We review GaAs Fabry-Perot vertical cavity electro-optical devices constructed at Lockheed Martin Sanders, with particular attention to spatial light modulators and discuss a number of their applications. Our manufact...
详细信息
ISBN:
(纸本)081942921X
We review GaAs Fabry-Perot vertical cavity electro-optical devices constructed at Lockheed Martin Sanders, with particular attention to spatial light modulators and discuss a number of their applications. Our manufacturing processes enable the construction of large format, highly-uniform optical modulator and smart pixel arrays integrated with silicon CMOS VLSI circuitry. These devices can be used for a wide variety of applications including: optical computing for target recognition and signal processing, optical data routing, optical interconnect systems, and optical memory storage and access.
Simon showed a problem that can be solved in polynomial time on a quantum Turing machine but cannot be solved in polynomial time on any probabilistic Turing machine. However, his quantum algorithm is evaluated in expe...
详细信息
A new self-calibration principle for phase shift interferometry (PSI) is introduced, involving a whole-field consideration of the information contained by the interferograms. The principle is illustrated for the three...
详细信息
ISBN:
(纸本)0819428574
A new self-calibration principle for phase shift interferometry (PSI) is introduced, involving a whole-field consideration of the information contained by the interferograms. The principle is illustrated for the three-sample case, which was previously known as not having a self-calibration capability. Three related self-calibrating algorithms for phase shift interferometry are proposed, all of them based on this principle. The input of the algorithms is the set of three interferograms, and the output consists in both the correct phase shifts and the phase map of the wavefront being analyzed. No information on the actual phase shifts has to be supplied.
This paper describes novel multiple quantum well optical modulators in which the optical modulation is achieved by field dependent birefringence in strained MQW layers. The modulator operates under normal incidence. I...
详细信息
ISBN:
(纸本)0819425818
This paper describes novel multiple quantum well optical modulators in which the optical modulation is achieved by field dependent birefringence in strained MQW layers. The modulator operates under normal incidence. In our study, field dependent birefringence is obtained by straining the MQW layers using Surface Acoustic Waves (SAW). Computations of refractive index change, absorption coefficient and contrast ratio are presented. The devices are being fabricated using lattice matched InGaAsP(1.55 mu m well)/InGaAsP(1.3 mu m barrier) layers on InP substrates. The polarization-sensitive Birefringent Spatial Light Modulators (BSLMs) are different from conventional multiple quantum well SLMs and self electro-optical devices (SEEDs) which generally utilize electro-absorption.
quantuminformation and computation are new concepts for communication, informationprocessing, and physics. In theory, quantum computers factor integers in polynomial time (exponentially faster than the best known cl...
quantuminformation and computation are new concepts for communication, informationprocessing, and physics. In theory, quantum computers factor integers in polynomial time (exponentially faster than the best known classical computers), quantum cryptography achieves fundamentally secure key exchange, and quantum error correction reverses the effects of decoherence. Unfortunately, these amazing ideas have been difficult to realize experimentally. This thesis research represents an effort to move from theory towards practice, through the development of practical implementation concepts for quantum computers, inexpensive quantum codes, and novel applications. The bulk of this thesis is a study of the major problem afflicting quantum computation: decoherence. Using methods from quantum optics and linear operator theory together with electrical circuit concepts and coding theory, an extensive theoretical model is developed which is then used to explore the necessary and sufficient experimental requirements, to identify means for systematically correcting the inevitable experimental errors, and to evaluate the realistic performance of quantuminformationprocessingalgorithms. The major results are: (1) a scheme for realizing a complete quantum computer using traditional optical components, (2) a class of techniques for regenerating partially lost quantum bits, and (3) an experimental prescription for performing quantum system identification. Fundamental concepts of this field are reviewed, and summaries of the state of the art are presented. This study brings ideas from quantuminformation and computation closer to an experimental reality.
A new N-channel (or multichannel) deconvolution method of 1D and 2D NMR spectra is presented based on the Maximum Entropy method. In the general case of spectra exhibiting several lines of various fine structures, the...
详细信息
A new N-channel (or multichannel) deconvolution method of 1D and 2D NMR spectra is presented based on the Maximum Entropy method. In the general case of spectra exhibiting several lines of various fine structures, the method allows simultaneous deconvolution of all lines. While deconvolution is performed, determination of the values of the coupling constants is possible. Reconstruction of ''decoupled'' 1D and 2D spectra is also performed in a fully automated approach. The efficiency of the method is illustrated on experimental 1D and 2D spectra. The method has been developed in the GIFA software, a complete package for processing of NMR data available from the authors.
CP-PACS (Computational Physics by Parallel Array Computer System) is a massively parallel processor with 2048 processing units, built at the Center for Computational Physics, University of Tsukuba, Japan. The node pro...
详细信息
CP-PACS (Computational Physics by Parallel Array Computer System) is a massively parallel processor with 2048 processing units, built at the Center for Computational Physics, University of Tsukuba, Japan. The node processor of CP-PACS is a RISC microprocessor enhanced by pseudo vector processing, which can realize high performance vector processing. The interconnection network is the 3 dimensional Hyper-Crossbar Network, which has high flexibility and embeddability for various network topologies and communication patterns. The theoretical peak performance of the whole system is 614.4 GFLOPS. We present an overview of the CP-PACS architecture and several special architectural characteristics of it. A performance evaluation on the parallel LINPACK benchmark is also shown.
作者:
Rohrbaugh, RUSN
CTR SURFACE WARFAREADV SIGNAL PROC BRANCHBREMERTONWA 98314
Time-frequency methods are applied for bearing analysis of a motor-generator. We show that these methods reveal features that are not seen by traditional methods, such as the power spectrum. These features may be used...
详细信息
ISBN:
(纸本)0819422347
Time-frequency methods are applied for bearing analysis of a motor-generator. We show that these methods reveal features that are not seen by traditional methods, such as the power spectrum. These features may be used for detection of specific faults and as supplemental information to assess the condition of the machine.
In this paper, recent neural network applications, epecially to the fields related with the computational mechanics, were surveyed. The most outstanding characteristics of the neural network aided computation is that ...
In this paper, recent neural network applications, epecially to the fields related with the computational mechanics, were surveyed. The most outstanding characteristics of the neural network aided computation is that neither complicated programmings nor rigid algorithms are needed. Another important point is that the neural network's inherent parallelism, that is, concurrent signal transmissions over numerous informationprocessing elements suits the massively parallel computer arc hitectures. First, we briefly review the neural network applications to the computational mechanics fields from recent publications, and describe the mathematical basis of the neural net work. Next, the following topics are detailed: quantitative nondestructive evaluation, structural identification, modeling of viscoplastic material behaviors, crack growth analysis of welded specimens, structural design, parameter estimation for nonlinear finite element analyses, and equation solver.
The design and demonstration of a quantum optical genetic algorithms computer is described. We show that by avoiding the tedious computations of conventional genetic algorithms, time and energy could be saved. The rol...
详细信息
ISBN:
(纸本)0819419249
The design and demonstration of a quantum optical genetic algorithms computer is described. We show that by avoiding the tedious computations of conventional genetic algorithms, time and energy could be saved. The role of quantum indeterminacy as a major component of the operation of this porcessor is emphasized.
暂无评论