Quantum Brain
← Back to papers

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

Nitay Mayo, Tal Mor, Yossi Weinstein·March 28, 2026
Quantum Physicscs.DCEmerging Tech

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

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.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.