Benchmarking quantum co-processors in an application-centric, hardware-agnostic and scalable way

• URL: http://arxiv.org/abs/2102.12973v2
• Date: Mon, 26 Jul 2021 07:08:17 GMT
• Title: Benchmarking quantum co-processors in an application-centric, hardware-agnostic and scalable way
• Authors: Simon Martiel, Thomas Ayral, Cyril Allouche
• Abstract summary: We introduce a new benchmark, dubbed Atos Q-score (TM) The Q-score measures the maximum number of qubits that can be used effectively to solve the MaxCut optimization problem. We provide an open-source implementation of Q-score that makes it easy to compute the Q-score of any quantum hardware.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing protocols for benchmarking current quantum co-processors fail to meet the usual standards for assessing the performance of High-Performance-Computing platforms. After a synthetic review of these protocols -- whether at the gate, circuit or application level -- we introduce a new benchmark, dubbed Atos Q-score (TM), 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. We give a robust definition of the notion of effective performance by introducing an improved approximation ratio based on the scaling of random and optimal algorithms. We illustrate the behavior of Q-score using perfect and noisy simulations of quantum processors. Finally, we 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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