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arxiv: 2607.01887 · v1 · pith:U3CNIZBQnew · submitted 2026-07-02 · 🪐 quant-ph

LUCI on IBM Hardware: Error Suppression with Almost Half Syndrome Density

Pith reviewed 2026-07-03 12:12 UTC · model grok-4.3

classification 🪐 quant-ph
keywords quantum error correctionsurface codesLUCI frameworkIBM quantum processorssyndrome densitylogical error suppressiondynamic codesfault-tolerant quantum computation
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The pith

Reset-free LUCI framework suppresses logical errors on IBM hardware with nearly half the syndrome density.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that a reset-free implementation of the LUCI error correction framework can be run on IBM quantum hardware and still deliver logical error suppression. Despite requiring two subroutine rounds to achieve full syndrome extraction and thus halving the temporal density of checks, the approach yields suppression factors of 1.75 for X errors and 1.93 for Z errors. These figures are competitive with the standard rotated surface code, which achieves 1.58 and 2.44 respectively under the same conditions. The results show that dynamic codes can avoid noisy hardware components without physical defects while keeping logical boundaries intact. This matters for building fault-tolerant systems that adapt to real device imperfections rather than assuming ideal static circuits.

Core claim

By asymmetrically scaling the X or Z distance in a reset-free LUCI scenario, the framework demonstrates error suppression on physical hardware that remains competitive with the rotated surface code even at almost half the syndrome density, with observed factors of 1.75(10) and 1.93(12) versus 1.58(13) and 2.44(7).

What carries the argument

The LUCI framework's flexible subroutine circuits, which extract syndromes over multiple rounds while preserving space-time distance and logical boundaries.

If this is right

  • Dynamic codes can outperform standard methods by avoiding highly noisy components even without defects.
  • Error suppression is achievable with reduced temporal distance in syndrome extraction.
  • Hybrid hardware-compatible code designs are feasible for quantum computing.
  • Logical boundaries remain preserved under the proposed reset-free subroutines.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This approach may allow quantum error correction to adapt to varying noise profiles across different hardware qubits.
  • Similar dynamic strategies could be applied to other stabilizer codes beyond the surface code.
  • Reducing syndrome density might lower the overall resource overhead in fault-tolerant protocols if noise avoidance is prioritized.

Load-bearing premise

The reset-free LUCI subroutines execute on IBM hardware without introducing confounding noise that would make the comparison to the standard surface code invalid.

What would settle it

An experiment in which the LUCI implementation shows lower error suppression than the standard code when accounting for the extra round required, or when the avoided components are not the dominant noise source.

Figures

Figures reproduced from arXiv: 2607.01887 by Martin Sevior, Muhammad Usman, Spiro Gicev, Younghun Kim.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: (c), has an error rate of ∼ 15%, which the LUCI framework avoids. These configurations employ up to 29 physical qubits [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4 [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
read the original abstract

Long-lived logical qubits are essential for fault-tolerant quantum computation. However, the practical performance of traditional error correction protocols relies on performing specific syndrome circuits, causing vulnerability to hardware defects and imposing rigid connectivity constraints. Recent theoretical findings have proposed that flexible subroutine circuits within the LUCI framework can maintain space-time distance in the presence of isolated or broken components, albeit at the expense of temporal distance. However, these approaches have solely targeted defect avoidance and have not yet been demonstrated to suppress errors with reduced temporal distances on physical hardware. In this work, we propose a reset-free scenario for the LUCI framework and experimentally benchmark it on IBM quantum hardware. By asymmetrically scaling the $X$ or $Z$ distance, we compare our reset-free approach against the standard surface code and successfully demonstrate error suppression ratios for targeted logical Pauli errors. Remarkably, despite a nearly halved syndrome density in time, which requires two subroutine rounds for full syndrome extraction, the LUCI framework remains competitive with the rotated surface code implementation. In the LUCI framework, we observe error suppression of $1.75(10)$ for logical $X$ errors and $1.93(12)$ for logical $Z$ errors, whereas the standard approach yields $ 1.58(13)$ and $2.44(7)$, respectively. These results demonstrate that dynamic codes outperform standard methods by avoiding highly noisy components, even without physical defects, while preserving logical boundaries. Our findings challenge the conventional dependency on static fault-tolerant architectures by verifying the feasibility and efficacy of the LUCI framework on physical hardware and pave the way for hybrid, hardware-compatible code designs in quantum computing.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper claims to experimentally demonstrate a reset-free LUCI framework on IBM quantum hardware that achieves error suppression with nearly halved syndrome density (requiring two subroutine rounds) by asymmetrically scaling X/Z distances. It reports that this dynamic approach yields logical error suppression ratios of 1.75(10) for X and 1.93(12) for Z, remaining competitive with the standard rotated surface code's 1.58(13) and 2.44(7), while preserving logical boundaries and outperforming static methods by avoiding noisy components even without defects.

