Learning Quantum Computing
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Machine Learning With Quantum Computers
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Author : Maria Schuld
language : en
Publisher: Springer Nature
Release Date : 2021-10-17
Machine Learning With Quantum Computers written by Maria Schuld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-17 with Science categories.
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.
Learn Quantum Computing With Python And Ibm Quantum
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Author : Robert Loredo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-25
Learn Quantum Computing With Python And Ibm Quantum written by Robert Loredo 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 2025-02-25 with Computers categories.
A step-by-step guide to working with programs that exploit quantum computing principles, with the help of IBM Quantum, Qiskit, and Python Key Features Understand the difference between classical computers and quantum computers Work with key quantum computational principles such as superposition, interference, and entanglement, and observe how they are leveraged on the IBM Quantum systems Run your own quantum experiments and applications by integrating with Qiskit and Python Book DescriptionThe IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business. What you will learn Get familiar with the features within the IBM Quantum Platform Create and visualize quantum gates and circuits Operate quantum gates on qubits using the IBM Quantum Composer Install and run your quantum circuits on an IBM Quantum computer Discover Qiskit and its many features such as the Qiskit Runtime Get to grips with fundamental quantum algorithms and error mitigation techniques to help you get started Understand the new era of quantum utility and how this moves us closer towards quantum advantage Who this book is for This book is for Python developers who are looking to learn quantum computing from the ground up and put their knowledge to use in practical situations with the help of the IBM Quantum Platform and Qiskit. Some background in computer science and high school-level physics and math is required.
Supervised Learning With Quantum Computers
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Author : Maria Schuld
language : en
Publisher: Springer
Release Date : 2018-08-30
Supervised Learning With Quantum Computers written by Maria Schuld and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-30 with Science categories.
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.
Learning Quantum Computing
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Author : ROBERT JOYCE
language : en
Publisher: IT Campus Academy
Release Date : 2023-10-04
Learning Quantum Computing written by ROBERT JOYCE and has been published by IT Campus Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-04 with Computers categories.
Learn the basics of quantum computing and explore its potential applications Quantum computing is a rapidly developing field with the potential to revolutionize many aspects of our lives. This book provides a comprehensive introduction to quantum computing, from the basics of quantum mechanics to the latest advances in quantum computing technology. Whether you're a student, a researcher, or a professional, this book is a valuable resource for anyone who wants to learn about quantum computing. In this book, you'll learn: The fundamental concepts of quantum mechanics, such as wave-particle duality, superposition, and entanglement The basic principles of quantum computing, such as qubits, quantum gates, and quantum algorithms The latest advances in quantum computing technology, including superconducting quantum computers, trapped ion quantum computers, and photonic quantum computers The challenges and opportunities facing quantum computing The potential applications of quantum computing, such as artificial intelligence, drug discovery, materials science, and finance This book is written in a clear and concise style, and it is packed with information. It is also written for readers who do not have any prior experience with quantum computing. If you're interested in learning about quantum computing, this book is a great place to start.
Learn Quantum Computing With Python And Ibm Quantum Experience
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Author : Robert Loredo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-09-28
Learn Quantum Computing With Python And Ibm Quantum Experience written by Robert Loredo 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 2020-09-28 with Computers categories.
A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time Key FeaturesDetermine the difference between classical computers and quantum computersUnderstand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systemsRun your own quantum experiments and applications by integrating with QiskitBook Description IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. What you will learnExplore quantum computational principles such as superposition and quantum entanglementBecome familiar with the contents and layout of the IBM Quantum ExperienceUnderstand quantum gates and how they operate on qubitsDiscover the quantum information science kit and its elements such as Terra and AerGet to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithmHow to create and visualize a quantum circuitWho this book is for This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.
Applied Quantum Computers
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Author : Dr. Patanjali Kashyap
language : en
Publisher: BPB Publications
Release Date : 2023-01-27
Applied Quantum Computers written by Dr. Patanjali Kashyap and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Computers categories.
