Algorithms

This algorithms submodule of Qrisp provides a collection of commonly used quantum algorithms that can be used to solve a variety of computational problems. Each algorithm comes with comprehensive documentation and brief examples to help you understand its implementation and usage:

ALGORITHM	USED FOR
Quantum Fourier Transform	periodicity detection and phase estimation
Quantum Phase Estimation	estimating the eigenvalues of a unitary operator
QAOA	solving combinatorial optimizatin problems
Grover’s Algorithm	unstructured search
Quantum Backtracking Algorithms	solving constraint-satisfaction problems like 3-SAT or the Traveling Salesman Problem (TSP)
Quantum Counting	estimating the amount of solutions for a given Grover oracle
Iterable Demuxing, Shifting, and Permutation	low-level manipulations of quantum arguments like QuantumVariable or QuantumArray

We encourage you to explore these algorithms, delve into their documentation, and experiment with their implementations.