
Learn Quantum Computing with Python and IBM Quantum
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Search algorithms are unique in that they can be leveraged by various algorithms to find information, whether in a data repository or a list of values, such as features in an image. The advantage with quantum, of course, is in the potential for speeding up the search. Grover’s algorithm is one such example. It uses a well-known technique that allows the use of interference to amplify certain states in our quantum circuit in a way that will increase the amplitude of the value we are searching for and decrease those that we are not. Let’s start, as always, by describing the problem, where each state is analogous to an entry in an unordered list.
The problem here is also very simple: we are given a set of states where all states are set to 0, except one state which is set to 1. We wish to identify which one of those states is set to 1.
Classically, this can be done in, in the best case...