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Preface.- Acknowledgments.- List of Notations.- Introduction.- Think Quantumly About Computing.- Quantum Application Design.- Optimizing Quantum Systems--An Overview.- Quantum Programming Languages.- Circuit Synthesis and Compilation.- Microarchitecture and Pulse Compilation.- Noise Mitigation and Error Correction.- Classical Simulation of Quantum Computation.- Concluding Remarks.- Bibliography.- Authors' Biographies.

Quantum Computer Systems: Research for Noisy Intermediate | Scale Quantum Computers | Ding Yongshan | Keménykötésű

piFoundations of Quantum Programming idiscusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique power of quantum computers, which promise dramatic advantages in processing speed over currently available computer systems. Governments and industries around the globe are now investing vast amounts of money with the expectation of building practical quantum computers. Drawing upon years of experience and research in quantum computing research and using numerous examples and illustrations, Mingsheng Ying has created a very useful reference on quantum programming languages and important tools and techniques required for quantum programming, making the book a valuable resource for academics, researchers, and developers.p

Foundations of Quantum Programming | Ying Mingsheng | Keménykötésű

pWhy is the quantum computing market expected to grow by nearly 1.3 billion over the next five years p Given their quantum mechanical nature, quantum computers can solve difficult problems in fields such as chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. p This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. p Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply the appropriate Qiskit classes, methods, and functions. You'll also learn how to use the latest version of the Open Quantum Assembly Language, OpenQASM 3.0.

Qiskit Pocket Guide: Quantum Development with Qiskit | Weaver James | Keménykötésű

iLearn Quantum Computing with Python and Qi introduces quantum computing from a practical perspective. pbSummaryb briLearn Quantum Computing with Python and Qi 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. p Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. p bAbout the technologyb brQuantum 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. p bAbout the bookb briLearn Quantum Computing with Python and Qi introduces quantum computing f

Learn Quantum Computing with Python and Q#: A Hands | On Approach | Kaiser Sarah C. | Keménykötésű

As classic digital computers are about to reach their physical and architectural boundaries, interest in unconventional approaches to computing, such as quantum and analog computers, is rapidly increasing. For a wide variety of practical applications, analog computers can outperform classic digital computers in terms of both raw computational speed and energy efficiency. This makes them ideally suited a co-processors to digital computers, thus forming hybrid computers. This second edition of Analog and Hybrid Computer Programming provides a thorough introduction to the programming of analog and hybrid computers. It contains a wealth of practical examples, ranging from simple problems such as radioactive decay, harmonic oscillators, and chemical reaction kinetics to advanced topics which include the simulation of neurons, chaotic systems such as a double-pendulum simulation and many more. In addition to these examples, it contains a chapter on special functions which can be used as subr

Analog and Hybrid Computer Programming | Ulmann Bernd | Keménykötésű

pstrongThe bestselling scientific series is expanding! With scientific and mathematical information from an expert, this is the perfect book for enlightening the next generation of geniuses. Introduce your baby to programming and computer basics in this must-have board book for nerdy babies!strongppWritten by industry experts, emQuantum Computing for Babiesem is a colorfully simple introduction to the magical world of quantum computers. Babies and grownups! will discover the difference between bits and qubits and how quantum computers will change our future.ppWith a tongue-in-cheek approach that adults will love, this installment of the Baby University board book series is the perfect way to introduce basic concepts to even the youngest scientists. After all, it's never too early to become a quantum physicist!ppstrongBaby University It only takes a small spark to ignite a child's mind.strongppstrongOther Baby University titles include strongppemQuantum Physics for BabiesemppemRocket Sc

Quantum Computing for Babies | Ferrie Chris | Keménykötésű

pThis advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses. Both analytical and computational examples are integrated from its start. Each chapter concludes with a set of problems designed to help students hone their skills in mathematical techniques, computer programming, and numerical analysis. The book places less emphasis on mathematical proofs, and more emphasis on how to use computers for both symbolic and numerical calculations. It contains 182 extensively documented coding examples, based on topics that students will encounter in their advanced courses in Mechanics, Electronics, Optics, Electromagnetism, Quantum Mechanics etc.ppAn introductory chapter gives students a crash course in Python programming and the most often used libraries SymPy, NumPy, SciPy, Matplotlib. This is followed by chapter

Mathematical Methods Using Python: Applications in Physics and Engineering | Pagonis Vasilis | Keménykötésű

pstrongLearn the mathematics behind quantum computing and explore the high-level quantum language Silq to take your quantum programming skills to the next levelstrongppbrppstrongKey Features strongpulliHarness the potential of quantum computers more effectively using SilqliliLearn how to solve core problems that you may face while writing quantum programsliliExplore useful quantum applications such as cryptography and quantum machine learningliulpbrppstrongBook Description strongppQuantum computing is a growing field, with many research projects focusing on programming quantum computers in the most efficient way possible. One of the biggest challenges faced with existing languages is that they work on low-level circuit model details and are not able to represent quantum programs accurately. Developed by researchers at ETH Zurich after analyzing languages including Q and Qiskit, Silq is a high-level programming language that can be viewed as the C of quantum computers! Quantum Computing

