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Quantum Computing - by Andrew Glassner (Paperback)

Quantum Computing - by  Andrew Glassner (Paperback) - 1 of 1
$49.99 when purchased online
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About this item

Highlights

  • A friendly introduction to quantum programming.
  • About the Author: Andrew Glassner, PhD, is a principal research scientist at FX, where he uses deep learning to help artists produce visual effects for film and TV.
  • 424 Pages
  • Computers + Internet,

Description



Book Synopsis



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.



About the Author



Andrew Glassner, PhD, is a principal research scientist at FX, where he uses deep learning to help artists produce visual effects for film and TV. He was technical papers chair for SIGGRAPH '94, founding editor of the Journal of Computer Graphics Techniques, and editor in chief of ACM Transactions on Graphics. His prior books include Deep Learning: A Visual Approach (No Starch Press), the Graphics Gems series, and the textbook Principles of Digital Image Synthesis. In his free time, he paints, writes novels, and plays jazz piano.
Dimensions (Overall): 9.25 Inches (H) x 7.0 Inches (W)
Weight: .81 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 424
Genre: Computers + Internet
Publisher: No Starch Press
Format: Paperback
Author: Andrew Glassner
Language: English
Street Date: September 16, 2025
TCIN: 1001845976
UPC: 9781718504004
Item Number (DPCI): 247-12-3427
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1 inches length x 7 inches width x 9.25 inches height
Estimated ship weight: 0.812 pounds
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