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An entanglement-based volumetric benchmark for near-term quantum hardware

ORAL

Abstract

We introduce a volumetric benchmark for near-term quantum platforms based on the generation and verification of genuine entanglement across n-qubits using graph states and direct stabilizer measurements. Our benchmark evaluates the robustness of multipartite and bipartite n-qubit entanglement with respect to many sources of hardware noise: qubit decoherence, CNOT and swap gate noise, and readout error. We demonstrate our benchmark on multiple superconducting qubit platforms available from IBM (ibmq_belem, ibmq_toronto, ibmq_guadalupe and ibmq_jakarta). Subsets of n < 10 qubits are used for graph state preparation and stabilizer measurement. Evaluation of genuine and biseparable entanglement witnesses we report observations of 5 qubit genuine entanglement, but robust multipartite entanglement is difficult to generate for n > 4 qubits and identify two-qubit gate noise as strongly correlated with the quality of genuine multipartite entanglement.

Presenters

  • Kathleen Hamilton

    Oak Ridge National Laboratory

Authors

  • Kathleen Hamilton

    Oak Ridge National Laboratory

  • Nouamane Laanait

    Carelon Digital Platforms

  • Akhil Francis

    North Carolina State University

  • Sophia Economou

    Virginia Tech, VirginiaTech

  • George Barron

    Virginia Tech

  • Kubra Yeter-Aydeniz

    Mitre Corp, MITRE

  • Titus Morris

    Oak Ridge National Laboratory

  • Harrison Cooley

    Georgetown University

  • Muhun Kang

    Cornell University

  • Raphael Pooser

    ORNL, Oak Ridge National Laboratory