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Trapped Ion Quantum Computing Superconducting Qubits Quantum Foundations

Benchmarking Quantum Computers via Protocols - Comparing Superconducting and Ion-Trap Quantum Technology

arXiv
Authors: Nitay Mayo, Tal Mor, Yossi Weinstein

Year

2026

Paper ID

38569

Status

Preprint

Abstract Read

~2 min

Abstract Words

187

Citations

0

Abstract

Superconducting and Ion-Trap quantum architectures are common in the current landscape of the quantum computing field, each with distinct characteristics and operational constraints. Understanding and measuring the underlying quantumness of these devices is essential for assessing their readiness for practical applications and guiding future progress and research. Building on earlier work (Meirom, Mor, Weinstein Arxiv 2505.12441), we utilize a benchmarking strategy applicable for comparing these two architectures by measuring "quantumness" directly on optimal sub-chips. Distinct from existing metrics, our approach employs rigorous binary fidelity thresholds derived from the classical limits of state transfer. This enable us to definitively establish quantum advantage of a designated sub-region. We apply this quality assurance methodology to industry leading platforms from both technologies. This comparison provides a protocol-based evaluation of quantumness advantage, revealing not only the strengths and weaknesses of each tested chip and its sub-chips but also offering a common language for their assessment. By abstracting away technical differences in the final result, we demonstrate a benchmarking strategy that bridges the gap between disparate quantum-circuit technologies, enabling fair performance comparisons and establishing a critical foundation for evaluating future claims of quantum advantage.

Why This Paper Matters

  • This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Superconducting and Ion-Trap quantum architectures are common in the current landscape of the quantum computing field, each with distinct characteristics and operational...

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