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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By : Robert Loredo
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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By: Robert Loredo

Overview of this book

IBM Quantum Lab is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and on several real quantum computers. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum dashboard and Quantum Information Science Kit (Qiskit) SDK. You will become well versed with the IBM Quantum Composer interface as well as the IBM Quantum Lab. You will learn the differences between the various available quantum computers and simulators. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, quantum circuits, qubits, and the gates that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Quantum and the developer-focused resources it offers to address key concerns like noise and decoherence within a quantum system. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum programs and will have gained a practical understanding of quantum computation that you can apply to your business.
Table of Contents (18 chapters)
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14
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15
Index

Understanding interference

One of the benefits of quantum computing is its ability to interleave these principles in such a way that usually, while explaining one, you can very easily describe the other. We did this earlier in this chapter with respect to interference. Let’s review and see where we have come across this phenomenon and its usage so far.

First, recall that, at the beginning of this chapter, we described the double-slit experiment. There, we discussed how an electron can act as both a wave and a particle. When acting like a wave, we saw that the experiment illustrated how the electrons traveled and landed at certain spots on the observation screen. The pattern that it displayed was generally one that we recognize from classic physics as wave interference.

The pattern had probabilistic results along the backboard, as shown in the observing screen in Figure 4.2, where the center of the screen has the highest number of electrons and the blank areas along...

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