001     1050252
005     20260107202519.0
024 7 _ |a 10.48550/ARXIV.2512.19653
|2 doi
037 _ _ |a FZJ-2026-00064
088 _ _ |a 2512.19653
|2 Other
100 1 _ |a Zimborás, Zoltán
|0 P:(DE-HGF)0
|b 0
245 _ _ |a The EU Quantum Flagship's Key Performance Indicators for Quantum Computing
260 _ _ |c 2025
|b arXiv
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1767812212_11037
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a 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.
536 _ _ |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522)
|0 G:(DE-HGF)POF4-5221
|c POF4-522
|f POF IV
|x 0
536 _ _ |a OpenSuperQPlus100 - Open Superconducting Quantum Computers (OpenSuperQPlus) (101113946)
|0 G:(EU-Grant)101113946
|c 101113946
|f HORIZON-CL4-2022-QUANTUM-01-SGA
|x 1
536 _ _ |a SPINUS - Spin based quantum computer and simulator (101135699)
|0 G:(EU-Grant)101135699
|c 101135699
|f HORIZON_HORIZON-CL4-2023-DIGITAL-EMERGING-01-41
|x 2
536 _ _ |a MILLENION - Modular Industrial Large-scaLE quaNtum computing with trapped IONs (101080097)
|0 G:(EU-Grant)101080097
|c 101080097
|f HORIZON-CL4-2021-DIGITAL-EMERGING-02
|x 3
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Quantum Physics (quant-ph)
|2 Other
650 _ 7 |a FOS: Physical sciences
|2 Other
700 1 _ |a Portik, Attila
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Aguirre, David
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Peña, Rubén
|b 3
700 1 _ |a Svastits, Domonkos
|b 4
700 1 _ |a Pályi, András
|b 5
700 1 _ |a Márton, Áron
|0 P:(DE-Juel1)206640
|b 6
|u fzj
700 1 _ |a Asbóth, János K.
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Kockum, Anton Frisk
|b 8
700 1 _ |a Sanz, Mikel
|b 9
700 1 _ |a Kálmán, Orsolya
|b 10
700 1 _ |a Monz, Thomas
|b 11
700 1 _ |a Wilhelm-Mauch, Frank
|0 P:(DE-Juel1)184630
|b 12
|u fzj
773 _ _ |a 10.48550/ARXIV.2512.19653
909 C O |o oai:juser.fz-juelich.de:1050252
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)206640
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 12
|6 P:(DE-Juel1)184630
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-522
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Quantum Computing
|9 G:(DE-HGF)POF4-5221
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-12-20200716
|k PGI-12
|l Quantum Computing Analytics
|x 0
920 1 _ |0 I:(DE-Juel1)PGI-2-20110106
|k PGI-2
|l Theoretische Nanoelektronik
|x 1
980 _ _ |a preprint
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-12-20200716
980 _ _ |a I:(DE-Juel1)PGI-2-20110106
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21