Explore the tools and concepts for Quantum Computing KEY FEATURES ● Offers a diverse range of perspectives from small businesses to multinational conglomerates on the potential of Quantum computing. ● Provides fundamental principles of quantum, optical, and DNA computing and artificial intelligence. ● Collection of hand-picked quantum computing-related frameworks, tools, and utilities for creating new computing spaces. DESCRIPTION Quantum Computing is a hardware, software and technical architectural design paradigm that change traditional computing including Boolean logic with quantum laws and principles at the algorithmic and hardware level. Its use cases and applications can be found in artificial intelligence machine learning, metaverse, cryptography and blockchain technology. This book will help the readers quickly and accurately to understand quantum computing and related technologies by allowing them to make more informed and intelligent business and technical decisions. This book covers almost every aspect of quantum computing from concepts to algorithms to industrial applications. In addition, the book discusses practical guidelines and best practices for quantum computers and related technologies such as artificial intelligence, photonic and DNA computing wherever possible and as needed. This book prepares readers for the future and will assist them in dealing with any challenges associated with quantum computers. If you're interested in writing code, a quick overview of Q#, a quantum programming language, is included in the book's appendix. Almost every chapter contains some quick answers to frequently asked questions, so you can get what you need right away. At the end of each chapter, a textual summary of the chapter and mind maps is provided for the readers, making it possible for them to obtain an overall impression of the ideas presented in a single moment. WHAT YOU WILL LEARN ● Learn the basics of modern computing that includes quantum, optical, and DNA computing, AI and cloud computing. ● Explore strategies for setting up a development environment for quantum computing implementation. ● Acquire knowledge of the frameworks and algorithms used in Quantum Computing, such as Deutch, Shor's, and Grover's. ● Understand the principles and operations of quantum computing. WHO THIS BOOK IS FOR This book is for anyone who is interested in learning more about quantum computing, the various tools available for its implementation, and seeing how to meet the needs of modern businesses. In addition, those already in artificial intelligence, blockchain, or complex computing will find this book very appealing. TABLE OF CONTENTS 1. Tools for Imaginations, Innovation, Technologies, and Creativity 2. Quantum Physics as an Enabler of a Quantum Computer 3. Mathematics of Quantum Computers: The Fundamentals 4. From Bits to Qubits to Qubytes 5. Artificial Intelligence and Associated Technologies: A Review 6. Quantum Algorithms for Everyone …!!! 7. Quantum Machine Learning 8. Quantum Cryptography: The Future of Security 9. The Architecture of a Quantum Computer 10. DNA, Quantum and Photonic Computers 11. Let’s Realize It: Quantum Start-Ups and Giants in Action 12. The Quantum Strategies 13. The Human Side of Quantum Computer Annexure 1: Q# for quantum computation Annexure 2: Python for Quantum computing Annexure 3: Miscellaneous topics: reduction in emissions, global warming, fearless leadership and important facts Annexure 4: References, Notes and Bibliography
Learn Quantum Computing With Python And Q
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Author : Sarah C. Kaiser
language : en
Publisher: Simon and Schuster
Release Date : 2021-07-27
Learn Quantum Computing With Python And Q written by Sarah C. Kaiser and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.
Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft’s Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft’s open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You’ll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems. What's inside The underlying mechanics of quantum computers Simulating qubits in Python Exploring quantum algorithms with Q# Applying quantum computing to chemistry, arithmetic, and data About the reader For software developers. No prior experience with quantum computing required. About the author Dr. Sarah Kaiser works at the Unitary Fund, a non-profit organization supporting the quantum open-source ecosystem, and is an expert in building quantum tech in the lab. Dr. Christopher Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices. Table of Contents PART 1 GETTING STARTED WITH QUANTUM 1 Introducing quantum computing 2 Qubits: The building blocks 3 Sharing secrets with quantum key distribution 4 Nonlocal games: Working with multiple qubits 5 Nonlocal games: Implementing a multi-qubit simulator 6 Teleportation and entanglement: Moving quantum data around PART 2 PROGRAMMING QUANTUM ALGORITHMS IN Q# 7 Changing the odds: An introduction to Q# 8 What is a quantum algorithm? 9 Quantum sensing: It’s not just a phase PART 3 APPLIED QUANTUM COMPUTING 10 Solving chemistry problems with quantum computers 11 Searching with quantum computers 12 Arithmetic with quantum computers
Quantum Machine Learning
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Author : Peter Wittek
language : en
Publisher: Academic Press
Release Date : 2014-09-10
Quantum Machine Learning written by Peter Wittek and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-10 with Science categories.
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 are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. - Bridges the gap between abstract developments in quantum computing with the applied research on machine learning - Provides the theoretical minimum of machine learning, quantum mechanics, and quantum computing - Gives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of research
Learn Quantum Computing With Python And Q
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Author : Sarah C. Kaiser
language : en
Publisher: Simon and Schuster
Release Date : 2021-06-22
Learn Quantum Computing With Python And Q written by Sarah C. Kaiser and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Computers categories.
Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft's open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You'll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems.
Learn Quantum Computing Fast
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Author : Maxim Brooks
language : en
Publisher: Oladosun Mopelola Opeyemi
Release Date : 2025-07-11
Learn Quantum Computing Fast written by Maxim Brooks and has been published by Oladosun Mopelola Opeyemi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
The Moment You Finally "Get" Quantum. Quantum computing represents the next great technological leap, a breathtaking marriage of physics and information science that will reshape our world. But how can you, a non-expert, understand this revolutionary field? Drawing on a unique background as both a theoretical physicist and a passionate educator, this guide demystifies the core principles of quantum computing. This book was written with a clear goal: to provide an accessible yet comprehensive introduction for anyone, from curious students to tech professionals, who wants to grasp the coming quantum revolution. It prioritizes clarity above all else, using intuitive analogies and practical, real-world examples. You will not only learn what these concepts are but why they matter. This guide explains for the non-expert: The Fundamental Building Blocks: Truly understand qubits, superposition, and the "spooky" magic of entanglement. Quantum Gates and Circuits: Learn how to command qubits using the basic operations that form the heart of every quantum algorithm. The Hardware Zoo: A look at the different "flavors" of quantum computers, from superconducting chips to trapped ions and photonics. Error Correction: How scientists are tackling the immense challenge of noise and decoherence to build reliable machines. Landmark Algorithms: The power of Shor's and Grover's algorithms explained simply, and why they changed the world. The Quantum Threat: Understand the impact of quantum computers on modern cryptography and the race to build a quantum-safe future. Real-World Impact: See how this technology is poised to affect medicine, finance, AI, and more. And so much more! By the end of this guide, you will have moved from curiosity to confidence. You won't just "know about" quantum computing—you will understand the principles that are powering the next generation of technology and be ready to engage with the quantum revolution that is already underway.