two dimensional nature of images. Convolution is a basic operation in preprocessing images, and various kinds of methods for optically implementing it have been proposed1–3.

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Taboury, J., J. M. Wang, P. Chavel, and F. Devos. "Cellular Optical Processor Architecture with Modulable Holographic Interconnections." In Optical Computing. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/optcomp.1987.mc2.

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The recent rise in interest in optical computing has already led to considerable conceptual progress in optical processing architectures such as multiple matrix product, associative memories, digital optical computing. Since 3-D optics naturally provides a parallel environment with high connectivity, optical computing becomes an attractive field of reflexion. Nevertheless, in optical cellular logic systems using non linear elements, the practical implementation problems of gate interconnections must be solved.

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Athale, Ravindra A. "Framework for optical computing: a personal view." In OSA Annual Meeting. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.ml2.

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The use of optics in computing has taken many forms over the last 25 years, it ranges from optical data storage and fiber-optic local area networks to all-optical digital computers and optical realizations of neural net models. The first two examples represent a mature, widely accepted use of optics in computing while the latter examples represent speculative and highly controversial use of optics in computing. In between the two extremes are systems with various levels of development and acceptability, such as matched filter correlators, acoustooptic processors, and optoelectronic interconnec

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Gibbs, H. M., and N. Peyghambarian. "Nonlinear Optical Mechanisms and Devices for Optical Computing." In Optical Computing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/optcomp.1985.mc1.

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Most present day optical computing uses optics only to perform linear transforms, such as imaging and Fourier transformations. Of course, computing requires decision making by various logic operations. These are usually performed by an array of detectors and an electronic computer. Sometimes a matched filter or mask (usually permanent, i.e., not programmable) performs part of the decision making. All-optical logic gates are essential for all-optical computing, and they can be used to reduce the output data rate of special-purpose all-optical processors to a rate compatible with the electronic

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Lin, Freddie, Eva M. Strzelecki, and William Liu. "Compact Crossbar Switch For Optical Interconnects." In Optical Computing. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/optcomp.1991.me18.

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Optical crossbar switches are used in a variety of applications: in optical computing, optical communications, and optical interconnects in computers. High speed optical crossbars have been demonstrated for the use in communications such as waveguide electro-optic switches in LiNbO3 [1], semiconductor quantum well modulators [2]. For applications in optical computing it is important to have very large switching arrays to utilize the massively parallel capability of optical signal processing. This has been achieved using spatial light modulators (SLM) which are available in large arrays, such a

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Tsai, C. S., D. Y. Zang, and P. Le. "An Integrated Acoustooptic Module for Optical Computing." In Optical Computing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/optcomp.1985.pd5.

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Realization of optical signal processing and computing functions in a waveguide substrate has long been considered as one of the major applications of integrated optics. A variety of active guided-wave devices that have been developed recently are being suggested for this purpose(1-3). For example, the planar waveguide AO Bragg cells in LiNbO3(1) are now widely used in the development of integrated optic modules for spectral analysis(4) and correlation(5) of wideband RF signals. Spherical waveguide AO Bragg cells in LiNbO3 are also being explored(6). In this paper, we report on the first succe

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Miller, D. A. B., D. S. Chemla, T. C. Damen, et al. "Quantum Well Optical Modulators and Self Electro-optic Effect Devices (SEED's)." In Optical Computing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/optcomp.1985.mc6.

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We present a new family of electro-optic devices based on the unique room-temperature optical properties of GaAs Multiple Quantum Well Structures (MQWS)(1-4). We demonstrated high-speed modulators(3,5), and a set of so-called "Self Electro-optic Effect Devices" (SEED's)(6) using internal optoelectronic feedback: a mirrorless optically-bistable switch(6) with very low switching energy, a self-linearized modulator(7) and an optical level shifter(7).

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Wu, Weishu, and Pochi Yeh. "Multiwavelength Optical Computing Using Optical Wave Mixing in Photorefractive Media." In Nonlinear Optics: Materials, Fundamentals and Applications. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/nlo.1996.ntua.1.

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Digital optical computing has been proposed for many years. However, much attention has only been focused on the spatial parallelism optics offers. The broad bandwidth of optical waves and optical media has been neglected for quite a long time. In multiwavelength optical computing, the broad bandwidth of optical waves and optics is utilized to increase the throughput of optical computing by using wavelength as an additional dimension.

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Oh, Tchang-hun, and Raymond K. Kostuk. "Comparison of the Performance Characteristics of Futurebus+ with an Optical Backplane." In Optical Computing. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/optcomp.1995.omc18.

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The use of optical interconnects for backplane and bus applications in multiboard processor systems has been considered by a number of investigators.1,2 However, most of these analyses have not evaluated the impact of optics on specific bus configurations. In this presentation we evaluate the performance of optics in a Futurebus+backplane, and show that considerable reduction in data transfer delay can be obtained using existing electro-optic interface elements in an optical backplane. The significance of this result is that a substantial improvement of existing bus architectures can be achiev

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Reports on the topic "Optical computing"

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Yajima, Hiroyoshi. Optical Computing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada267881.

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Goodman, Joseph W., and Jehosua Bruck. Optical Computing Research. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202963.

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Cathey, W. T., and Rodney A. Schmidt. Optical Symbolic Computing. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada195690.

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Kupiec, S., and H. J. Caulfield. Digital Optical Computing. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada289395.

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Ololo, Anthony, and H. J. Caulfield. Digital Optical Computing. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada326000.

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Goodman, Joseph W. Optical Computing Research. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada172895.

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Caulfield, H. J. Optical Computing Strategies. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada219433.

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Cathey, Wade T., Rodney A. Schmidt, and Garret Moddel. Optical Signal Computing. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada223624.

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Caulfield, H. J. FONR Optical Computing ST. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201002.

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Levy, Saul Y., J. S. Hall, and Donald E. Smith. Architectures for Optical Computing. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada221435.

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