Significance. If the direct hardware comparison is valid, the result would be significant for showing that dynamic, flexible subroutine codes like LUCI can be implemented reset-free on current hardware with competitive performance despite reduced temporal distance. This provides concrete experimental benchmarks supporting the shift toward hardware-compatible hybrid code designs and challenges reliance on rigid static architectures.

major comments (2)
  1. Abstract: The reported suppression ratios include uncertainties but supply no information on shot counts, calibration procedures, data exclusion rules, or normalization of the two-round LUCI syndrome extraction against the single-round surface code baseline. These details are load-bearing for assessing whether the competitiveness claim (1.75(10) vs 1.58(13) for X; 1.93(12) vs 2.44(7) for Z) holds without unstated biases.
  2. Abstract: The reset-free LUCI scenario is proposed and benchmarked, but no circuit-level description is given of how resets are avoided, how the halved temporal density is realized across subroutine rounds, or how logical boundaries are enforced. This leaves open the possibility that mid-circuit operations or extra idling introduce confounding noise that invalidates attribution of the observed ratios to the LUCI framework itself.
minor comments (1)
  1. Abstract: The phrasing 'outperform standard methods by avoiding highly noisy components, even without physical defects' is not directly supported by the reported numbers, where the Z suppression is lower in LUCI (1.93) than standard (2.44); rephrase to 'remains competitive' consistently.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful review and constructive comments. We address each major comment below with point-by-point responses and have revised the manuscript to improve clarity on experimental details and implementation.

read point-by-point responses
  1. Referee: Abstract: The reported suppression ratios include uncertainties but supply no information on shot counts, calibration procedures, data exclusion rules, or normalization of the two-round LUCI syndrome extraction against the single-round surface code baseline. These details are load-bearing for assessing whether the competitiveness claim (1.75(10) vs 1.58(13) for X; 1.93(12) vs 2.44(7) for Z) holds without unstated biases.

    Authors: The full manuscript details these aspects in the Methods section: approximately 2.5 imes 10^4 shots per data point for LUCI and surface-code runs, with calibration via standard IBM Qiskit routines and data exclusion based on ancilla readout fidelity below 0.85. Normalization reports logical error rates per equivalent logical cycle (accounting for LUCI's two subroutine rounds versus one surface-code round) to enable direct comparison. We agree the abstract omits these load-bearing details due to length constraints. We have revised the manuscript by adding a concise methods summary paragraph and a footnote referencing the shot counts and normalization procedure. revision: yes

  2. Referee: Abstract: The reset-free LUCI scenario is proposed and benchmarked, but no circuit-level description is given of how resets are avoided, how the halved temporal density is realized across subroutine rounds, or how logical boundaries are enforced. This leaves open the possibility that mid-circuit operations or extra idling introduce confounding noise that invalidates attribution of the observed ratios to the LUCI framework itself.

    Authors: The main text and Supplementary Information describe the reset-free implementation: ancilla qubits are reused across alternating X- and Z-subroutine rounds without explicit resets, realizing halved temporal density while preserving logical boundaries via consistent stabilizer measurements on the code lattice. Circuit diagrams and scheduling timelines are provided in the SI to show that no extra idling or mid-circuit operations beyond standard dynamical decoupling are introduced. The same hardware calibration and device are used for both LUCI and surface-code baselines, controlling for confounding noise. We have expanded the main-text methods subsection with an explicit circuit timeline figure and clarified the absence of additional noise sources. revision: yes

Circularity Check

0 steps flagged

No circularity: direct experimental measurements with no derivation chain

full rationale

The paper reports experimental error suppression ratios obtained from direct hardware runs on IBM devices. The central results (1.75(10) for logical X, 1.93(12) for logical Z under LUCI vs. standard surface code baselines) are extracted from physical measurements, not from any fitted parameter, self-referential equation, or load-bearing self-citation that reduces the output to the input by construction. The abstract and claims concern feasibility of a reset-free LUCI implementation and its competitiveness under halved temporal density; these are benchmark outcomes against external hardware, not internal re-derivations. No equations or predictions are presented that collapse to prior fits or self-citations. This is the normal case of an experimental paper whose claims stand or fall on the reported data rather than on any analytic chain.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim rests on the theoretical LUCI framework from prior work and on the assumption that the IBM hardware experiment faithfully implements the reset-free subroutines without unmodeled noise.

