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Quantum Foundations
The EU Quantum Flagship's Key Performance Indicators for Quantum Computing
arXiv
Authors: Zoltán Zimborás, Attila Portik, David Aguirre, Rubén Peña, Domonkos Svastits, András Pályi, Áron Márton, János K. Asbóth, Anton Frisk Kockum, Mikel Sanz, Orsolya Kálmán, Thomas Monz, Frank Wilhelm-Mauch
Year
2025
Paper ID
36382
Status
Preprint
Abstract Read
~2 min
Abstract Words
167
Citations
N/A
Abstract
As quantum processors continue to scale in size and complexity, the need for well-defined, reproducible, and technology-agnostic performance metrics becomes increasingly critical. Here we present a suite of scalable quantum computing benchmarks developed as key performance indicators (KPIs) within the EU Quantum Flagship. These proposed benchmarks are designed to assess holistic system performance rather than isolated components, and to remain applicable across both noisy intermediate-scale quantum (NISQ) devices and future fault-tolerant architectures. We introduce four core benchmarks addressing complementary aspects of quantum computing capability: large multi-qubit circuit execution via a Clifford Volume benchmark, scalable multipartite entanglement generation through GHZ-state preparation, a benchmark based on the application of Shor's period-finding subroutine to simple functions, and a protocol quantifying the benefit of quantum error correction using Bell states. Each benchmark is accompanied by clearly specified protocols, reporting standards, and scalable evaluation methods. Together, these KPIs provide a coherent framework for transparent and fair performance assessment across quantum hardware platforms and for tracking progress late-NISQ toward early fault-tolerant quantum computation.
Why This Paper Matters
- This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- As quantum processors continue to scale in size and complexity, the need for well-defined, reproducible, and technology-agnostic performance metrics becomes increasingly critical.
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