Machine Learning with Quantum Computers

• Author : Maria Schuld,Francesco Petruccione
• Publisher : Springer Nature
• Release Date : 2021-11-18
• Total pages : 312
• ISBN : 3030830985

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Summary : 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 ...

• Author : Santanu Pattanayak
• Publisher : Apress
• Release Date : 2021-03-29
• Total pages : 295
• ISBN : 3030830985

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Summary : Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can ...

• Author : Peter Wittek
• Publisher : Academic Press
• Release Date : 2014-09-10
• Total pages : 176
• ISBN : 3030830985

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Summary : Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing ...

• Author : Siddhartha Bhattacharyya,Indrajit Pan,Ashish Mani,Sourav De,Elizabeth Behrman,Susanta Chakraborti
• Publisher : Walter de Gruyter GmbH & Co KG
• Release Date : 2020-06-08
• Total pages : 131
• ISBN : 3030830985

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Summary : Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing ...

• Author : Maria Schuld,Francesco Petruccione
• Publisher : Springer
• Release Date : 2018-08-30
• Total pages : 287
• ISBN : 3030830985

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Summary : 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 ...

• Author : Siddhartha Bhattacharyya,Indrajit Pan,Ashish Mani,Sourav De,Elizabeth Behrman,Susanta Chakraborti
• Publisher : Walter de Gruyter GmbH & Co KG
• Release Date : 2020-06-08
• Total pages : 131
• ISBN : 3030830985

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Summary : Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing ...

• Author : Andreas Wichert
• Publisher : Unknown
• Release Date : 2020-07
• Total pages : 498
• ISBN : 3030830985

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Summary : Download or read online Principles of Quantum Artificial Intelligence written by Andreas Wichert, published by which was released on 2020-07. Get Principles of Quantum Artificial Intelligence Books now! Available in PDF, ePub and Kindle....

• Author : Santanu Ganguly
• Publisher : Apress
• Release Date : 2021-08-11
• Total pages : 551
• ISBN : 3030830985

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Summary : Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of ...

• Author : Kristof T. Schütt,Stefan Chmiela,O. Anatole von Lilienfeld,Alexandre Tkatchenko,Koji Tsuda,Klaus-Robert Müller
• Publisher : Springer Nature
• Release Date : 2020-06-03
• Total pages : 467
• ISBN : 3030830985

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Summary : Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding ...

• Author : Stanislav Abaimov,Maurizio Martellini
• Publisher : Springer Nature
• Release Date : 2022
• Total pages : 212
• ISBN : 3030830985

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Summary : The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, ...

• Author : Srinjoy Ganguly,Thomas Cambier
• Publisher : Packt Publishing Ltd
• Release Date : 2021-04-30
• Total pages : 310
• ISBN : 3030830985

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Summary : Silq is a new high-level programming language to program quantum computers easily. Silq is set to revolutionize quantum programming just as the C programming language did for classical computers. Quantum Computing with Silq will prepare you for the quantum revolution and enable you to start building software and application programs ...

• Author : Andreas Miroslaus Wichert
• Publisher : World Scientific
• Release Date : 2020-07-08
• Total pages : 496
• ISBN : 3030830985

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Summary : 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 ...

• Author : Patanjali Kashyap
• Publisher : Apress
• Release Date : 2018-01-04
• Total pages : 355
• ISBN : 3030830985

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Summary : Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the ...

• Author : Éric Renault,Selma Boumerdassi,Paul Mühlethaler
• Publisher : Springer Nature
• Release Date : 2021-03-02
• Total pages : 375
• ISBN : 3030830985

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Summary : This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, ...

• Author : Neeraj Kumar,N. Gayathri,Md Arafatur Rahman,B. Balamurugan
• Publisher : CRC Press
• Release Date : 2020-08-13
• Total pages : 384
• ISBN : 3030830985

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Summary : Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through ...