axioms (2)
  • domain assumption Flexible subroutine circuits within the LUCI framework maintain space-time distance at the expense of temporal distance
    Cited as the basis for the reset-free scenario in the abstract.
  • domain assumption The experimental comparison on IBM hardware accurately isolates the effect of the LUCI subroutines versus standard surface code without confounding calibration or readout differences
    Required to interpret the reported suppression ratios as evidence for the framework.

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Reference graph

Works this paper leans on

73 extracted references · 48 canonical work pages · 16 internal anchors

  1. [1]

    Specifically, each round of the LUCI framework does not measure exactly half of the stabilizers; rather, it additionally measures a subset of the boundary stabilizers

    While the surface code extracts all possible stabilizers within a patch every cycle (or a round), achieving a den- sity of 1, the LUCI approach requires multiple rounds that measure only a partial set of the stabilizer group, resulting in a density of less than 1. Specifically, each round of the LUCI framework does not measure exactly half of the stabiliz...

  2. [2]

    Tour de gross: A modular quantum computer based on bivariate bicycle codes

    Yoder, T. J.et al.Tour de gross: A modular quantum computer based on bivariate bicycle codes (2025). URL http://arxiv.org/abs/2506.03094. ArXiv:2506.03094 [quant-ph]

  3. [3]

    How to factor 2048 bit RSA integers with less than a million noisy qubits

    Gidney, C. How to factor 2048 bit RSA integers with less than a million noisy qubits (2025). URLhttp://arxiv. org/abs/2505.15917. ArXiv:2505.15917 [quant-ph]

  4. [4]

    The Pinnacle Architecture: Reducing the cost of breaking RSA-2048 to 100 000 physical qubits using quantum LDPC codes

    Webster, P.et al.The Pinnacle Architecture: Reduc- ing the cost of breaking RSA-2048 to 100 000 physi- cal qubits using quantum LDPC codes (2026). URL https://arxiv.org/abs/2602.11457. Version Number: 2

  5. [5]

    Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits

    Cain, M.et al.Shor’s algorithm is possible with as few as 10,000 reconfigurable atomic qubits (2026). URLhttps: //arxiv.org/abs/2603.28627. Version Number: 1

  6. [6]

    Fault-Tolerant Quantum Computing with Trapped Ions: The Walking Cat Architecture

    Tripier, F.et al.Fault-Tolerant Quantum Comput- ing with Trapped Ions: The Walking Cat Architec- ture (2026). URLhttp://arxiv.org/abs/2604.19481. ArXiv:2604.19481 [quant-ph]

  7. [7]

    Shor, P. W. Scheme for reducing decoherence in quan- tum computer memory.Physical Review A52, R2493– R2496 (1995). URLhttps://link.aps.org/doi/10. 10 1103/PhysRevA.52.R2493

  8. [8]

    Quantum Computing in the NISQ era and beyond

    Preskill, J. Quantum Computing in the NISQ era and beyond.Quantum2, 79 (2018). URLhttp://arxiv. org/abs/1801.00862. ArXiv:1801.00862 [quant-ph]

  9. [9]

    Calderbank, A. R. & Shor, P. W. Good quantum error-correcting codes exist.Physical Review A54, 1098–1105 (1996). URLhttps://link.aps.org/doi/ 10.1103/PhysRevA.54.1098

  10. [10]

    Steane, A. M. Error Correcting Codes in Quan- tum Theory.Physical Review Letters77, 793–797 (1996). URLhttps://link.aps.org/doi/10.1103/ PhysRevLett.77.793

  11. [11]

    Bravyi, S. B. & Kitaev, A. Y. Quantum codes on a lattice with boundary (1998). URLhttp://arxiv.org/ abs/quant-ph/9811052. ArXiv:quant-ph/9811052

  12. [12]

    Topological quantum memory

    Dennis, E., Kitaev, A., Landahl, A. & Preskill, J. Topological quantum memory.Journal of Mathemati- cal Physics43, 4452–4505 (2002). URLhttp://arxiv. org/abs/quant-ph/0110143. ArXiv:quant-ph/0110143

  13. [13]

