Python Powered Quantum Computing A Practical Guide To Qiskit And Beyond
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Python Powered Quantum Computing A Practical Guide To Qiskit And Beyond
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Author : Corwin Halesworth
language : en
Publisher: Independently Published
Release Date : 2025-07-07
Python Powered Quantum Computing A Practical Guide To Qiskit And Beyond written by Corwin Halesworth and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Computers categories.
Step into the Future of Computing-Master Quantum Programming with Python and Qiskit! Quantum computing is no longer just theoretical-it's here, and Python is your gateway to unlocking its transformative potential. "Python-Powered Quantum Computing: A Practical Guide to Qiskit and Beyond" is your hands-on roadmap to understanding, building, and running real quantum circuits using Python and IBM Quantum's Qiskit framework. Perfect for programmers, scientists, engineers, and curious minds, this book demystifies quantum mechanics and brings you face-to-face with real quantum computers-no PhD required. You'll learn not just the theory but how to write actual code, simulate quantum algorithms, and execute experiments on real quantum hardware. In this practical guide, you'll learn how to: Grasp the fundamentals of quantum computing and quantum gates Set up Qiskit and create your first quantum circuits in Python Simulate quantum algorithms on classical machines Run real experiments on IBM Quantum hardware in the cloud Explore key quantum algorithms including Grover's and Shor's algorithms Understand the role of quantum entanglement and superposition in computation Get introduced to emerging quantum applications in AI, cryptography, and optimization With step-by-step tutorials, real code examples, and expert insights, this book gives you the tools to start building the quantum future-today. The quantum era is here. Start coding it.
Quantum Programming In Depth
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Author : Mariia Mykhailova
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-29
Quantum Programming In Depth written by Mariia Mykhailova 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 2025-07-29 with Computers categories.
Go beyond the basics with this in-depth guide to quantum programming. Here’s something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal quantum applications software developer at PsiQuantum, guides you every step of the way. In Quantum Programming in Depth you’ll explore: • Algorithms to solve challenging quantum computing problems • Writing quantum programs with Q# and Qiskit • Testing quantum programs with simulators and specialized tools • Evaluating performance of quantum programs on future fault-tolerant quantum computers Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they’re solved. You’ll learn to write quantum programs using Qiskit and Q#—and even how to test your quantum code using common testing tools like pytest. You’ll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more. About the Technology Going from the basic quantum concepts to developing software for quantum computers can be difficult! Algorithms that leverage quantum phenomena require new ways of thinking about computation and new approaches to writing code, testing it, and evaluating its performance. This book bridges the gap between QC theory and quantum programming in practice. About the Book Quantum Programming in Depth shows you how to solve quantum computing problems in a programmer-friendly way. The book’s hands-on project-based approach will hone your quantum skills using realistic problems and progressively harder programming challenges. As you read, you’ll design quantum algorithms and explore their performance on future fault-tolerant quantum computers. What’s Inside • Solve challenging quantum computing problems • Write quantum programs with Q# and Qiskit • Test quantum programs • Evaluate performance of quantum programs About the Readers For students and software engineers who know Python and the basic concepts of quantum computing. About the Author Mariia Mykhailova is a principal quantum applications software developer at PsiQuantum. Table of Contents 1 Quantum computing: The hype and the promise Part 1 2 Preparing quantum states 3 Implementing quantum operations Part 2 4 Analyzing quantum states 5 Analyzing quantum operations Part 3 6 Evaluating classical functions on a quantum computer 7 Grover’s search algorithm 8 Solving N queens puzzle using Grover’s algorithm 9 Evaluating the performance of quantum algorithms A Setting up your environment Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Quantum Computing In Practice With Qiskit And Ibm Quantum Experience
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Author : Hassi Norlén
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-23
Quantum Computing In Practice With Qiskit And Ibm Quantum Experience written by Hassi Norlén 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 2020-11-23 with Computers categories.