Quantum Computing with Silq Programming: Get up and running with quantum computing with the simplicity of this new high | level programming language |

pQuantum computers are poised to kick-start a new computing revolution--and you can join in right away. If you're in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer's guide to understanding quantum computing. Rather than labor through math and theory, you'll work directly with examples that demonstrate this technology's unique capabilities. p Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You'll understand what quantum computers can do and learn how to identify the types of problems they can solve. p This book includes three multichapter sections ul libProgramming for a QPUb--Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. libQPU Primitivesb

Programming Quantum Computers: Essential Algorithms and Code Samples | Johnston Eric R. | Keménykötésű

Most people are baffled by how computers work and assume that they will never understand them. What they don't realize--and what Daniel Hillis's short book brilliantly demonstrates--is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle.Avoiding technobabble or discussions of advanced hardware, the lucid explanations and colorful anecdotes in iThe Pattern on the Stonei go straight to the heart of what computers really do. Hillis proceeds from an outline of basic logic to clear descriptions of programming languages, algorithms, and memory. He then takes readers in simple steps up to the most exciting developments in computing today--quantum computing, parallel computing, neural networks, and self-organizing systems.Written 

The Pattern on the Stone: The Simple Ideas That Make Computers Work | Hillis W. Daniel | Keménykötésű

This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C is used for programming the core programs and data analysis is performed using the powerful tools of the GNULinux environment. All the necessary software is open source and freely available. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and

Computational Physics | A Practical Introduction to Computational Physics and Scientific Computing | Keménykötésű

pYou've heard that quantum computing is going to change the world. Now you can check it out for yourself. Learn how quantum computing works, and write programs that run on the IBM Q quantum computer, one of the world's first functioning quantum computers. Learn a simple way to apply quantum mechanics to computer programming. Create algorithms to solve intractable problems for classical computers, and discover how to explore the entire problem space at once to determine the optimal solution. Get your hands on the future of computing today.p pQuantum computing overhauls computer science. Problems such as designing life-saving drugs and super-large logistics problems that have been difficult or impossible for classical computers to handle can now be solved in moments. Quantum computing makes it possible to explore all possible solutions simultaneously and determine those that work, instead of iterating through each possibility sequentially. Work with quantum computers directly, instead of

Quantum Computing: Program Next | Gen Computers for Hard, Real | World Applications | D. Nihal Mehta Ph. | Keménykötésű

This monograph is motivated by a number of recent developments that appear to define a possible new role for researchers with an engineering profile. First, there are now several software libraries - such as IBM's Qiskit, Google's Cirq, and Xanadu's PennyLane - that make programming quantum algorithms more accessible, while also providing cloud-based access to actual quantum computers. Second, a new framework is emerging for programming quantum algorithms to be run on current quantum hardware quantum machine learning.p pIn the current noisy intermediate-scale quantum NISQ era, quantum machine learning is emerging as a dominant paradigm to program gate-based quantum computers. In quantum machine learning, the gates of a quantum circuit are parametrized, and the parameters are tuned via classical optimization based on data and on measurements of the outputs of the circuit. Parametrized quantum circuits PQCs can efficiently address combinatorial optimization problems, implement probabilis

An Introduction to Quantum Machine Learning for Engineers | Simeone Osvaldo | Keménykötésű

A new edition of this book is also available on Amazon. Imagine what an astonishing effect could happen if we combined profound human natural creativity with computers' numerical and logical capabilities. Probably, individuals that will use this technology first will immensely benefit from it. brMany impressive achievements have recently emerged in machine learning and narrow AI. For example, modern deep neural networks can recognize and even generate some types of patterns even better than humans can. Some experts think that deep learning is a direct road to artificial general intelligence, but others think differently and propose alternative ideas such as evolutionary computations, cellular automata, probabilistic programming, or quantum computing. brThis book will cover many approaches to machine learning and the main classes of artificial neural networks and how these computational approaches can potentially lead to the creation of artificial general intelligence.brAlso, you will f

How to Create Machine Superintelligence: A Quick Journey through Classical/Quantum Computing, Artificial Intelligence, Machine Learning, and Neural |

pstrongUnderstand 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 simulatorsstrongppbrppstrongKey FeaturesstrongpulliWork your way up from writing a simple quantum program to programming complex quantum algorithmsliliExplore the probabilistic nature of qubits by performing quantum coin tosses and using random number generatorsliliDelve into quantum algorithms and their practical applications in various domainsliulpbrppstrongLong DescriptionstrongppIBM Quantum ExperienceR 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.ppbrppYou'll start with a high-level overview of IBM Quantum ExperienceR and QiskitR, where you will perform the installation while writing some bas

Quantum Computing in Practice with Qiskit | Keménykötésű

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