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Benchmarking of quantum processors with random circuits

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arxiv 1806.02736 v1 pith:DT64WZ73 submitted 2018-06-07 quant-ph

classification quant-ph
keywords quantumqubitbenchmarkingcircuitsdescriptiondevicesdifferentimportant
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum processors with sizes in the 10-100 qubit range are now increasingly common. However, with increased size comes increased complexity for benchmarking. The effectiveness of a given device may vary greatly between different tasks, and will not always be easy to predict from single and two qubit gate fidelities. For this reason, it is important to assess processor quality for a range of important tasks. In this work we propose and implement tests based on random quantum circuits. These are used to evaluate multiple different superconducting qubit devices, with sizes from 5 to 19 qubits, from two hardware manufacturers: IBM Research and Rigetti. The data is analyzed to give a quantitive description of how the devices perform. We also describe how it can be used for a qualititive description accessible to the layperson, by being played as a game.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. QPU-scale randomized benchmarking via Bell-pair injection

    quant-ph 2026-06 unverdicted novelty 6.0 of 10

    MQA adds structured entangling layers to MRB circuits to measure correlation dynamics via mutual information and locate critical depths where error mitigation fails on large QPUs.

  2. Citizen Science Games on the Timeline of Quantum Games

    quant-ph 2025-02 accept novelty 4.0 of 10

    A review of citizen science quantum games that attributes the field's development to serious game use, quantum computer evolution, and Quantum Game Jams.

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