Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python by Hassi Norlen

Free online books you can download Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python

Download Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python PDF

Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python
Hassi Norlen
Page: 359
Format: pdf, ePub, mobi, fb2
ISBN: 9781838828448
Publisher: Packt Publishing

Download Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python

Free online books you can download Quantum Computing in Practice with IBM Q Experience: Practical recipes to code real quantum computers, gates, and algorithms using IBM Qx, Qiskit and Python

Overview

Understand the nuances of programming traditional quantum computers and solve the challenges of the future while building and executing quantum programs on IBM Q hardware and simulators with the help of useful recipes and examples Work your way up from writing a simple quantum program to programming complex quantum algorithms Explore the probabilistic nature of qubits by performing quantum coin tosses and using random number generators Delve into quantum algorithms and their practical applications in various domains IBM Q Experience is a leading platform for simulating quantum computers as it helps to implement 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 Q 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, Grover's algorithm, and the DiVincenzo Criteria. 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 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.By the end of this book, you'll be able to build and execute your own quantum programs using IBM Q Experience with Python. Visualize a qubit in Python and understand the concept of superposition Install a local Qiskit simulator and connect to actual quantum hardware Compose quantum programs at the level of circuits using Qiskit Terra Compare and contrast Noisy Intermediate-Scale Quantum computers (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual IBM Q hardware Mitigate noise profiles in quantum circuits and systems using Qiskit Ignis Understand the difference between classical and quantum algorithms by implementing Grover's algorithm in Qiskit This book is for developers, data scientists, ML researchers, or quantum computing enthusiasts who want to understand how to use IBM Q 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.

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