Quantum Computing Basics Questions
The Quantum Approximate Optimization Algorithm (QAOA) is a quantum algorithm designed to solve optimization problems. It combines classical optimization techniques with quantum computing to find approximate solutions to combinatorial optimization problems. QAOA uses a parameterized quantum circuit to encode the problem into a quantum state and then applies a series of quantum gates to optimize the solution. By adjusting the parameters of the circuit, QAOA aims to find the optimal solution or a good approximation to the problem.