ECCentric: An Empirical Analysis of Quantum Error Correction Codes

• URL: http://arxiv.org/abs/2511.01062v1
• Date: Sun, 02 Nov 2025 20:01:43 GMT
• Title: ECCentric: An Empirical Analysis of Quantum Error Correction Codes
• Authors: Aleksandra Świerkowska, Jannik Pflieger, Emmanouil Giortamis, Pramod Bhatotia,
• Abstract summary: We introduce ECCentric, an end-to-end benchmarking framework for evaluating quantum error correction codes.<n>We conduct the first systematic benchmarking of major QEC code families against realistic, mid-term quantum device parameters.<n>Our findings suggest that trapped-ion architectures with qubit shuttling are the most promising near-term platforms.
• Score: 40.10865338207471
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum error correction (QEC) is essential for building scalable quantum computers, but a lack of systematic, end-to-end evaluation methods makes it difficult to assess how different QEC codes perform under realistic conditions. The vast diversity of codes, an expansive experimental search space, and the absence of a standardized framework prevent a thorough, holistic analysis. To address this, we introduce ECCentric, an end-to-end benchmarking framework designed to systematically evaluate QEC codes across the full quantum computing stack. ECCentric is designed to be modular, extensible, and general, allowing for a comprehensive analysis of QEC code families under varying hardware topologies, noise models, and compilation strategies. Using ECCentric, we conduct the first systematic benchmarking of major QEC code families against realistic, mid-term quantum device parameters. Our empirical analysis reveals that intra-QPU execution significantly outperforms distributed methods, that qubit connectivity is a far more critical factor for reducing logical errors than increasing code distance, and that compiler overhead remains a major source of error. Furthermore, our findings suggest that trapped-ion architectures with qubit shuttling are the most promising near-term platforms and that on noisy devices, a strategic and selective application of QEC is necessary to avoid introducing more errors than are corrected. This study provides crucial, actionable insights for both hardware designers and practitioners, guiding the development of fault-tolerant quantum systems.

Related papers

• AQER: a scalable and efficient data loader for digital quantum computers [62.40228216126285]
  We develop AQER, a scalable AQL method that constructs the loading circuit by systematically reducing entanglement in target states.<n>We conduct systematic experiments to evaluate the effectiveness of AQER, using synthetic datasets, classical image and language datasets, and a quantum many-body state datasets with up to 50 qubits.
  arXiv  Detail & Related papers  (2026-02-02T14:39:42Z)
• Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
  CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
  arXiv  Detail & Related papers  (2026-01-10T02:36:03Z)
• Bosonic quantum computing with near-term devices and beyond [0.0]
  This thesis investigates scalable fault-tolerant quantum computation.<n>We develop bosonic quantum codes, quantum LDPC codes, and decoding protocols that connect continuous-variable and discrete-variable error correction.
  arXiv  Detail & Related papers  (2025-12-17T04:01:54Z)
• Hierarchical Qubit-Merging Transformer for Quantum Error Correction [8.328728010370634]
  A quantum error correction scheme must effectively resolve physical errors to protect logical information.<n>We propose the Hierarchical Qubit-Merging Transformer (HQMT), a novel and general decoding framework.<n>HQMT achieves substantially lower logical error rates for surface codes by integrating a dedicated qubit-merging layer.
  arXiv  Detail & Related papers  (2025-10-13T16:31:46Z)
• Compilation-informed probabilistic quantum error cancellation [2.079863206645103]
  We introduce a quantum error mitigation (QEM) scheme against both compilation errors and logical-gate noise that is circuit-, QEC code-, and compiler-agnostic.<n>It features maximal circuit size and QEC code-distance both independent of the target precision, in contrast to strategies based on QEC alone.<n>Our method significantly reduces quantum resource requirements for high-precision estimations, offering a practical route towards fault-tolerant quantum computation with precision-independent overheads.
  arXiv  Detail & Related papers  (2025-08-27T18:00:10Z)
• Formal Verification of Variational Quantum Circuits [44.06507276521908]
  Variational quantum circuits (VQCs) are a central component of many quantum machine learning algorithms.<n>We present the first in-depth theoretical and practical study of the formal verification problem for VQCs.
  arXiv  Detail & Related papers  (2025-07-14T12:28:32Z)
• 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)
• Fault-tolerant logical state construction based on cavity-QED network [0.196629787330046]
  We propose and evaluate a scalable and practical architecture with a cavity-quantum-electrodynamics (CQED) network.<n>Our architecture takes advantage of the stability of neutral atoms and the flexibility of a CQED network.
  arXiv  Detail & Related papers  (2025-03-14T15:26:29Z)
• Comparative study of quantum error correction strategies for the heavy-hexagonal lattice [41.94295877935867]
  Topological quantum error correction is a milestone in the scaling roadmap of quantum computers.<n>The square-lattice surface code has become the workhorse to address this challenge.<n>In some platforms, however, the connectivities are kept even lower in order to minimise gate errors.
  arXiv  Detail & Related papers  (2024-02-03T15:28:27Z)
• Fault-tolerant quantum architectures based on erasure qubits [49.227671756557946]
  We exploit the idea of erasure qubits, relying on an efficient conversion of the dominant noise into erasures at known locations. We propose and optimize QEC schemes based on erasure qubits and the recently-introduced Floquet codes. Our results demonstrate that, despite being slightly more complex, QEC schemes based on erasure qubits can significantly outperform standard approaches.
  arXiv  Detail & Related papers  (2023-12-21T17:40:18Z)
• QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Hardware Architectures [14.785334649858498]
  Quantum Error Correction (QEC) codes are essential for achieving fault-tolerant quantum computing. Current approaches either underutilize QEC circuit features or focus on manual designs tailored to specific codes and architectures. We introduce QECC- Synth, an automated compiler for QEC code implementation that addresses these challenges.
  arXiv  Detail & Related papers  (2023-08-12T01:09:20Z)
• Deep Quantum Error Correction [73.54643419792453]
  Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing. In this work, we efficiently train novel emphend-to-end deep quantum error decoders. The proposed method demonstrates the power of neural decoders for QECC by achieving state-of-the-art accuracy.
  arXiv  Detail & Related papers  (2023-01-27T08:16:26Z)

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.