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RQOPS

From Wikipedia, the free encyclopedia

Reliable Quantum Operations Per Second (rQOPS) is a metric that measures the capabilities and error rates of a quantum computer. It combines several key factors to measure how many reliable operations a computer can execute in a single second: logical error rates, clock speed, and number of reliable qubits.[1][2][3]

The quantities included in rQOPS can be measured in all quantum computer architectures, allowing different architectures to be compared with one standard metric. A larger rQOPS measurement indicates a faster and more accurate device capable of solving more complex problems.

Microsoft suggest that a machine with 1 million rQOPS qualifies as a quantum supercomputer.[3][1][4]

Alternative benchmarks include quantum volume, cross-entropy benchmarking, Circuit Layer Operations Per Second (CLOPS) proposed by IBM and IonQ's Algorithmic Qubits.[5][6][7] However, as opposed to considering qubit performance alone, rQOPS measures how capable a quantum system is at solving tangible problems.

Definition

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rQOPS is calculated as rQOPS=Q x f, at a corresponding logical error rate pL., where Q is the number of logical qubits and f is the hardware's logical clock speed. Microsoft has selected this metric for the higher quantum computing implementation levels as it encompasses scale, speed, and reliability.[1]

rQOPS =[Q][f]

See also

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References

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  1. ^ a b c Finke, Doug; Shaw, David (21 Sep 2023). "A Deeper Dive Into Microsoft's Topological Quantum Computer Roadmap". Quantum Computing Report. Retrieved 2024-10-08.
  2. ^ Russell, John (22 Jun 2023). "Microsoft Debuts Azure Quantum Elements and Azure Quantum Copilot LLM". HPCwire. Retrieved 2024-10-08.
  3. ^ a b Yirka, Bob (24 Jun 2023). "Microsoft claims to have achieved first milestone in creating a reliable and practical quantum computer". Phys.org. Retrieved 2024-07-01.
  4. ^ Lucero, Sam (October 2023). "In Pusuit of Fault-tolerant Quantum Computing" (PDF). Omdia. Retrieved 2024-10-08.
  5. ^ Smith-Goodson, Paul (23 Nov 2019). "Quantum Volume: A Yardstick To Measure The Performance Of Quantum Computers". Forbes. Retrieved 2024-10-08.
  6. ^ Leprince-Ringuet, Daphne (2 Nov 2022). "Quantum computing: IBM just created this new way to measure the speed of quantum processors". ZDNet. Retrieved 2024-07-01.
  7. ^ Dignan, Larry (9 Dec 2020). "IonQ introduces Algorithmic Qubits to counter Quantum Volume in quantum computing". ZDNet. Retrieved 2024-10-08.