Quantum advantage

Quantum advantage is the demonstration that a quantum computer can solve a commercially, scientifically, or practically relevant problem faster, cheaper, or better than the best known classical method. Unlike quantum supremacy, which targets artificial benchmark problems with no practical value, quantum advantage requires solving a problem that someone actually cares about — whether simulating molecular dynamics for drug discovery, optimizing supply chains, or training machine learning models. The distinction is not merely semantic; it determines funding priorities, research directions, and the timeline for useful quantum computing. As of 2026, no unambiguous demonstration of quantum advantage exists. The problems that quantum computers can solve are either too small to beat classical optimization or too noisy to scale. The race for quantum advantage is therefore a race against both classical algorithmic improvement and quantum error correction progress, and it is not clear which side is winning.