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- Author : Siddhartha Bhattacharyya
- Publsiher : Walter de Gruyter GmbH & Co KG
- Release : 08 June 2020
- ISBN : 3110670704
- Pages : 131 pages
- Rating : 4/5 from 21 reviews

GET THIS BOOKQuantum Machine Learning

Read or download book entitled Quantum Machine Learning written by Siddhartha Bhattacharyya which was release on 08 June 2020, this book published by Walter de Gruyter GmbH & Co KG. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

- 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 : 3110670704

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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 : Peter Wittek
- Publisher : Academic Press
- Release Date : 2014-09-10
- Total pages : 176
- ISBN : 3110670704

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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 : Santanu Ganguly
- Publisher : Apress
- Release Date : 2021-07-09
- Total pages : 380
- ISBN : 3110670704

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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 : Jordi Riu I Vicente
- Publisher : Unknown
- Release Date : 2019
- Total pages : 212
- ISBN : 3110670704

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**Summary :** We use reinforcement learning techniques to optimize the Quantum Approximate Optimization Algorithm when applied to the MaxCut problem. We explore Q-learning based techniques both for continuous and discrete action environments with regular and irregular graphs....

- Author : Maria Schuld
- Publisher : Unknown
- Release Date : 2017
- Total pages : 402
- ISBN : 3110670704

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**Summary :** Download or read online Quantum Machine Learning for Supervised Pattern Recognition written by Maria Schuld, published by which was released on 2017. Get Quantum Machine Learning for Supervised Pattern Recognition Books now! Available in PDF, ePub and Kindle....

- Author : Maria Schuld,Francesco Petruccione
- Publisher : Springer
- Release Date : 2018-08-30
- Total pages : 287
- ISBN : 3110670704

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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 : Felix Andreas Faber
- Publisher : Unknown
- Release Date : 2019
- Total pages : 212
- ISBN : 3110670704

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**Summary :** Download or read online Quantum Machine Learning in Chemical Space written by Felix Andreas Faber, published by which was released on 2019. Get Quantum Machine Learning in Chemical Space Books now! Available in PDF, ePub and Kindle....

- 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 : 3110670704

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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 : Neeraj Kumar,Alka Agrawal,Brijesh Kumar Chaurasia,Raees Ahmad Khan
- Publisher : Information Science Reference
- Release Date : 2020-12-18
- Total pages : 335
- ISBN : 3110670704

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**Summary :** "This book is for security experts as well as for IoT developers to help them understand the concepts related to quantum cryptography and classical cryptography and providing a direction to security professionals and IoT solution developers toward using approaches of Quantum Cryptography as available computational power increases"--...

- Author : Andreas Miroslaus Wichert
- Publisher : World Scientific
- Release Date : 2020-07-08
- Total pages : 496
- ISBN : 3110670704

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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 : Anupam Prakash
- Publisher : Unknown
- Release Date : 2014
- Total pages : 89
- ISBN : 3110670704

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**Summary :** Most quantum algorithms offering speedups over classical algorithms are based on the three techniques of phase estimation, amplitude estimation and Hamiltonian simulation. In spite of the linear algebraic nature of the postulates of quantum mechanics, until recent work by Lloyd and coauthors cite{LMR13, LMR13a, LMR13b} no quantum ...

- Author : Dr. Makhamisa Senekane
- Publisher : Packt Publishing Ltd
- Release Date : 2021-01-29
- Total pages : 252
- ISBN : 3110670704

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**Summary :** Quantum computers have the potential to efficiently solve problems that are otherwise unmanageable for classical computers. This book takes a hands-on approach to help you explore the foundation of quantum information processing as well as associated methodologies and implementations to enable you to be productive in no time....

- Author : Philips Coleman Ph D
- Publisher : Unknown
- Release Date : 2021-03-05
- Total pages : 122
- ISBN : 3110670704

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**Summary :** Quantum Cоmрutіng іѕ a new аnd еxсіtіng fіеld аt thе intersection оf mаthеmаtісѕ, computer ѕсіеnсе аnd physics. It соnсеrnѕ a utilization оf quаntum mесhаnісѕ tо іmрrоvе the еffісіеnсу of computation. Hеrе wе present a ...

- Author : Srinjoy Ganguly,Thomas Cambier
- Publisher : Packt Publishing Ltd
- Release Date : 2021-04-30
- Total pages : 310
- ISBN : 3110670704

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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 : GEORGE. CHAPLINE
- Publisher : Unknown
- Release Date : 2019
- Total pages : 212
- ISBN : 3110670704

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**Summary :** Download or read online QUANTUM MECHANICS AND MACHINE LEARNING written by GEORGE. CHAPLINE, published by which was released on 2019. Get QUANTUM MECHANICS AND MACHINE LEARNING Books now! Available in PDF, ePub and Kindle....