Search for dissertations about: "molecular computing"
Showing result 1 - 5 of 66 swedish dissertations containing the words molecular computing.
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1. Machine learning for quantum information and computing
Abstract : This compilation thesis explores the merger of machine learning, quantum information, and computing. Inspired by the successes of neural networks and gradient-based learning, the thesis explores how such ideas can be adapted to tackle complex problems that arise during the modeling and control of quantum systems, such as quantum tomography with noisy data or optimizing quantum operations, by incorporating physics-based constraints. READ MORE
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2. Nanofabricated Devices Based on Molecular Motors: Biosensing, Computation and Detection
Abstract : The thesis describes the use of molecular motors in nanofabricated devices designed for potential applications in biosensing, computation and detection. We utilize the well-established guiding principles for controlling the motion of actin filaments propelled by myosin molecular motors, and build upon these developments in order to improve upon previously demonstrated techniques, and establish new methods that, we believe, offer significant progress in these fields. READ MORE
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3. Leveraging Intermediate Representations for High-Performance Portable Discrete Fourier Transform Frameworks : with Application to Molecular Dynamics
Abstract : The Discrete Fourier Transform (DFT) and its improved formulations, the Fast Fourier Transforms (FFTs), are vital for scientists and engineers in a range of domains from signal processing to the solution of partial differential equations. A growing trend in Scientific Computing is heterogeneous computing, where accelerators are used instead or together with CPUs. READ MORE
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4. Constructing Algorithms for Constraint Satisfaction and Related Problems : Methods and Applications
Abstract : In this thesis, we will discuss the construction of algorithms for solving Constraint Satisfaction Problems (CSPs), and describe two new ways of approaching them. Both approaches are based on the idea that it is sometimes faster to solve a large number of restricted problems than a single, large, problem. READ MORE
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5. Multiscale Stochastic Simulation of Reaction-Transport Processes : Applications in Molecular Systems Biology
Abstract : Quantitative descriptions of reaction kinetics formulated at the stochastic mesoscopic level are frequently used to study various aspects of regulation and control in models of cellular control systems. For this type of systems, numerical simulation offers a variety of challenges caused by the high dimensionality of the problem and the multiscale properties often displayed by the biochemical model. READ MORE