Principles Of Quantum Artificial Intelligence


Principles Of Quantum Artificial Intelligence
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Principles Of Quantum Artificial Intelligence


Principles Of Quantum Artificial Intelligence
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Author : Andreas Wichert
language : en
Publisher: World Scientific
Release Date : 2013-10-23

Principles Of Quantum Artificial Intelligence written by Andreas Wichert and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-23 with Computers categories.


In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems. Contents:IntroductionComputationProblem SolvingInformationReversible AlgorithmsProbabilityIntroduction to Quantum PhysicsComputation with QubitsPeriodicitySearchQuantum Problem-SolvingQuantum CognitionRelated Approaches Readership: Professionals, academics, researchers and graduate students in artificial intelligence, theoretical computer science, quantum physics and computational physics. Keywords:Quantum Computing;Quantum Theory;Artificial Intelligence;Cognitive Computation;AlgorithmsKey Features:Introduces a new subarea of AI — Quantum Artificial IntelligenceOrients itself on computer science by merging AI and Quantum Computation principles



Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition


Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition
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Author : Andreas Miroslaus Wichert
language : en
Publisher: World Scientific
Release Date : 2020-07-08

Principles Of Quantum Artificial Intelligence Quantum Problem Solving And Machine Learning Second Edition written by Andreas Miroslaus Wichert and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-08 with Computers categories.


This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds.



Principles Of Quantum Artificial Intelligence


Principles Of Quantum Artificial Intelligence
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Author : Andreas Wichert
language : en
Publisher:
Release Date : 2020-07

Principles Of Quantum Artificial Intelligence written by Andreas Wichert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07 with Computers categories.




Principles Of Quantum Artificial Intelligence


Principles Of Quantum Artificial Intelligence
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Author : Andreas Wichert
language : en
Publisher:
Release Date : 2014

Principles Of Quantum Artificial Intelligence written by Andreas Wichert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Artificial intelligence categories.




Applications And Principles Of Quantum Computing


Applications And Principles Of Quantum Computing
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-01-31

Applications And Principles Of Quantum Computing written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Science categories.


In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.



Mind Brain Quantum Ai And The Multiverse


Mind Brain Quantum Ai And The Multiverse
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Author : Andreas Wichert
language : en
Publisher: CRC Press
Release Date : 2022-10-11

Mind Brain Quantum Ai And The Multiverse written by Andreas Wichert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Computers categories.


There is a long-lasting controversy concerning our mind and consciousness. Mind, Brain, Quantum AI, and the Multiverse proposes a connection between the mind, the brain, and the multiverse. The author introduces the main philosophical ideas concerning mind and freedom, and explains the basic principles of computer science, artificial intelligence of brain research, quantum physics, and quantum artificial intelligence. He indicates how we can provide an answer to the problem of the mind and consciousness by describing the nature of the physical world. His proposed explanation includes the Everett Many-Worlds theory. This book tries to avoid any non-essential metaphysical speculations. The text is an essential compilation of knowledge in philosophy, computer science, biology, and quantum physics. It is written for readers without any requirements in mathematics, physics, or computer science.



Mind Brain Quantum Ai And The Multiverse


Mind Brain Quantum Ai And The Multiverse
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Author : Andrzej Wichert
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2022-10

Mind Brain Quantum Ai And The Multiverse written by Andrzej Wichert and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10 with Computers categories.


Mind, Brain, Quantum AI, and the Multiverse There is a long-lasting controversy concerning our mind and consciousness.This book proposes a connection between the mind, the brain, and the multiverse. The author introduces the main philosophical ideas concerning mind and freedom, and explains the basic principles of computer science, artificial intelligence of brain research, quantum physics, and quantum artificial intelligence. He indicates how we can provide an answer to the problem of the mind and consciousness by describing the nature of the physical world. His proposed explanation includes the Everett Many-Worlds theory. Mind, Brain, Quantum AI, and the Multiverse tries to avoid any non-essential metaphysical speculations. The book is an essential compilation of knowledge in philosophy, computer science, biology, and quantum physics. It is written for readers without any requirements in mathematics, physics, or computer science.



Quantum Computing With Python


Quantum Computing With Python
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Author : Jason Test
language : en
Publisher: Independently Published
Release Date : 2021-03-17

Quantum Computing With Python written by Jason Test and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with categories.


*KINDLE VERSION Discounted at $ 9.99 instead of $ 14.99... Get QUANTUM PHYSICS section for FREE!! "Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning" Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? Finally on launch the most complete Python+Quantum Physics guide with 4 Manuscripts in 1 book! This is a challenging tool to find real help with many unique contents that indirectly will answer to your doubts: 1-Python for beginners 2-Python for Data Science 3-Python Crash Course and special and FREE section: 4-Quantum Physics for beginners QUANTUM COMPUTING WITH PYTHON will introduce you many selected practices for coding. You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Easy-to-follow steps for reading and writing codes. ✓ 3 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ✓3 reasons why Python is fundamental for Data Science ✓How to use Python Data Analysis in your business ✓ How to set up the Python environment for Data Science ✓Most important Machine Learning Algorithms 3) Python Crash Course ✓ A Proven Method to Write your First Program in 7 Days ✓The One Thing You Need to Debug your Codes in Python ✓5 Practical exercises to start programming 4) Quantum Physics for beginners ✓The law and principles of quantum physics and the law of attraction; ✓The power of quantum ✓Differences between Quantum cryptography and Quantum computers Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. You will also learn all the 3 best tricks of writing codes with point by point descriptions of the code elements. Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. If you really wish to to learn Python and master its language, please click the BUY NOW button.



