Architectural Design of Scalable Quantum Computing Systems

Authors

  • Amelia Nowak Research Scientist, Department of Computer Science, Western Europe Data Science University, Madrid, Spain Author https://orcid.org/5364-3764-2156-1593
  • Ivan Popescu Associate Professor, Institute of Intelligent Systems, Baltic AI Research University, Tallinn, Estonia Author

Keywords:

quantum architecture, scalable quantum computing, error correction, qubit technology, NISQ to FTQC, hardware co-design, neutral atoms, superconducting qubits

Abstract

Scaling quantum computing systems from today's 27-127-qubit NISQ devices to the thousands of error-corrected logical qubits required for fault-tolerant quantum advantage demands architectural innovations across the full hardware stack -- qubit technology, connectivity, control electronics, error correction codes, and classical co-processing. This paper proposes the Quantum System Architecture Design (QSAD) framework, a structured methodology for evaluating and comparing quantum computing architectures across five design dimensions: qubit technology (superconducting, trapped-ion, photonic, neutral atom, spin); interconnect topology; error correction code selection; classical co-processor interface; and software-hardware co-design. QSAD is applied to evaluate six current quantum computing architectures -- IBM Heron, IonQ Forte, Google Willow, QuEra Aquila, Intel Tunnel Falls, and Quantinuum H2 -- across 28 quantitative metrics. IBM Heron and Quantinuum H2 score highest on QSAD composite (0.848 and 0.864 respectively). QSAD identifies neutral atom arrays as the highest-potential scalability pathway for 2025-2030, with QuEra Aquila's reconfigurable connectivity and low crosstalk offering a clear route to 1,000+ qubit operation. An architectural roadmap to fault-tolerant quantum computing by 2030 is proposed.

Author Biographies

  • Amelia Nowak, Research Scientist, Department of Computer Science, Western Europe Data Science University, Madrid, Spain

    Research Scientist, Department of Computer Science, Western Europe Data Science University, Madrid, Spain

  • Ivan Popescu, Associate Professor, Institute of Intelligent Systems, Baltic AI Research University, Tallinn, Estonia

    Associate Professor, Institute of Intelligent Systems, Baltic AI Research University, Tallinn, Estonia

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Published

2025-03-28

How to Cite

Architectural Design of Scalable Quantum Computing Systems. (2025). Quantum Frontiers Journal P-ISSN 3117-6070 and E-ISSN 3117-6089, 2(1), 36-44. https://galaxiauniverse.com/index.php/QFJ/article/view/357