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Quantum Utility

IBM's term for quantum circuits that are too complex to simulate classically but can be executed on real QPUs.

Quantum utility is a term coined by IBM in 2023 to describe the regime where quantum circuits are too large and deep to simulate exactly on classical hardware, even though they may not provide a performance advantage for practical tasks. IBM demonstrated quantum utility with a 127-qubit Eagle processor running a 2,880-gate circuit simulating a condensed matter physics model — results agreed with advanced classical simulation methods using tensor networks, validating the quantum results. Quantum utility is a weaker claim than quantum advantage: it shows that QPUs are operating correctly at scales beyond classical simulation, even if the problem being solved is not yet commercially relevant. The distinction matters because many near-term experiments operate in this regime — computationally intractable for classical simulation, but not yet solving useful problems better than classical alternatives.