Efficient Measurement Error Mitigation with Subsystem-Balanced Pauli Twirling

• URL: http://arxiv.org/abs/2509.17298v1
• Date: Mon, 22 Sep 2025 00:39:32 GMT
• Title: Efficient Measurement Error Mitigation with Subsystem-Balanced Pauli Twirling
• Authors: Xiao-Yue Xu, Chen Ding, Wan-Su Bao,
• Abstract summary: Model-free measurement error mitigation (MEM) is essential for realizing reliable quantum computation.<n>We introduce subsystem-balanced Pauli twirling (SB-PT) that enforces Pauli operator balance on measuring subsystems to selectively suppress measurement noise.<n>This work provides a resource-frugal and experimentally viable path toward high-fidelity measurement in near-term quantum devices.
• Score: 3.0919095220959996
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Measurement error mitigation (MEM) is essential for realizing reliable quantum computation. Model-free measurement error mitigation (MF-MEM) is an important class of MEM methods that employs Pauli twirling-typically with a random twirling set-to convert measurement noise into a state-independent scaling factor, thereby enabling error mitigation through simple calibration. However, such methods face prohibitive sampling overhead, limiting their scalability. To address this, we introduce subsystem-balanced Pauli twirling (SB-PT), a twirling method designed for MF-MEM that enforces Pauli operator balance on measuring subsystems to selectively suppress dominant measurement noise. Theoretically, for a weight-r Pauli observable, SB-PT removes all independent error components using only O[4^r] random circuits, substantially reducing the sampling overhead over conventional Pauli twirling. This efficiency gain is most significant for sparse observables. To extend such resource-efficient mitigation to arbitrary observables, we develop a hardware-efficient measurement transformation framework that converts high-weight Pauli operators into low-weight effective ones via linear-depth circuits. The circuit noise introduced during this transformation is jointly mitigated with native measurement noise using a unified twirling protocol, ensuring robust performance. Extensive numerical simulations demonstrate a greater than 16-fold improvement in sampling efficiency over conventional random twirling, with consistent performance gains across varying system sizes and error regimes. This work provides a resource-frugal and experimentally viable path toward high-fidelity measurement in near-term quantum devices.

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