Search for dissertations about: "coherent state representation"
Found 5 swedish dissertations containing the words coherent state representation.
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1. Majorana Representation in Quantum Optics : SU(2) Interferometry and Uncertainty Relations
Abstract : The algebra of SU(2) is ubiquitous in physics, applicable both to the atomic spin states and the polarisation states of light. The method developed by Majorana and Schwinger to represent pure, symmetric spin-states of arbitrary value as a product of spin-1/2 states is a powerful tool that allows for a great conceptual and practical simplification. READ MORE
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2. Quantum Dynamics of Molecular Systems and Guided Matter Waves
Abstract : Quantum dynamics is the study of time-dependent phenomena in fundamental processes of atomic and molecular systems. This thesis focuses on systems where nature reveals its quantum aspect; e.g. in vibrational resonance structures, in wave packet revivals and in matter wave interferometry. READ MORE
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3. Coherent Multidimensional Spectroscopy: Development of Efficient Data Acquisition and Analyses of Quantum Dot 2D Spectra
Abstract : Coherent multidimensional spectroscopy (CMDS) is the most complete nonlinear optical technique based on the interaction of multiple short laser pulses with matter. It has grown to play a significant role in studies of optoelectronic materials and pigment protein complexes. READ MORE
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4. On the Properties of Some Strongly Correlated Systems - Analytical and Numerical Studies
Abstract : This thesis is dedicated to analytical and numerical studiesof a few models of strongly correlated systems and thedevelopment of techniques for such studies. The common name"strongly correlated" refers to systems in which theinteractions (correlations) between the constituent particleslead to nontrivial properties, such as various types ofmagnetism, superconductivity, and exotic phases. READ MORE
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5. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions
Abstract : Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. READ MORE