Quantum Computing

From Concepts to Code

(Author) Andrew Glassner Glassner Andrew
Format: Paperback
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A friendly introduction to quantum programming. What if you had a computer that could process billions of different inputs at the same time? Quantum computing is a radically new way to think about algorithms and data. It can feel mysterious or technically challenging, but it doesn’t have to be. If you want to understand how quantum computers work—and how to program them—this friendly, self-contained guide is for you. This approachable yet rigorous book walks you step-by-step through quantum computing fundamentals, such as superposition, quantum gates, interference, entanglement, and measurement, then teaches you how to write real quantum programs. Along the way, you’ll: Understand how to store and transform quantum information Grasp the surprising process of quantum measurement Explore Simon’s, Grover’s, and Shor’s algorithms Write and run your own quantum code using free simulators and live hardware Author Andrew Glassner is known for turning complex topics into accessible and enjoyable learning experiences. In this book, he brings visual thinking, clarity, context, and precision to the strange and fascinating world of quantum programming. All the ideas and math are built up slowly so you’ll master every step. Whether you’re a programmer, student, educator, scientist, poet, or anyone else who loves new ideas that stretch your mind, this is the guide that will take you from “What is a qubit?” to writing and running working quantum algorithms with curiosity, creativity, and confidence.

Information
Publisher:
No Starch Press,US
Format:
Paperback
Number of pages:
426
Language:
en
ISBN:
9781718504004
Publish year:
2025
Publish date:
Sept. 16, 2025
Weight:
2 lb

Andrew Glassner

Andrew Glassner is a renowned computer graphics researcher, author, and educator. His most famous work, "Principles of Digital Image Synthesis," is a seminal text in the field. Glassner's writing style is clear, concise, and accessible, making complex topics easy to understand. His key contributions to literature include advancing the understanding and application of computer graphics techniques.

Glassner Andrew

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