Evaluating System-Level Fidelity with Peaked Random Circuits
Abstract
Quantum computing is progressing beyond experimental prototypes toward cloud-based services and commercially deployed turnkey systems. Evaluating and comparing platform performance requires robust, standardized measures, yet vendors frequently report heterogeneous metrics that are not directly comparable or may not capture whole-system performance. Peaked Random Circuits (PRCs) have recently been proposed as a viable path to demonstrate quantum advantage: a quantum processor can reliably identify a single known high-probability outcome while the circuits' inherent complexity may render classical simulation infeasible. To support robust, system-level evaluation and comparison, we propose a novel benchmarking protocol based on PRCs. By successively running a set of PRCs with varying qubit counts and circuit depths, we quantify a system's ability to identify the deterministic peak despite cumulative noise, gate errors, and connectivity constraints. We demonstrate the benchmark experimentally on IQM's superconducting and AQT's trapped-ion architectures. Our results show that the PRC benchmark provides a holistic yet high-precision view of hardware performance and offers researchers and industry stakeholders a practical and scalable framework for the continuous comparison and evaluation of current and future quantum systems.
Related
- Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems
- Efficient Fidelity Estimation of General Quantum Resource States via Clifford Circuits
- Efficient fidelity simulation of high-rate magic distillation circuits
- Sampling hard circuits with verifiably high fidelity
- Random quantum circuits, chaos and quantum thermalization
BibTeX
@misc{brieger2026evaluating,
title = {{Evaluating System-Level Fidelity with Peaked Random Circuits}},
author = {Martin Brieger and Florian Krötz and Minh Chung and Dieter Kranzlmüller},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2605.25983},
eprint = {2605.25983},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.25983},
}
RIS
TY - UNPB
TI - Evaluating System-Level Fidelity with Peaked Random Circuits
AU - Martin Brieger
AU - Florian Krötz
AU - Minh Chung
AU - Dieter Kranzlmüller
PY - 2026
DA - 2026/09/11
PB - arXiv
DO - 10.48550/arxiv.2605.25983
UR - https://arxiv.org/abs/2605.25983
AB - Quantum computing is progressing beyond experimental prototypes toward cloud-based services and commercially deployed turnkey systems. Evaluating and comparing platform performance requires robust, standardized measures, yet vendors frequently report heterogeneous metrics that are not directly comparable or may not capture whole-system performance. Peaked Random Circuits (PRCs) have recently been proposed as a viable path to demonstrate quantum advantage: a quantum processor can reliably identify a single known high-probability outcome while the circuits' inherent complexity may render classical simulation infeasible. To support robust, system-level evaluation and comparison, we propose a novel benchmarking protocol based on PRCs. By successively running a set of PRCs with varying qubit counts and circuit depths, we quantify a system's ability to identify the deterministic peak despite cumulative noise, gate errors, and connectivity constraints. We demonstrate the benchmark experimentally on IQM's superconducting and AQT's trapped-ion architectures. Our results show that the PRC benchmark provides a holistic yet high-precision view of hardware performance and offers researchers and industry stakeholders a practical and scalable framework for the continuous comparison and evaluation of current and future quantum systems.
ER -