Newscientist iconNewscientistSep 15, 2026 ~4 min source read

A practical benchmark for quantum usefulness: QUOPS score and what it reveals

Researchers led by Timothy Proctor propose a single-number benchmark, QUOPS, that measures how many physical building blocks and operations a quantum computer can reliably run — and shows today’s machines remain far from tackling high-impact problems.

We may finally have a way to rate a quantum computer’s usefulness

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Useful takeaways from this story.

QUOPS compresses a quantum machine’s size and operational fidelity into a single score that can be compared directly with the score required by a target quantum algorithm.

A separate QUOPS rate estimates how long a computation would take on a given machine, adding a time dimension to usefulness.

What QUOPS measures

QUOPS stands for quantum universal operation performance system. The idea is to run a defined set of quantum circuits on a machine and use the outcomes to compute a single score that captures two concrete things: how many physical qubits the device effectively contributes to computation, and how many operations those qubits can execute before errors swamp the result.

What the early results show

The team also tested a device configured for fault-tolerant operation: Quantinuum's Helios-1 as a fault-tolerant machine scored about 40. That highlights a gap between early fault-tolerant implementations and what is needed for useful, large-scale quantum computations.

Why this matters now

Quantum hardware usually gets compared by raw qubit counts, but qubit number alone is misleading because errors and limited connectivity reduce usable computation. QUOPS is an attempt to combine size and error behaviour into one practical metric that answers the question readers and buyers often ask: "Can this machine run my algorithm?"

The benchmark can also guide engineering choices. According to collaborators on the project, software implementing the benchmark can show how small hardware changes affect the QUOPS score, enabling iterative design improvements focused on real computational capability rather than single hardware specs.

Fault tolerance and the path forward

Proctor's team points to an inflection point: when logical qubits attain higher QUOPS scores than uncorrected physical qubits, developers will have a clearer route to match those logical-qubit scores to the demands of useful algorithms.

Limits of a single-number benchmark

QUOPS brings clarity but is not a final word on quantum power. As machines evolve, new performance aspects may matter that are not captured by the current benchmark. The authors and commentators note that QUOPS should be seen as a practical, current tool to compare devices and to measure progress toward useful quantum computation, rather than a comprehensive theory of quantum computational power.

Bottom line

QUOPS gives researchers and potential users a concrete, comparable measure of how much computation a quantum device can actually deliver and how long computations will take. Early applications of the benchmark show present devices are many orders of magnitude short of the performance needed for high-impact problems, and that raising logical-qubit QUOPS is a central engineering challenge moving forward.

More context around this story.

Зачем нужны квантовые компьютеры, поможет понять новый бенчмарк
Computerra iconComputerraSep 16, 2026

Зачем нужны квантовые компьютеры, поможет понять новый бенчмарк

Источник: Компьютерра - Журнал о науке и технологиях Квантовые компьютеры часто сравнивают по числу кубитов, однако этот показатель не говорит, насколько машина способна решать полезные задачи. Большое количество кубитов само по себе не гарантирует высокой скорости вычислений: важны также ошибки, качество связей между

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