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
VQE	finding the ground state energy of a Hamiltonian
QAOA	solving combinatorial optimization problems
QIRO	solving combinatorial optimization problems, with quantum informed update rules
QITE	performing quantum imaginary-time evolution
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

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