Introduction To Quantum Neural Technologies PDF Download
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| Author | : Alexandr A. Ezhov |
| Publisher | : |
| Total Pages | : 248 |
| Release | : 2003 |
| Genre | : Neural networks (Computer science) |
| ISBN | : |
Download Introduction to Quantum Neural Technologies Book in PDF, ePub and Kindle
This is a first introductory book in Quantum Neural Technology -- a new and promising area of informatics. Combination of the ideas from quantum computing and neural computing raises the possibility of dramatically decreasing the complexity of neural systems by replacing networks of classical neurons with a single quantum neuron. In the first two chapters, the fundamentals of neural technologies and of quantum computing are presented. In the third chapter, it is outlined how the problems typical for classical neural technology can be solved by using quantum neural technology. This book is very useful to students, teachers, researchers, and engineers, who are working in informatics or just interested in being briefly aware of it.
| Author | : Kusum Deep |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1048 |
| Release | : 2012-04-15 |
| Genre | : Technology & Engineering |
| ISBN | : 8132204875 |
Download Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 Book in PDF, ePub and Kindle
The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.
| Author | : Vladimir G. Ivancevic |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 938 |
| Release | : 2010-01-18 |
| Genre | : Computers |
| ISBN | : 9048133505 |
Download Quantum Neural Computation Book in PDF, ePub and Kindle
Quantum Neural Computation is a graduate–level monographic textbook. It presents a comprehensive introduction, both non-technical and technical, into modern quantum neural computation, the science behind the fiction movie Stealth. Classical computing systems perform classical computations (i.e., Boolean operations, such as AND, OR, NOT gates) using devices that can be described classically (e.g., MOSFETs). On the other hand, quantum computing systems perform classical computations using quantum devices (quantum dots), that is devices that can be described only using quantum mechanics. Any information transfer between such computing systems involves a state measurement. This book describes this information transfer at the edge of classical and quantum chaos and turbulence, where mysterious quantum-mechanical linearity meets even more mysterious brain’s nonlinear complexity, in order to perform a super–high–speed and error–free computations. This monograph describes a crossroad between quantum field theory, brain science and computational intelligence.
| Author | : Maria Schuld |
| Publisher | : Springer |
| Total Pages | : 293 |
| Release | : 2018-08-30 |
| Genre | : Science |
| ISBN | : 3319964240 |
Download Supervised Learning with Quantum Computers Book in PDF, ePub and Kindle
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.
| Author | : Maria Schuld |
| Publisher | : Springer Nature |
| Total Pages | : 321 |
| Release | : 2021-10-17 |
| Genre | : Science |
| ISBN | : 3030830985 |
Download Machine Learning with Quantum Computers Book in PDF, ePub and Kindle
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.
| Author | : Peru?, Mitja |
| Publisher | : IGI Global |
| Total Pages | : 314 |
| Release | : 2010-11-30 |
| Genre | : Medical |
| ISBN | : 1615207864 |
Download Biological and Quantum Computing for Human Vision: Holonomic Models and Applications Book in PDF, ePub and Kindle
Many-body interactions have been successfully described through models based on classical or quantum physics. More recently, some of the models have been related to cognitive science by researchers who are interested in describing brain activity through the use of artificial neural networks (ANNs). Biological and Quantum Computing for Human Vision: Holonomic Models and Applications presents an integrated model of human image processing up to conscious visual experience, based mainly on the Holonomic Brain Theory by Karl Pribram. This work researches possibilities for complementing neural models of early vision with the new preliminary quantum models of consciousness in order to construct a model of human image processing.
| Author | : Andrei Khrennikov |
| Publisher | : MDPI |
| Total Pages | : 276 |
| Release | : 2019-04-18 |
| Genre | : Science |
| ISBN | : 3038977144 |
Download Quantum Probability and Randomness Book in PDF, ePub and Kindle
The last few years have been characterized by a tremendous development of quantum information and probability and their applications, including quantum computing, quantum cryptography, and quantum random generators. In spite of the successful development of quantum technology, its foundational basis is still not concrete and contains a few sandy and shaky slices. Quantum random generators are one of the most promising outputs of the recent quantum information revolution. Therefore, it is very important to reconsider the foundational basis of this project, starting with the notion of irreducible quantum randomness. Quantum probabilities present a powerful tool to model uncertainty. Interpretations of quantum probability and foundational meaning of its basic tools, starting with the Born rule, are among the topics which will be covered by this issue. Recently, quantum probability has started to play an important role in a few areas of research outside quantum physics—in particular, quantum probabilistic treatment of problems of theory of decision making under uncertainty. Such studies are also among the topics of this issue.
| Author | : Alto Osada |
| Publisher | : Springer Nature |
| Total Pages | : 298 |
| Release | : 2022-11-16 |
| Genre | : Science |
| ISBN | : 9811946418 |
Download Introduction to Quantum Technologies Book in PDF, ePub and Kindle
This book is a concise primer of quantum technology aiming at providing a comprehensive material of fundamentals to help beginners understand the common concepts and background theories to technologies for individual quantum systems. Further, it also describes how the concepts and theories are applied to technologies in various systems. This book consists of three parts. The first part looks back over basics of quantum mechanics necessary for the main content, including quantum state and operators, time evolution and perturbation theory. The second part explains in detail key components indispensable to follow quantum technologies: two-level systems, harmonic oscillator and cavity quantum electrodynamics and resonators. In the third part, the physical quantum systems are treated in a more abstract way by introducing quantum logic gates, quantum measurement and quantum error correction. Technical supplements are included in Appendices. The well-compiled topics and concise presentation feature the book as a supplemental primer in the courses of quantum technologies including quantum computing, quantum communication, quantum sensing and quantum simulation.
| Author | : Tingwen Huang |
| Publisher | : Springer |
| Total Pages | : 872 |
| Release | : 2018-05-25 |
| Genre | : Computers |
| ISBN | : 3319925377 |
Download Advances in Neural Networks – ISNN 2018 Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.
| Author | : Canadian Society for Computational Studies of Intelligence. Conference |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 575 |
| Release | : 2006-06-06 |
| Genre | : Business & Economics |
| ISBN | : 3540346287 |
Download Advances in Artificial Intelligence Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, held in Québec City, Québec, Canada in June 2006. The 47 revised full papers presented were carefully reviewed and selected from 220 submissions. The papers are organized in topical sections on agents, bioinformatics, constraint satisfaction and distributed search, knowledge representation and reasoning, natural language, reinforcement learning and, supervised and unsupervised learning.
