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 

periodicity detection and phase estimation 

estimating the eigenvalues of a unitary operator 

enhancing amplitude of a target state 

estimating the amplitude of a target state 

solving combinatorial optimizatin problems 

solving combinatorial optimizatin problems, with quantum informed update rules 

efficiently factoring large numbers 

unstructured search 

solving constraintsatisfaction problems like 3SAT or the Traveling Salesman Problem (TSP) 

estimating the amount of solutions for a given Grover oracle 

Iterable Demuxing, Shifting, and Permutation 
lowlevel manipulations of quantum arguments like QuantumVariable or QuantumArray 
We encourage you to explore these algorithms, delve into their documentation, and experiment with their implementations.