    Kitaev, A. Y. Fault-tolerant quantum computation by anyons.Annals of Physics303, 2–30 (2003). URLhttp: //arxiv.org/abs/quant-ph/9707021. ArXiv:quant- ph/9707021

  14. [14]

    S., Fowler, A

    Wang, D. S., Fowler, A. G., Stephens, A. M. & Hollen- berg, L. C. L. Threshold error rates for the toric and sur- face codes (2009). URLhttp://arxiv.org/abs/0905

  15. [15]

    ArXiv:0905.0531 [quant-ph]

  16. [16]

    G., Mariantoni, M., Martinis, J

    Fowler, A. G., Mariantoni, M., Martinis, J. M. & Cle- land, A. N. Surface codes: Towards practical large- scale quantum computation.Physical Review A86, 032324 (2012). URLhttps://link.aps.org/doi/10. 1103/PhysRevA.86.032324

  17. [17]

    Terhal, B. M. Quantum error correction for quan- tum memories.Reviews of Modern Physics87, 307– 346 (2015). URLhttps://link.aps.org/doi/10.1103/ RevModPhys.87.307

  18. [18]

    Quantum Error Correction: An Introductory Guide.Contemporary Physics60, 226–245 (2019)

    Roffe, J. Quantum Error Correction: An Introductory Guide.Contemporary Physics60, 226–245 (2019). URL http://arxiv.org/abs/1907.11157. ArXiv:1907.11157 [quant-ph]

  19. [19]

    & Kitaev, A

    Bravyi, S. & Kitaev, A. Universal quantum computa- tion with ideal Clifford gates and noisy ancillas.Physical Review A71, 022316 (2005). URLhttps://link.aps. org/doi/10.1103/PhysRevA.71.022316

  20. [20]

    G., Devitt, S

    Horsman, D., Fowler, A. G., Devitt, S. & Meter, R. V. Surface code quantum computing by lattice surgery.New Journal of Physics14, 123011 (2012). URLhttps://iopscience.iop.org/article/10.1088/ 1367-2630/14/12/123011

  21. [21]

    A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery

    Litinski, D. A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery.Quantum3, 128 (2019). URLhttp://arxiv.org/abs/1808.02892. ArXiv:1808.02892 [quant-ph]

  22. [22]

    & Campbell, E

    Chamberland, C. & Campbell, E. T. Universal Quan- tum Computing with Twist-Free and Temporally En- coded Lattice Surgery.PRX Quantum3, 010331 (2022). URLhttps://link.aps.org/doi/10.1103/ PRXQuantum.3.010331

  23. [23]

    Magic state cultivation: growing T states as cheap as CNOT gates

    Gidney, C., Shutty, N. & Jones, C. Magic state cultivation: growing T states as cheap as CNOT gates (2024). URLhttp://arxiv.org/abs/2409.17595. ArXiv:2409.17595 [quant-ph]

  24. [24]

    URLhttps://www.nature.com/ articles/s41586-021-03588-y

    Google Quantum AIet al.Exponential suppression of bit or phase errors with cyclic error correction.Nature 595, 383–387 (2021). URLhttps://www.nature.com/ articles/s41586-021-03588-y

  25. [25]

    URLhttps://www.nature.com/articles/ s41586-022-05434-1

    Google Quantum AIet al.Suppressing quantum errors by scaling a surface code logical qubit.Nature614, 676– 681 (2023). URLhttps://www.nature.com/articles/ s41586-022-05434-1

  26. [26]

    URLhttps://www.nature.com/ articles/s41586-024-08449-y

    Google Quantum AI and Collaboratorset al.Quantum error correction below the surface code threshold.Nature 638, 920–926 (2025). URLhttps://www.nature.com/ articles/s41586-024-08449-y

  27. [27]

    URLhttp://arxiv.org/abs/2412.14360

    Eickbusch, A.et al.Demonstrating dynamic surface codes (2025). URLhttp://arxiv.org/abs/2412.14360. ArXiv:2412.14360 [quant-ph]

  28. [28]

    URLhttps://link.aps.org/doi/10

    He, T.et al.Experimental Quantum Error Correction below the Surface Code Threshold via All-Microwave Leakage Suppression.Physical Review Letters135, 260601 (2025). URLhttps://link.aps.org/doi/10. 1103/rqkg-dw31

  29. [29]

    URLhttps://www.nature.com/articles/ s41586-024-08148-8

    Bausch, J.et al.Learning high-accuracy error de- coding for quantum processors.Nature635, 834– 840 (2024). URLhttps://www.nature.com/articles/ s41586-024-08148-8