Understand the nuances of programming traditional quantum computers and solve the challenges of the future while building and executing quantum programs on IBM Quantum hardware and simulators Key FeaturesWork your way up from writing a simple quantum program to programming complex quantum algorithmsExplore the probabilistic nature of qubits by performing quantum coin tosses and using random number generatorsDelve into quantum algorithms and their practical applications in various domainsBook Description IBM Quantum Experience® is a leading platform for programming quantum computers and implementing quantum solutions directly on the cloud. This book will help you get up to speed with programming quantum computers and provide solutions to the most common problems and challenges. You’ll start with a high-level overview of IBM Quantum Experience® and Qiskit®, where you will perform the installation while writing some basic quantum programs. This introduction puts less emphasis on the theoretical framework and more emphasis on recent developments such as Shor’s algorithm and Grover’s algorithm. Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. You’ll cover these packages in detail, exploring their benefits and use cases. Later, you’ll discover various quantum gates that Qiskit® offers and even deconstruct a quantum program with their help, before going on to compare Noisy Intermediate-Scale Quantum (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual hardware. Finally, you’ll explore quantum algorithms and understand how they differ from classical algorithms, along with learning how to use pre-packaged algorithms in Qiskit® Aqua. By the end of this quantum computing book, you’ll be able to build and execute your own quantum programs using IBM Quantum Experience® and Qiskit® with Python. What you will learnVisualize a qubit in Python and understand the concept of superpositionInstall a local Qiskit® simulator and connect to actual quantum hardwareCompose quantum programs at the level of circuits using Qiskit® TerraCompare and contrast Noisy Intermediate-Scale Quantum computing (NISQ) and Universal Fault-Tolerant quantum computing using simulators and IBM Quantum® hardwareMitigate noise in quantum circuits and systems using Qiskit® IgnisUnderstand the difference between classical and quantum algorithms by implementing Grover’s algorithm in Qiskit®Who this book is for This book is for developers, data scientists, machine learning researchers, or quantum computing enthusiasts who want to understand how to use IBM Quantum Experience® and Qiskit® to implement quantum solutions and gain practical quantum computing experience. Python programming experience is a must to grasp the concepts covered in the book more effectively. Basic knowledge of quantum computing will also be beneficial.
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.
A Practical Guide To Quantum Computing
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Author : Elías F. Combarro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-30
A Practical Guide To Quantum Computing written by Elías F. Combarro 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 2025-07-30 with Computers categories.
Learn about quantum information processing with Qiskit through hands-on projects. A foundational resource for STEM professionals, researchers and university students interested in quantum computers and algorithms. Key Features Understand the theoretical foundations of quantum computing Learn how to use the Qiskit framework and how to run quantum algorithms with it Discover top quantum algorithms like Grover’s search and Shor’s factoring methods Purchase of the print or Kindle book includes a free PDF eBook Book Description This book is an introduction, from scratch, to quantum computing and the most important and foundational quantum algorithms—ranging from humble protocols such as Deutsch’s algorithm to ones with far-reaching potential, such as Shor’s factoring algorithm—offering clear explanations and a hands-on approach with runnable code on simulators and real hardware. The book is self-contained and does not assume any previous experience in quantum computing. Starting with a single qubit, it scales to algorithms using superposition and entanglement. At every step, examples of applications are provided, including how to create quantum money that is impossible to forge, quantum cryptography that cannot be broken, and algorithms for searching and factoring that are much faster than those that regular, non-quantum computers can use. Code for each of these algorithms is provided (and explained in detail) using Qiskit 2.1. After reading this book, you will understand how quantum algorithms work, how to write your own quantum programs, and how to run them on quantum simulators and actual quantum computers. You will also be prepared to take the jump into quantum algorithms for optimization and artificial intelligence, like those presented in our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization. What you will learn Understand what makes a quantum computer unique Mathematically represent the state of multi-qubit systems Describe the effects of measurements in quantum computers Know how quantum superposition, entanglement, and interference work Implement and run any quantum algorithm in Qiskit Understand how Shor's and Grover's algorithms work Gain familiarity with quantum fault-tolerance and quantum advantage Who this book is for This book would be ideal for university-level students in Computer Science, Mathematics, Physics or other STEM fields taking introductory-level courses on quantum computing. It also suits professionals, researchers and self-learners with a STEM background. Potential readers of our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization, will benefit from first building foundational quantum computing skills with this book.
Quantum Mechanics Meets Python Hands On Coding For Future Tech
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Author : Corwin Halesworth
language : en
Publisher: Independently Published
Release Date : 2025-07-09
Quantum Mechanics Meets Python Hands On Coding For Future Tech written by Corwin Halesworth and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Step Beyond Classical Computing-Learn Quantum Mechanics by Coding Real Quantum Algorithms in Python! Quantum computing is no longer just the stuff of science fiction-it's becoming a reality, and the best way to learn it is by getting your hands dirty with code. Whether you're a programmer, student, tech enthusiast, or researcher, "Quantum Mechanics Meets Python: Hands-On Coding for Future Tech" is your gateway to understanding and building quantum algorithms from scratch using Python. This practical guide takes you on a journey from the fundamental principles of quantum mechanics to writing and running real quantum programs on simulators and cloud-based quantum computers. No PhD required-just curiosity, coding skills, and a willingness to explore. In this essential guide, you'll learn how to: Grasp the basics of qubits, superposition, and entanglement Build and visualize quantum circuits in Python Implement foundational algorithms like Deutsch-Jozsa, Grover's Search, and Quantum Teleportation Use leading Python-based quantum frameworks like Qiskit and Cirq Run real experiments on IBM Quantum and other cloud platforms Understand emerging applications in cryptography, optimization, and AI Get hands-on with code examples, simulations, and real-world quantum challenges With clear explanations, step-by-step coding tutorials, and hands-on projects, this book empowers you to master the core ideas driving the next revolution in computing. Quantum mechanics is weird. Coding it makes it real. The future starts now.
