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| 001 | 1043633 | ||
| 005 | 20250717075654.0 | ||
| 024 | 7 | _ | |2 doi |a 10.48550/arXiv.2506.23178 |
| 037 | _ | _ | |a FZJ-2025-02941 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-Juel1)190190 |a Barends, R. |b 0 |u fzj |
| 245 | _ | _ | |a Performance-centric roadmap for building a superconducting quantum computer |
| 260 | _ | _ | |b arXiv |c 2025 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |s 1751459907_23394 |
| 336 | 7 | _ | |2 ORCID |a WORKING_PAPER |
| 336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
| 336 | 7 | _ | |2 DRIVER |a preprint |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
| 520 | _ | _ | |a One of the outstanding challenges in contemporary science and technology is building a quantum computer that is useful in applications. By starting from an estimate of the algorithm success rate, we can explicitly connect gate fidelity to quantum system size targets and define a quantitative roadmap that maximizes performance while avoiding distractions. We identify four distinct phases for quantum hardware and enabling technology development. The aim is to improve performance as we scale and increase the algorithmic complexity the quantum hardware is capable of running, the algorithmic radius, towards a point that sets us up for quantum advantage with deep noisy intermediate-scale quantum computing (NISQ) as well as building a large-scale error-corrected quantum computer (QEC). Our hope is that this document contributes to shaping the discussion about the future of the field. |
| 536 | _ | _ | |0 G:(DE-HGF)POF4-5221 |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) |c POF4-522 |f POF IV |x 0 |
| 536 | _ | _ | |0 G:(DE-Juel1)BMBF-13N16149 |a BMBF 13N16149 - QSolid - Quantencomputer im Festkörper (BMBF-13N16149) |c BMBF-13N16149 |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |2 Other |a Quantum Physics (quant-ph) |
| 650 | _ | 7 | |2 Other |a FOS: Physical sciences |
| 700 | 1 | _ | |0 P:(DE-Juel1)184630 |a Wilhelm-Mauch, Frank |b 1 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.48550/arXiv.2506.23178 |t Quantum Physics |y 2025 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1043633 |p VDB |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)190190 |a Forschungszentrum Jülich |b 0 |k FZJ |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)184630 |a Forschungszentrum Jülich |b 1 |k FZJ |
| 913 | 1 | _ | |0 G:(DE-HGF)POF4-522 |1 G:(DE-HGF)POF4-520 |2 G:(DE-HGF)POF4-500 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |9 G:(DE-HGF)POF4-5221 |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |v Quantum Computing |x 0 |
| 914 | 1 | _ | |y 2025 |
| 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-13-20210701 |k PGI-13 |l Quantum Computing |x 1 |
| 980 | _ | _ | |a preprint |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-12-20200716 |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-13-20210701 |
| 980 | _ | _ | |a UNRESTRICTED |
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