Towards a Scalable Quantum Computing Platform in the Ultrastrong Coupling Regime, Kyaw Thi Ha
Автор: Thomas Scaffidi Название: Weak-Coupling Theory of Topological Superconductivity ISBN: 3319628666 ISBN-13(EAN): 9783319628660 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Lastly, the thesis makes predictions for the properties of the material under uniaxial strain, which are in good agreement with recent experiments -resolving the mystery of the so-called 3K phase, and suggesting the intriguing possibility that under strain the superconductor may become conventional.
Автор: Christian Schubert Название: Magnetic Order and Coupling Phenomena ISBN: 331907105X ISBN-13(EAN): 9783319071053 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis presents recent developments in magnetic coupling phenomena of ferrimagnetic rare-earth transition-metal Tb-Fe alloys and coupled systems consisting of ferri-/ferromagnetic heterostructures.
Описание: This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions.
Описание: This thesis devotes three introductory chapters to outlining basic recipes for constructing the quantum Hamiltonian of an arbitrary superconducting circuit, starting from classical circuit design. Since a superconducting circuit is one of the most promising platforms for realizing a practical quantum computer, anyone who is starting out in the field will benefit greatly from this introduction. The second focus of the introduction is the ultrastrong light-matter interaction (USC), where the latest developments are described. This is followed by three main research works comprising quantum memory in USC; scaling up the 1D circuit to a 2D lattice configuration; creation of Noisy Intermediate-Scale Quantum era quantum error correction codes and polariton-mediated qubit-qubit interaction. The research work detailed in this thesis will make a major contribution to the development of quantum random access memory, a prerequisite for various quantum machine learning algorithms and applications.?
Light and Vacuum presents a synthesis of selected fundamental topics of electromagnetic wave theory and quantum electrodynamics (QED) and analyzes the main theoretical difficulties encountered to ensure a coherent mathematical description of the simultaneous wave-particle nature of light, put in evidence by the experiments. The notion and the role of the quantum vacuum, strongly related to light, are extensively investigated.
Classical electrodynamics issued from Maxwell's equations revealed the necessity of introducing the notion of volume for an electromagnetic wave to stand entailing precise values of cut-off wavelengths to account for the shape and dimensions of the surrounding space. Conversely, in QED, light is considered to be composed of point particles disregarding the conceptual question on how the frequency of oscillating electric and magnetic fields may be attributed to a point particle.
To conciliate these concepts, the book provides a comprehensive overview of the author's work, including innovative contributions on the quantization of the vector potential amplitude at a single photon state, the non-local simultaneous wave-particle mathematical representation of the photon and finally the quantum vacuum. The purpose of the advanced elaborations is to raise questions, give hints and answers, and finally aspire for further theoretical and experimental studies in order to improve our knowledge and understanding on the real essence of Light and Vacuum.
Автор: Lluis Godo; Andrea Pugliese Название: Scalable Uncertainty Management ISBN: 3642043879 ISBN-13(EAN): 9783642043871 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009.
Автор: Hector Jensen; Costas Papadimitriou Название: Sub-structure Coupling for Dynamic Analysis ISBN: 3030128180 ISBN-13(EAN): 9783030128180 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Автор: Dostбl Zdeněk, Kozubek Tomбs, Sadowskб Marie Название: Scalable Algorithms for Contact Problems ISBN: 1493983121 ISBN-13(EAN): 9781493983124 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a comprehensive and self-contained treatment of the authors` newly developed scalable algorithms for the solutions of multibody contact problems of linear elasticity.
Автор: Bahaaldine Azarmi Название: Scalable Big Data Architecture ISBN: 1484213270 ISBN-13(EAN): 9781484213278 Издательство: Springer Рейтинг: Цена: 4186.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.
Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications, which involve web applications, RESTful API, and high throughput of large amount of data stored in highly scalable No-SQL data stores such as Couchbase and Elasticsearch. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.
When the data processing is too complex and involves different processing topology like long running jobs, stream processing, multiple data sources correlation, and machine learning, it's often necessary to delegate the load to Hadoop or Spark and use the No-SQL to serve processed data in real time.
This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.
Traditional data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book helps you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints imposed by dealing with the high throughput of Big data.
Scalable Big Data Architecture is for developers, data architects, and data scientists looking for a better understanding of how to choose the most relevant pattern for a Big Data project and which tools to integrate into that pattern.
Описание: Polaritonic chemistry is an emergent interdisciplinary field in which the strong interaction of organic molecules with confined electromagnetic field modes is exploited in order to manipulate the chemical structure and reactions of the system.
Автор: Schockaert Название: Scalable Uncertainty Management ISBN: 3319458558 ISBN-13(EAN): 9783319458557 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combinatorial Games: From Theoretical Solving to AI Algorithms.- A Gentle Introduction to Reinforcement Learning.- Possibilistic Graphical Models for Uncertainty Modeling.- On the Explanation of SameAs Statements using Argumentation.- Reasoning with Multiple-Agent Possibilistic Logic.- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count.- Graphical Models for Preference Representation: An Overview.- Diffusion of Opinion and Influence.- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation.- A Belief-Based Approach to Measuring Message Acceptability.- Intertranslatability of Labeling-based Argumentation Semantics.- Preference Inference Based on Pareto Models.- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation.- Metric Logic Program Explanations for Complex Separator Functions.- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty.- 9-ASP for Computing Repairs with Existential Ontologies.- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy.- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases.- Reasoning with Data - A New Challenge For AI.- Probabilistic Spatial Reasoning in Constraint Logic Programming.- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks.- Challenges for Efficient Query Evaluation on Structured Probabilistic Data.- Forgetting-Based Inconsistency Measure.- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm.- A Measure of Referential Success Based on Alpha-Cuts.- Graded Justification of Arguments via Internal and External Endogenous Features.
Автор: Davide Ciucci; Gabriella Pasi; Barbara Vantaggi Название: Scalable Uncertainty Management ISBN: 3030004600 ISBN-13(EAN): 9783030004606 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018.
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