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.
Introductory Quantum Computing A Practical Approach Using Python
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Author : Nikhil Ranjan Roy, Kuntal Mukherjee
language : en
Publisher: S. Chand Publishing
Release Date :
Introductory Quantum Computing A Practical Approach Using Python written by Nikhil Ranjan Roy, Kuntal Mukherjee and has been published by S. Chand Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Quantum Computing has opened a new orientation in the world of Computing, Security, Networking, Machine Learning and many more allied disciplines. In this extremely dynamic transitional period, Introductory Quantum Computing presents the ideas and concepts of Quantum Computing for learners in a manner that is simple and easy to learn from a gentle introduction to the core topics and, finally, the algorithms, applications, physical realisations and simulation using sophisticated open-source programming language, namely Python programming language and IBM-Qiskit (Cloud Computing based Quantum Computing Platform by IBM). The book covers important topics such as Quantum Mechanical Preliminaries, Quantum Model of Computation, The Quantum Circuit Model, Quantum Supremacy and The Versatility of Quantum Computing thereby providing a significant view of the subject.
Building Quantum Software With Python
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Author : Constantin Gonciulea
language : en
Publisher: Simon and Schuster
Release Date : 2025-05-13
Building Quantum Software With Python written by Constantin Gonciulea 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 2025-05-13 with Computers categories.
A developer-centric look at quantum computing. The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you the foundation you need to build the software for the quantum age, and apply quantum computing to real-world business and research problems. In Building Quantum Software with Python you will learn about: • Quantum states, gates, and circuits • A practical introduction to quantum algorithms • Running quantum software on classical simulators and quantum hardware • Quantum search, phase estimation, and quantum counting • Quantum solutions to optimization problems Building Quantum Software with Python lays out the math and programming techniques you’ll need to apply quantum solutions to real challenges like sampling from classically intractable probability distributions and large-scale optimization problems. You will learn which quantum algorithms and patterns apply to different types of problems and how to build your first quantum applications. All the simulator code you write can be easily converted to run on real quantum hardware. Foreword by Heather Higgins. About the technology Large-scale optimization problems, complex financial and scientific simulations, cryptographic calculations, and certain types of machine learning require unreasonably long times to run on classical computers. Quantum computers can perform some operations like these almost instantaneously! Don’t wait to get started. This book will prime you on quantum applications, implementations, and hybrid quantum-classic designs so you’ll be ready to join the quantum revolution. About the book Building Quantum Software with Python teaches you how to build working applications that run on a simulator or real quantum hardware. By relating QC to classical computing concepts you already know, this book’s intuitive visualizations and code implementations make quantum computing easy to grasp even if you don’t have a background in advanced math. As you go, you’ll discover and implement quantum techniques for truly random sampling, optimization solutions, unstructured search, and more—all using easy-to-follow Python code. What's inside • Hype-free discussions of when, where, and why QC makes sense • Solving complex optimization problems • Quantum search using Grover’s Algorithm • Fourier transform, phase estimation, and probability distribution sampling About the reader For developers who know Python. No advanced math knowledge required. About the author Constantin Gonciulea leads the Advanced Technology group at Wells Fargo and has worked in quantum computing since 2018. Charlee Stefanski is a senior software engineer at Wells Fargo, where she leads the development of the internal quantum computing platform. Table of Contents Part 1 1 Advantages and challenges of programming quantum computers 2 A first look at quantum computations: The knapsack problem 3 Single-qubit states and gates 4 Quantum state and circuits: Beyond one qubit Part 2 5 Selecting outcomes with quantum oracles 6 Quantum search and probability estimation 7 The quantum Fourier transform 8 Using the quantum Fourier transform 9 Quantum phase estimation Part 3 10 Encoding functions in quantum states 11 Search-based quantum optimization 12 Conclusions and outlook Appendixes A Math refresher B More about quantum states and gates C Outcome pairing strategies
Dancing With Python
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Author : Robert S. Sutor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-31
Dancing With Python written by Robert S. Sutor 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 2021-08-31 with Computers categories.
Develop skills in Python and Quantum Computing by implementing exciting algorithms, mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits. Key FeaturesCreate quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulatorsLearn the Pythonic way to write elegant and efficient codeDelve into Python's advanced features, including machine learning, analyzing data, and searchingBook Description Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way. What you will learnExplore different quantum gates and build quantum circuits with Qiskit and PythonWrite succinct code the Pythonic way using magic methods, iterators, and generatorsAnalyze data, build basic machine learning models, and plot the resultsSearch for information using the quantum Grover Search AlgorithmOptimize and test your code to run efficientlyWho this book is for The book will help you get started with coding for Python and Quantum Computing. Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author's Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.