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Research PaperResearchia:202604.15015

Measuring what matters: A scalable framework for application-level quantum benchmarking

Willie Aboumrad

Abstract

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metrics. In this work, we present a scalable framework for application-level quantum benchmarking that is designed to support internal system evaluation and cross-platform comparison across technology providers. Our framework is guided by a set of core principles, including measurability, simplicity, scalability, and extens...

Submitted: April 15, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metrics. In this work, we present a scalable framework for application-level quantum benchmarking that is designed to support internal system evaluation and cross-platform comparison across technology providers. Our framework is guided by a set of core principles, including measurability, simplicity, scalability, and extensibility. We present 13 benchmark families that reflect realistic workloads across multiple domains. This enables the systematic evaluation of the quality of solutions, the total execution time, total used energy, as well as Time-to-Solution. The benchmarks are designed to be reproducible, interpretable across stakeholder groups, and adaptable to evolving system capabilities. The framework aims to bridge the gap between low-level performance metrics and real-world value, providing a unified approach to assessing quantum systems. The resulting benchmarks support development and validation and contribute to the foundation of industry-wide benchmarking standards.


Source: arXiv:2604.11781v1 - http://arxiv.org/abs/2604.11781v1 PDF: https://arxiv.org/pdf/2604.11781v1 Original Link: http://arxiv.org/abs/2604.11781v1

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Date:
Apr 15, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
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