Download or read book Large scale Simulations of Error Prone Quantum Computation Devices written by Doan Binh Trieu and published by Forschungszentrum Jülich. This book was released on 2010 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NIC Symposium 2010 written by John-von-Neumann-Institut für Computing (Jülich) and published by Forschungszentrum Jülich. This book was released on 2010 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Route Choice Modelling and Runtime Optimisation for Simulation of Building Evacuation written by Armel Ulrich Kemloh Wagoum and published by Forschungszentrum Jülich. This book was released on 2013 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Three dimensional Solute Transport Modeling in Coupled Soil and Plant Root Systems written by Natalie Schröder and published by Forschungszentrum Jülich. This book was released on 2014-03-21 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Computational Biophysics to Systems Biology CBSB11 Celebrating Harold Scheraga s 90th Birthday written by Paolo Carloni and published by Forschungszentrum Jülich. This book was released on 2012 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fast Methods for Long range Interactions in Complex Systems written by Godehard Sutmann and published by Forschungszentrum Jülich. This book was released on 2011 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book UNICORE Summit 2013 written by Valentina Huber and published by Forschungszentrum Jülich. This book was released on 2013 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automated Optimization Methods for Scientific Workflows in e Science Infrastructures written by Sonja Holl and published by Forschungszentrum Jülich. This book was released on 2014 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific workflows have emerged as a key technology that assists scientists with the design, management, execution, sharing and reuse of in silico experiments. Workflow management systems simplify the management of scientific workflows by providing graphical interfaces for their development, monitoring and analysis. Nowadays, e-Science combines such workflow management systems with large-scale data and computing resources into complex research infrastructures. For instance, e-Science allows the conveyance of best practice research in collaborations by providing workflow repositories, which facilitate the sharing and reuse of scientific workflows. However, scientists are still faced with different limitations while reusing workflows. One of the most common challenges they meet is the need to select appropriate applications and their individual execution parameters. If scientists do not want to rely on default or experience-based parameters, the best-effort option is to test different workflow set-ups using either trial and error approaches or parameter sweeps. Both methods may be inefficient or time consuming respectively, especially when tuning a large number of parameters. Therefore, scientists require an effective and efficient mechanism that automatically tests different workflow set-ups in an intelligent way and will help them to improve their scientific results. This thesis addresses the limitation described above by defining and implementing an approach for the optimization of scientific workflows. In the course of this work, scientists’ needs are investigated and requirements are formulated resulting in an appropriate optimization concept. In a following step, this concept is prototypically implemented by extending a workflow management system with an optimization framework, including general mechanisms required to conduct workflow optimization. As optimization is an ongoing research topic, different algorithms are provided by pluggable extensions (plugins) that can be loosely coupled with the framework, resulting in a generic and quickly extendable system. In this thesis, an exemplary plugin is introduced which applies a Genetic Algorithm for parameter optimization. In order to accelerate and therefore make workflow optimization feasible at all, e-Science infrastructures are utilized for the parallel execution of scientific workflows. This is empowered by additional extensions enabling the execution of applications and workflows on distributed computing resources. The actual implementation and therewith the general approach of workflow optimization is experimentally verified by four use cases in the life science domain. All workflows were significantly improved, which demonstrates the advantage of the proposed workflow optimization. Finally, a new collaboration-based approach is introduced that harnesses optimization provenance to make optimization faster and more robust in the future.
