Quantum Computing For Programmers And Investors
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Quantum Computing for Programmers and Investors
This book is aimed at people who simply know the basics of computer programming. It does not require any notion of physics and allows its readers to understand with total accuracy and in the simplest way the use that could be made of a quantum computer, by explaining step by step how to write a software to emulate its operation. The usual expression that a qubit “is an object that can be simultaneously in both binary states 0 and 1” will lose all the aura of mystery that surrounds it, and readers will understand exactly its meaning and implications for computing without the need for any knowledge of physics. The book describes quantum computing by considering it strictly from a computer science point of view, simply as a machine that is capable of transforming a given input into a given output using any suitable physical principle to work, and thus allows to become completely familiar with quantum gates and with the most famous quantum algorithms. The only condition is that the readers are familiar with some programming language and with the basic concepts of classical computer science: those who have this knowledge will easily follow the description of quantum algorithms and understand the software emulation that is implemented in the book, and will also have fun running and testing it with their own PC. The knowledge acquired through this book is of vital importance to investors because it allows them to judge independently on the risk of investing in this technology. It has been written for programmers because the knowledge of basics of computer science is useful to understand exactly what a quantum computer, once built, could be used for. But this understanding is also essential for investors who must evaluate whether and how much it is appropriate to risk investing in the development of quantum computing. Therefore, even investors (private investors, consultants, managers of financing funds for technological enterprises, etc.) who want to decide on the allocation of resources in quantum computing with full knowledge of the stakes, must know this book, and if they do not personally own the necessary prerequisites, they can use it by hiring some trusted computer expert to read it, understand it and report on the result.
Learn Quantum Computing with Python and Q#
Author: Sarah C. Kaiser
language: en
Publisher: Simon and Schuster
Release Date: 2021-07-27
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
Programming Quantum Computers
Quantum 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. 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. This book includes three multichapter sections: Programming for a QPU—Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives—Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications—Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm.