Computational Complexity

Computational complexity in quantum computing studies how the resources (like time or number of qubits) needed to solve a problem scale with input size on a quantum computer. It classifies problems into complexity classes (e.g., BQP, QMA) that describe what quantum computers can efficiently solve or verify. The goal is to compare these classes with classical ones (like P or NP) to understand whether quantum computers offer real computational advantages.