Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware

• URL: http://arxiv.org/abs/2608.28535v1
• Date: Fri, 28 Aug 2026 17:10:09 GMT
• Title: Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware
• Abstract summary: We experimentally study error mitigation and finite-shot sampling on superconducting quantum hardware under a constrained execution budget.<n>The study combines calibration-aware qubit selection, circuit-depth scaling, zero-noise extrapolation, dynamical decoupling, readout-error mitigation, and repeated-shot estimation on an IBM Quantum processor.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We experimentally study error mitigation and finite-shot sampling on superconducting quantum hardware under a constrained execution budget. The study combines calibration-aware qubit selection, circuit-depth scaling, zero-noise extrapolation, dynamical decoupling, readout-error mitigation, and repeated-shot estimation on an IBM Quantum processor. Experiments are organized across ideal simulation, noise-model simulation, and physical-device execution to separate sampling uncertainty from device-induced error. We investigate how mitigation performance changes with circuit depth, effective noise scale, qubit connectivity, and measurement budget, and quantify accuracy using expectation-value error, mean-squared error, statistical uncertainty, and mitigation gain. A fixed hardware-execution budget is used to evaluate shot allocation strategies and repeated measurements without relying on unlimited sampling. The resulting analysis provides a hardware-aware characterization of when mitigation improves expectation-value estimation and when finite-shot fluctuations offset the benefit of additional mitigation overhead. The implementation uses contemporary Qiskit and IBM Quantum Runtime workflows and is designed to provide reproducible experimental evidence for error-mitigation studies on current quantum processors.

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