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GALIC: Hybrid Multi-Qubitwise Pauli Grouping for Quantum Computing Measurement

ORAL

Abstract

Observable estimation is a core primitive in NISQ-era algorithms. Two primary grouping schemes for simultaneous Pauli measurements have been proposed: fully commutativity (FC) and qubit-wise commutativity (QWC), with no compelling means of interpolation. In this work, we propose a generalized framework for designing and analyzing context-aware hybrid FC/QWC commutativity relations. We use our framework to propose a noise-and-connectivity-aware grouping strategy: Generalized backend-Aware pauLI Commutation (GALIC). We demonstrate how GALIC interpolates between FC and QWC, maintaining estimator accuracy in Hamiltonian estimation while lowering variance by an average of 20% compared to QWC. We also explore the design space of near-term quantum devices using the GALIC framework, specifically comparing device noise levels and connectivity. We find that error suppression has a more than 13x larger impact on device-aware estimator variance than qubit connectivity with even larger correlation differences in estimator biases.

Publication: arXiv:2409.00576

Presenters

  • Chenxu Liu

    Pacific Northwest National Laboratory (PNNL)

Authors

  • Chenxu Liu

    Pacific Northwest National Laboratory (PNNL)

  • Matthew X Burns

    Pacific Northwest National Laboratory (PNNL); University of Rochester

  • Samuel A Stein

    Pacific Northwest National Laboratory (PNNL)

  • Bo Peng

    Pacific Northwest National Laboratory (PNNL)

  • Karol Kowalski

    Pacific Northwest National Laboratory (PNNL)

  • Ang Li

    Pacific Northwest National Laboratory (PNNL)