 Quantum optimization algorithms

Quantum optimization algorithms are computational techniques that leverage the principles of quantum mechanics to solve optimization problems more efficiently than classical algorithms. These algorithms aim to find the best solution from a set of possible solutions by exploiting quantum phenomena such as superposition, entanglement, and quantum interference. ### Key Features of Quantum Optimization Algorithms 1. **Superposition**: Quantum bits (qubits) can exist in multiple states simultaneously, allowing quantum algorithms to evaluate multiple solutions to an optimization problem at once.