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

• URL: http://arxiv.org/abs/2603.27397v1
• Date: Sat, 28 Mar 2026 20:29:23 GMT
• Title: Benchmarking Quantum Computers via Protocols -- Comparing Superconducting and Ion-Trap Quantum Technology
• Abstract summary: Superconducting and Ion-Trap quantum architectures are common in the current landscape of the quantum computing field.<n>We utilize a benchmarking strategy applicable for comparing these two architectures by measuring "quantumness" directly on optimal sub-chips.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

Related papers

• Benchmarking Quantum Computers via Protocols, Comparing IBM's Heron vs IBM's Eagle [0.0]
  We apply and extend a protocol-based benchmarking methodology that utilizes well-defined quantumness thresholds.<n>We compare two generations of IBM quantum computers: the older Eagle architecture and the newer Heron architecture.<n>Our findings reveal the genuine operational strengths and limitations of these devices, demonstrating substantial performance improvements in the newer Heron generation.
  arXiv  Detail & Related papers  (2026-03-04T18:41:19Z)
• Quantum Computing -- Strategic Recommendations for the Industry [4.489537192567809]
  This paper synthesizes hardware trajectories from different quantum architectures and providers.<n>It assesses their maturity and potential for real-world use cases under a standardized traffic-light evaluation framework.<n>The core of the presented work are the use case evaluations in the domains of optimization problems and machine learning applications.
  arXiv  Detail & Related papers  (2026-01-13T13:58:42Z)
• Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors [64.50565018996328]
  We introduce the concept of predictive surrogates, designed to emulate the mean-value behavior of a given quantum processor with provably computational efficiency.<n>We use these surrogates to emulate a quantum processor with up to 20 programmable superconducting qubits, enabling efficient pre-training of variational quantum eigensolvers.<n> Experimental results reveal that the predictive surrogates not only reduce measurement overhead by orders of magnitude, but can also surpass the performance of conventional, quantum-resource-intensive approaches.
  arXiv  Detail & Related papers  (2025-07-23T12:51:03Z)
• Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications [59.0413662882849]
  Quantum computing is poised to redefine the algorithmic foundations of communication systems.<n>This article outlines the fundamentals of quantum computing in a style familiar to the communications society.<n>We highlight a mathematical harmony between quantum and wireless systems, which makes the topic more enticing to wireless researchers.
  arXiv  Detail & Related papers  (2025-06-25T22:25:47Z)
• VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning [50.95799256262098]
  Variational quantum circuits (VQCs) hold promise for quantum machine learning but face challenges in expressivity, trainability, and noise resilience.<n>We propose VQC-MLPNet, a hybrid architecture where a VQC generates the first-layer weights of a classical multilayer perceptron during training, while inference is performed entirely classically.
  arXiv  Detail & Related papers  (2025-06-12T01:38:15Z)
• Benchmarking Emerging Cavity-Mediated Quantum Interconnect Technologies for Modular Quantum Computers [1.0653685964361501]
  This work presents a comparative analysis of the cavity-mediated interconnect technologies according to a defined figure of merit. We identify the configurations related to the cavity and atomic decay rates as well as the qubit-cavity coupling strength that meet the efficiency thresholds.
  arXiv  Detail & Related papers  (2024-07-22T14:11:20Z)
• Benchmarking Quantum Computers: Towards a Standard Performance Evaluation Approach [0.7349727826230863]
  We review the most important aspects of both classical processor benchmarks and the metrics comprising them.<n>We analyze the intrinsic properties that characterize the paradigm of quantum computing.<n>We propose general guidelines for quantum benchmarking.
  arXiv  Detail & Related papers  (2024-07-15T17:39:59Z)
• A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity [50.387179833629254]
  We introduce a collaborative classical-quantum architecture called co-TenQu. Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting. It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
  arXiv  Detail & Related papers  (2024-02-23T14:09:41Z)
• Enhancing Quantum Annealing in Digital-Analog Quantum Computing [0.0]
  Digital-analog quantum computing (DAQC) offers a promising approach to addressing the challenges of building a practical quantum computer. We propose an algorithm designed to enhance the performance of quantum annealing. This study provides an example of how processing quantum data using a quantum circuit can outperform classical data processing, which discards quantum information.
  arXiv  Detail & Related papers  (2023-06-03T09:16:15Z)
• Decomposition of Matrix Product States into Shallow Quantum Circuits [62.5210028594015]
  tensor network (TN) algorithms can be mapped to parametrized quantum circuits (PQCs) We propose a new protocol for approximating TN states using realistic quantum circuits. Our results reveal one particular protocol, involving sequential growth and optimization of the quantum circuit, to outperform all other methods.
  arXiv  Detail & Related papers  (2022-09-01T17:08:41Z)
• Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage [43.3054117987806]
  We introduce a scalable procedure for harnessing classical computing resources to provide pre-optimized initializations for quantum circuits. We show this method significantly improves the trainability and performance of PQCs on a variety of problems. By demonstrating a means of boosting limited quantum resources using classical computers, our approach illustrates the promise of this synergy between quantum and quantum-inspired models in quantum computing.
  arXiv  Detail & Related papers  (2022-08-29T15:24:03Z)
• When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing [75.75419308975746]
  This work proposes a vertical federated learning architecture based on variational quantum circuits to demonstrate the competitive performance of a quantum-enhanced pre-trained BERT model for text classification. Our experiments on intent classification show that our proposed BERT-QTC model attains competitive experimental results in the Snips and ATIS spoken language datasets.
  arXiv  Detail & Related papers  (2022-02-17T09:55:21Z)
• Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
  We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state. In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
  arXiv  Detail & Related papers  (2021-12-27T21:15:35Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.