
Learn Quantum Computing with Python and IBM Quantum
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There are many algorithms that implement many of the techniques we covered in this and the previous chapter on quantum algorithms, many of which you will see used in other algorithms, such as the quantum amplitude estimation and variational quantum eigensolver algorithms, and so on.
I do strongly suggest trying variations of these algorithms yourself to get a better feel and understanding of how they work.
In the next and final chapter, we will look at the features that are built into Qiskit, which allow you as a researcher or developer to leverage them to create your own quantum algorithms. You will gain the skills to integrate these algorithms into your existing research or applications without having to worry about developing circuits, mitigating against noise, or any of the other components that make up an algorithm in Qiskit. This book has already done the heavy lifting for you, so you can simply implement the algorithm and process the results as you see fit.
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