September 2020
Beginner to intermediate
510 pages
10h 26m
English
Content preview from Learn Quantum Computing with Python and IBM Quantum Experience
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Chapter 14: Applying Quantum Algorithms
In this chapter, we will focus on algorithms that have the potential to solve more applicable problems, such as periodicity and searching. These algorithms differ from the earlier algorithms as these are used in various domains and are included in many modern quantum algorithms. A few examples of these modern quantum algorithms are the quantum amplitude estimation, variational quantum Eigensolvers, and quantum support vector machines algorithms. Having a good understanding of these will help you when learning about or creating your own algorithms as the techniques used can be applied in many industries.
Period algorithms can be used to solve factorization or phase estimation problems. Search algorithms ...