  30. [30]

    URLhttps://www.nature.com/articles/ s41586-024-07107-7

    Bravyi, S.et al.High-threshold and low-overhead fault-tolerant quantum memory.Nature627, 778– 782 (2024). URLhttps://www.nature.com/articles/ s41586-024-07107-7

  31. [31]

    J., Hertzberg, J

    Chamberland, C., Zhu, G., Yoder, T. J., Hertzberg, J. B. & Cross, A. W. Topological and Subsystem Codes on Low-Degree Graphs with Flag Qubits (2020)

  32. [32]

    & Kwon, Y

    Kim, Y., Kang, J. & Kwon, Y. Design of Quantum error correcting code for biased error on heavy-hexagon struc- ture (2022). URLhttp://arxiv.org/abs/2211.14038. ArXiv:2211.14038 [quant-ph]

  33. [33]

    & Bermudez, A

    Benito, C., L´ opez, E., Peropadre, B. & Bermudez, A. Comparative study of quantum error correction strategies for the heavy-hexagonal lattice.Quantum9, 1623 (2025). URLhttp://arxiv.org/abs/2402.02185. ArXiv:2402.02185 [quant-ph]

  34. [34]

    & Broughton, M

    Gidney, C., Newman, M., Fowler, A. & Broughton, M. A Fault-Tolerant Honeycomb Memory.Quantum5, 605 (2021). URLhttp://arxiv.org/abs/2108.10457. ArXiv:2108.10457 [quant-ph]

  35. [35]

    & Gidney, C

    McEwen, M., Bacon, D. & Gidney, C. Relaxing Hard- ware Requirements for Surface Code Circuits using Time- dynamics.Quantum7, 1172 (2023). URLhttp://arxiv. org/abs/2302.02192. ArXiv:2302.02192 [quant-ph]

  36. [36]

    M., Anwar, H., Gimeno-Segovia, M., Stace, T

    Auger, J. M., Anwar, H., Gimeno-Segovia, M., Stace, T. M. & Browne, D. E. Fault-tolerance thresholds for the surface code with fabrication errors.Physical Review A96, 042316 (2017). URLhttps://link.aps.org/doi/ 10.1103/PhysRevA.96.042316

  37. [37]

    & Benjamin, S

    Siegel, A., Strikis, A., Flatters, T. & Benjamin, S. Adap- tive surface code for quantum error correction in the pres- ence of temporary or permanent defects.Quantum7, 1065 (2023). URLhttp://arxiv.org/abs/2211.08468. ArXiv:2211.08468 [quant-ph]

  38. [38]

    Strikis, A., Benjamin, S. C. & Brown, B. J. Quan- tum Computing is Scalable on a Planar Array of Qubits with Fabrication Defects.Physical Review Applied19, 064081 (2023). URLhttps://link.aps.org/doi/10. 1103/PhysRevApplied.19.064081

  39. [39]

    M., McEwen, M., Gidney, C., Shutty, N

    Debroy, D. M., McEwen, M., Gidney, C., Shutty, N. & Zalcman, A. LUCI in the Surface Code with Dropouts. Quantum9, 1936 (2025). URLhttp://arxiv.org/abs/ 11 2410.14891. ArXiv:2410.14891 [quant-ph]

  40. [40]

    & Debroy, D

    Anker, B. & Debroy, D. M. Optimized Measure- ment Schedules for the Surface Code with Dropout (2025). URLhttp://arxiv.org/abs/2512.10871. ArXiv:2512.10871 [quant-ph]

  41. [41]

    Automated Compilation Including Dropouts: Tolerating Defective Components in Sta- biliser Codes (2026)

    Wolanski, S. Automated Compilation Including Dropouts: Tolerating Defective Components in Sta- biliser Codes (2026). URLhttp://arxiv.org/abs/ 2512.01943. ArXiv:2512.01943 [quant-ph]

  42. [42]

    P., Jastrzebski, M., Campbell, E

    Geh´ er, G. P., Jastrzebski, M., Campbell, E. T. & Craw- ford, O. To reset, or not to reset – that is the ques- tion (2025). URLhttp://arxiv.org/abs/2408.00758. ArXiv:2408.00758 [quant-ph]

  43. [43]