Download or read book Multiscale Modelling Methods for Applications in Materials Science written by Ivan Kondov and published by Forschungszentrum Jülich. This book was released on 2013 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Pedestrian Fundamental Diagrams written by Jun Zhang and published by Forschungszentrum Jülich. This book was released on 2012 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Characterizing Load and Communication Imbalance in Parallel Applications written by David Böhme and published by Forschungszentrum Jülich. This book was released on 2014-03-28 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Generalized Algebraic Kernels and Multipole Expansions for Massively Parallel Vortex Particle Methods written by Robert Speck and published by Forschungszentrum Jülich. This book was released on 2011 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Timestamp Synchronization of Concurrent Events written by Daniel Becker and published by Forschungszentrum Jülich. This book was released on 2010 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Practical Advances in Quantum Error Correction Communication written by Daniel Benjamin Criger and published by . This book was released on 2013 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing exists at the intersection of mathematics, physics, chemistry, and engineering; the main goal of quantum computing is the creation of devices and algorithms which use the properties of quantum mechanics to store, manipulate and measure information. There exist many families of algorithms, which, using non-classical logical operations, can outperform traditional, classical algorithms in terms of memory and processing requirements. In addition, quantum computing devices are fundamentally smaller than classical processors and memory elements; since the physical models governing their performance are applicable on all scales, as opposed to classical logic elements, whose underlying principles rely on the macroscopic nature of the device in question. Quantum algorithms, for the most part, are predicated on a theory of resources. It is often assumed that quantum computers can be placed in a precise fiducial state prior to computation, and that logical operations are perfect, inducing no error on the system which they affect. These assumptions greatly simplify algorithmic design, but are fundamentally unrealistic. In order to justify their use, it is necessary to develop a framework for using a large number of imperfect devices to simulate the action of a perfect device, with some acceptable probability of failure. This is the study of fault-tolerant quantum computing. In order to pursue this study effectively, it is necessary to understand the fundamental nature of generic quantum states and operations, as well as the means by which one can correct quantum errors. Additionally, it is important to attempt to minimize the use of computational resources in achieving error reduction and fault-tolerant computing. This thesis is concerned with three projects related to the use of error-prone quantum systems to transmit and manipulate information. The first of these is concerned with the use of imperfectly-prepared states in error-correction routines. Using optimal quantum error correction, we are able to deduce a method of partially protecting encoded quantum information against preparation errors prior to encoding, using no additional qubits. The second of these projects details the search for entangled states which can be used to transmit classical information over quantum channels at a rate superior to classical states. The third of these projects concerns the transcoding of data from one quantum code into another using few ancillary resources. The descriptions of these projects are preceded by a brief introduction to representations of quantum states and channels, for completeness. Three techniques of general interest are presented in appendices. The first is an introduction to, and a minor advance in the development of optimal error correction codes. The second is a more efficient means of calculating the action of a quantum channel on a given state, given that the channel acts non-trivially only on a subsystem, rather than the entire system. Finally, we include documentation on a software package developed to aid the search for quantum transcoding operations.
Download or read book Quantum Computing written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-04-27 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved. Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.
Download or read book Honest Approximations to Realistic Fault Models and Their Applications to Efficient Simulation of Quantum Error Correction written by Daniel Puzzuoli and published by . This book was released on 2014 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the performance of realistic noisy encoded circuits is an important task for the development of large-scale practical quantum computers. Specifically, the development of proposals for quantum computation must be well informed by both the qualities of the low-level physical system of choice, and the properties of the high-level quantum error correction and fault-tolerance schemes. Gaining insight into how a particular computation will play out on a physical system is in general a difficult problem, as the classical simulation of arbitrary noisy quantum circuits is inefficient. Nevertheless, important classes of noisy circuits can be simulated efficiently. Such simulations have led to numerical estimates of threshold errors rates and resource estimates in topological codes subject to efficiently simulable error models. This thesis describes and analyzes a method that my collaborators and I have introduced for leveraging efficient simulation techniques to understand the performance of large quantum processors that are subject to errors lying outside of the efficient simulation algorithm's applicability. The idea is to approximate an arbitrary gate error with an error from the efficiently simulable set in a way that "honestly'' represents the original error's ability to preserve or distort quantum information. After introducing and analyzing the individual gate approximation method, its utility as a means for estimating circuit performance is studied. In particular, the method is tested within the use-case for which it was originally conceived; understanding the performance of a hypothetical physical implementation of a quantum error-correction protocol. It is found that the method performs exactly as desired in all cases. That is, the circuits composed of the approximated error models honestly represent the circuits composed of the errors derived from the physical models.
Download or read book Financial Modeling Using Quantum Computing written by Anshul Saxena and published by Packt Publishing Ltd. This book was released on 2023-05-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achieve optimized solutions for real-world financial problems using quantum machine learning algorithms Key Features Learn to solve financial analysis problems by harnessing quantum power Unlock the benefits of quantum machine learning and its potential to solve problems Train QML to solve portfolio optimization and risk analytics problems Book DescriptionQuantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems. This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing. By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.What you will learn Explore framework, model and technique deployed for Quantum Computing Understand the role of QC in financial modeling and simulations Apply Qiskit and Pennylane framework for financial modeling Build and train models using the most well-known NISQ algorithms Explore best practices for writing QML algorithms Use QML algorithms to understand and solve data mining problems Who this book is for This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.