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We are introducing two new metrics — error per layered gate (EPLG) and CLOPSh — to fully encapsulate the performance of 100+ qubit processors powering this utility-scale era.

We are introducing two new metrics — error per layered gate (EPLG) and CLOPSh — to fully encapsulate the performance of 100+ qubit processors powering this utility-scale era.

As we continue scaling up quantum processors, it’s becoming clear that we need more than just quantum volume to fully encapsulate the performance of utility-scale quantum computers. Therefore, we are debuting a new metric to benchmark our processors, called layer fidelity,1 and re-doing how we calculate CLOPS to sync with layer fidelity.

Until now, we have been mainly benchmarking our processors using a quantity known as Quantum Volume.2 If a processor has a Quantum Volume of 2n, it means that the device is likely to produce the right output of a square quantum circuit on some subset of n qubits with n layers of random two-qubit gates. The Quantum Volume number is meant to represent the complexity of the computational space that the circuit can access. So, if eight of a processor’s qubits are stable enough to consistently return the correct values for a circuit with eight layers worth of gates, then the Quantum Volume is 28 or 256.

Quantum Volume is still the best way to make sure we do not game the systems for understanding crosstalk, errors, etc. But we always knew that we would need to find additional benchmarking metrics once we began releasing larger systems. For small volumes, Quantum Volume only samples a tiny part of the system. Quantum Volume spotlights a handful of the device’s best qubits, without talking holistically about the average performance across the system.

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