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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

Learning about the foundational oracle-based quantum algorithm

We learned in the previous section that the very early quantum algorithms illustrated quantum speedup vis-à-vis classical systems in relation to a simple problem. In this section, we will expand on this to look at a more complex problem. To do this, we will learn about another oracle-based algorithm, Bernstein-Vazirani. The difference between this one and the previous foundational algorithms is that the Bernstein-Vazirani algorithm will identify a hidden bit string using an oracle function in a single query.

Learning about the Bernstein-Vazirani algorithm

Originally invented in 1992 by Ethan Bernstein and Umesh Vazirani, the Bernstein-Vazirani algorithm extends the Deutsch-Jozsa algorithm to a generalization to find an unknown or secret bit string. Where the Deutsch-Jozsa algorithm worked to solve the problem of determining whether a given function is constant or balanced, the Bernstein-Vazirani algorithm...

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