Existing protocols for benchmarking current quantum co-processors fail to meet the usual standards for assessing the performance of High-Performance-Computing platforms.
This paper introduces a new benchmark, dubbed Atos Q-scoreTM, that is application-centric, hardware-agnostic and scalable to quantum advantage processor sizes and beyond.
The Q-score measures the maximum number of qubits that can be used effectively to solve the MaxCut combinatorial optimization problem with the Quantum Approximate Optimization Algorithm.
They provide a robust definition of the notion of effective performance by introducing an improved approximation ratio based on the scaling of random and optimal algorithms.
They illustrate the behavior of Q-score using perfect and noisy simulations of quantum processors.
Finally, they provide an open-source implementation of Q-score that makes it easy to compute the Q-score of any quantum hardware.
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