Preprint

FZJ-2025-02941

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Performance-centric roadmap for building a superconducting quantum computer

Barends, R.FZJ* ; Wilhelm-Mauch, F. (Corresponding author)FZJ*

2025
arXiv

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Please use a persistent id in citations: doi:10.48550/arXiv.2506.23178

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.

Keyword(s): Quantum Physics (quant-ph) ; FOS: Physical sciences

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Contributing Institute(s):

1. Quantum Computing Analytics (PGI-12)
2. Quantum Computing (PGI-13)

Research Program(s):

1. 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) (POF4-522)
2. BMBF 13N16149 - QSolid - Quantencomputer im Festkörper (BMBF-13N16149) (BMBF-13N16149)

Appears in the scientific report 2025

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