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@ARTICLE{Barends:1043633,
author = {Barends, R. and Wilhelm-Mauch, Frank},
title = {{P}erformance-centric roadmap for building a
superconducting quantum computer},
journal = {Quantum Physics},
publisher = {arXiv},
reportid = {FZJ-2025-02941},
year = {2025},
abstract = {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.},
keywords = {Quantum Physics (quant-ph) (Other) / FOS: Physical sciences
(Other)},
cin = {PGI-12 / PGI-13},
cid = {I:(DE-Juel1)PGI-12-20200716 / I:(DE-Juel1)PGI-13-20210701},
pnm = {5221 - Advanced Solid-State Qubits and Qubit Systems
(POF4-522) / BMBF 13N16149 - QSolid - Quantencomputer im
Festkörper (BMBF-13N16149)},
pid = {G:(DE-HGF)POF4-5221 / G:(DE-Juel1)BMBF-13N16149},
typ = {PUB:(DE-HGF)25},
doi = {10.48550/arXiv.2506.23178},
url = {https://juser.fz-juelich.de/record/1043633},
}