Summary

Over the course of this chapter, we have seen two famous problems: Deutsch-Jozsa and Bernstein-Vazirani, designed to demonstrate that quantum algorithms can use the properties of quantum computing, such as the superposition of states or quantum interference, to gain an advantage over their classical counterparts.

After studying how to solve the problems theoretically with quantum techniques and looking at what the speedup was compared to the classical solution, we then practically implemented the algorithms in Silq and tested them on some examples.

We familiarized ourselves with Silq programming by implementing basic quantum algorithms using concepts such as the uniform superposition of states for a given number of qubits, which will be used in the next sections when designing more complex algorithms. It was also useful to showcase safe uncomputation, which is one of the key features of the Silq language.

In the next chapter, we will build on what we learned in this...