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A new benchmark reveals that current quantum processors are approximately 100,000 times below the performance threshold required for high-value scientific workloads. The study highlights a critical trade-off between operation speed and circuit complexity across leading hardware architectures from Google, IBM, and Quantinuum. This data provides a practical metric for evaluating the gap between today's noisy intermediate-scale quantum devices and fault-tolerant systems needed for complex simulations.
Quantum Computers Need 100,000-Fold Performance Gain For Scientific Utility, Study Finds

Insider Brief A new benchmark could give researchers and buyers a more practical way to compare quantum computers by measuring how much computation they can complete successfully and how quickly they can do it. The new benchmark also indicates that future quantum computers will need a significant performance boost — in the 100,000-fold range — […]
The QUOPS benchmark measures how much computation a quantum computer can complete successfully and how quickly it can perform the work. Tests found that Quantinuum’s Helios handled larger circuits, while Google’s Willow and IBM’s Boston completed operations at higher rates. The study estimates that current quantum computing capability must increase about 100,000-fold to reach the scientific workloads examined. A new benchmark could give researchers and buyers a more practical way to compare quantum computers by measuring how much computation they can complete successfully and how quickly they can do it. The new benchmark also indicates that future quantum computers will need a significant performance boost — in the 100,000-fold range — to tackle high-value scientific problems. The Quantum Universal Operations Performance System, or QUOPS, measures the largest useful-sized test circuit a quantum computer can run above a set accuracy threshold. It also records the rate at which the machine performs those operations. Researchers tested the benchmark on processors from Quantinuum, Google and IBM, according to a study…
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