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
Quantum Amplitude Amplification	enhancing amplitude of a target state
Quantum Amplitude Estimation	estimating the amplitude of a target state
QAOA	solving combinatorial optimizatin problems
QIRO	solving combinatorial optimizatin problems, with quantum informed update rules
Shor’s Algorithm	efficiently factoring large numbers
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.