Quantum Machine Learning And Optimisation In Finance


Quantum Machine Learning And Optimisation In Finance
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Author : Antoine Jacquier
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-31

Quantum Machine Learning And Optimisation In Finance written by Antoine Jacquier and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Mathematics categories.


Learn the principles of quantum machine learning and how to apply them While focus is on financial use cases, all the methods and techniques are transferable to other fields Purchase of Print or Kindle includes a free eBook in PDF Key Features Discover how to solve optimisation problems on quantum computers that can provide a speedup edge over classical methods Use methods of analogue and digital quantum computing to build powerful generative models Create the latest algorithms that work on Noisy Intermediate-Scale Quantum (NISQ) computers Book Description With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware. Speedup is so important in financial applications, ranging from analysing huge amounts of customer data to high frequency trading. This is where quantum computing can give you the edge. Quantum Machine Learning and Optimisation in Finance shows you how to create hybrid quantum-classical machine learning and optimisation models that can harness the power of NISQ hardware. This book will take you through the real-world productive applications of quantum computing. The book explores the main quantum computing algorithms implementable on existing NISQ devices and highlights a range of financial applications that can benefit from this new quantum computing paradigm. This book will help you be one of the first in the finance industry to use quantum machine learning models to solve classically hard real-world problems. We may have moved past the point of quantum computing supremacy, but our quest for establishing quantum computing advantage has just begun! What you will learn Train parameterised quantum circuits as generative models that excel on NISQ hardware Solve hard optimisation problems Apply quantum boosting to financial applications Learn how the variational quantum eigensolver and the quantum approximate optimisation algorithms work Analyse the latest algorithms from quantum kernels to quantum semidefinite programming Apply quantum neural networks to credit approvals Who this book is for This book is for Quants and developers, data scientists, researchers, and students in quantitative finance. Although the focus is on financial use cases, all the methods and techniques are transferable to other areas.



Quantum Ai In Libraries


Quantum Ai In Libraries
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Author : Hesham Mohamed Elsherif
language : en
Publisher: Eldonusa
Release Date : 2023-12-21

Quantum Ai In Libraries written by Hesham Mohamed Elsherif and has been published by Eldonusa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.


Quantum computing and artificial intelligence (AI) are two of the most revolutionary technologies of our time. They have the potential to fundamentally transform how we process, analyze, and utilize information. The book "Quantum AI in Libraries: Transforming Information Management and Services" is an endeavor to explore the intersection of these groundbreaking technologies within the context of libraries - institutions that have long been the guardians and disseminators of knowledge. Introduction to Quantum AI Quantum AI, a term that encapsulates the fusion of quantum computing with artificial intelligence, represents a leap forward in computational capabilities. Quantum computing, leveraging the principles of quantum mechanics, offers processing power exponentially greater than traditional computing. When combined with AI's capabilities in learning and pattern recognition, the result is a paradigm shift in problem-solving and data analysis. In the initial chapters, the book delves into the fundamentals of quantum computing, including qubits, superposition, and entanglement. It then explores how AI algorithms can be enhanced by quantum computing, thus giving rise to Quantum AI. These concepts are introduced in an accessible manner, ensuring readers from various backgrounds can grasp the essentials. Relevance and Importance for Libraries Libraries have always been at the forefront of managing information and knowledge. However, the digital revolution has brought forth challenges and opportunities that require novel approaches. Quantum AI holds immense potential in areas such as cataloging vast collections, optimizing search and retrieval mechanisms, and personalizing user experiences. The book devotes significant space to discussing how Quantum AI can be applied to various library functions. From digital archiving and data preservation to advanced recommendation systems and natural language processing for query handling, the potential applications are both transformative and far-reaching. Overview of the Book Structure "Quantum AI in Libraries" is structured to guide readers from foundational concepts to practical applications. The first section, as mentioned, covers the essentials of Quantum AI. The subsequent sections are dedicated to specific applications within library and information science: Data Management and Organization: This section addresses how Quantum AI can revolutionize data storage, retrieval, and organization in libraries, making these processes more efficient and less resource-intensive. User Experience and Engagement: Here, we explore the role of Quantum AI in enhancing user experience, including personalized recommendations, AI-assisted research, and interactive learning. Preservation and Archiving: The book discusses the revolutionary potential of Quantum AI in preserving digital and analog materials, addressing challenges like data decay and format obsolescence. Ethical and Practical Considerations: This crucial section delves into the ethical implications of employing advanced technologies in public spaces like libraries. It also discusses the practical aspects of implementing Quantum AI, considering the current technological landscape and budgetary constraints. Case Studies and Future Directions: The book concludes with real-world case studies showcasing early adopters of Quantum AI in libraries and speculates on future trends and developments in the field. In conclusion, "Quantum AI in Libraries: Transforming Information Management and Services" is an ambitious work that aims to bridge the gap between cutting-edge technology and traditional library services.