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Dancing with Qubits

Dancing with Qubits

By : Robert S. Sutor
5 (24)
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Dancing with Qubits

Dancing with Qubits

5 (24)
By: Robert S. Sutor

Overview of this book

Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you. This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning. Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.
Table of Contents (26 chapters)
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1
I Foundations
8
II Quantum Computing
14
III Advanced Topics
18
Afterword
22
Other Books You May Enjoy
23
References
24
Index
Appendices

2.7 Growth, exponential and otherwise

Many people who use the phrase “exponential growth” misuse it, somehow thinking it only means “very fast.” Exponential growth involves, well, exponents. Figure 2.4 is a plot showing four kinds of growth: exponential, quadratic, linear, and logarithmic. exponential$growth growth$exponential growth$quadratic growth$linear growth$logarithmic logarithm function$logarithm function$exponential function$quadratic

 Figure 2.4: Four kinds of growth

I’ve drawn them so they all intersect at a point but afterward diverge. After the convergence, the logarithmic plot (dot-dashed) grows slowly, the linear plot (dashed) continues as it did, the quadratic plot (dotted) continues upward as a parabola, and the exponential one shoots up rapidly.

Look at the change in the vertical axis, the one I’ve labeled resources, versus the horizontal axis, labeled problem size...

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