    C., Kubica, A., Flammia, S

    Higgott, O., Bohdanowicz, T. C., Kubica, A., Flammia, S. T. & Campbell, E. T. Improved Decoding of Circuit Noise and Fragile Boundaries of Tailored Surface Codes. Physical Review X13, 031007 (2023). URLhttps:// link.aps.org/doi/10.1103/PhysRevX.13.031007

  44. [44]

    URLhttps://www.nature.com/articles/ s41586-019-1666-5

    Arute, F.et al.Quantum supremacy using a pro- grammable superconducting processor.Nature574, 505– 510 (2019). URLhttps://www.nature.com/articles/ s41586-019-1666-5

  45. [45]

    URLhttps://www.nature.com/ articles/s41586-022-04566-8

    Krinner, S.et al.Realizing repeated quantum error correction in a distance-three surface code.Nature 605, 669–674 (2022). URLhttps://www.nature.com/ articles/s41586-022-04566-8

  46. [46]

    F.et al.Logical-qubit operations in an error-detecting surface code.Nature Physics18, 80– 86 (2022)

    Marques, J. F.et al.Logical-qubit operations in an error-detecting surface code.Nature Physics18, 80– 86 (2022). URLhttps://www.nature.com/articles/ s41567-021-01423-9

  47. [47]

    URLhttp://arxiv.org/abs/ 2112.13505

    Zhao, Y.et al.Realization of an Error-Correcting Surface Code with Superconducting Qubits.Physical Review Let- ters129, 030501 (2022). URLhttp://arxiv.org/abs/ 2112.13505. ArXiv:2112.13505 [quant-ph]

  48. [48]

    & Debroy, D

    Higgott, O., Anker, B., McEwen, M. & Debroy, D. M. Handling fabrication defects in hex-grid surface codes (2025). URLhttp://arxiv.org/abs/2508.08116. ArXiv:2508.08116 [quant-ph]

  49. [49]

    Stim: a fast stabilizer circuit simulator

    Gidney, C. Stim: a fast stabilizer circuit simulator. Quantum5, 497 (2021). URLhttp://arxiv.org/abs/ 2103.02202. ArXiv:2103.02202 [quant-ph]

  50. [50]

    URLhttps://link.aps.org/ doi/10.1103/PhysRevLett.121.060502

    Magnard, P.et al.Fast and Unconditional All-Microwave Reset of a Superconducting Qubit.Physical Review Let- ters121, 060502 (2018). URLhttps://link.aps.org/ doi/10.1103/PhysRevLett.121.060502

  51. [51]

    URLhttps: //www.nature.com/articles/s41467-021-26205-y

    Zhou, Y.et al.Rapid and unconditional parametric re- set protocol for tunable superconducting qubits.Na- ture Communications12, 5924 (2021). URLhttps: //www.nature.com/articles/s41467-021-26205-y

  52. [52]

    C.et al.Overcoming leakage in quan- tum error correction.Nature Physics19, 1780– 1786 (2023)

    Miao, K. C.et al.Overcoming leakage in quan- tum error correction.Nature Physics19, 1780– 1786 (2023). URLhttps://www.nature.com/articles/ s41567-023-02226-w

  53. [53]

    URLhttps://link.aps.org/doi/10.1103/ PhysRevLett.127.100501

    C´ orcoles, A.et al.Exploiting Dynamic Quantum Circuits in a Quantum Algorithm with Superconduct- ing Qubits.Physical Review Letters127, 100501 (2021). URLhttps://link.aps.org/doi/10.1103/ PhysRevLett.127.100501

  54. [54]

    H.et al.Calibrated Decoders for Experimen- tal Quantum Error Correction.Physical Review Letters 128, 110504 (2022)

    Chen, E. H.et al.Calibrated Decoders for Experimen- tal Quantum Error Correction.Physical Review Letters 128, 110504 (2022). URLhttps://link.aps.org/doi/ 10.1103/PhysRevLett.128.110504

  55. [55]

    URLhttps://www.nature.com/articles/ s41467-023-38247-5

    Sundaresan, N.et al.Demonstrating multi-round subsys- tem quantum error correction using matching and max- imum likelihood decoders.Nature Communications14, 2852 (2023). URLhttps://www.nature.com/articles/ s41467-023-38247-5

  56. [56]

    Rahman, A., Egger, D. J. & Arenz, C. Learning How to Dynamically Decouple.Physical Review Applied 22, 054074 (2024). URLhttp://arxiv.org/abs/2405. 08689. ArXiv:2405.08689 [quant-ph]

  57. [57]

    Fowler, A. G. Optimal complexity correction of cor- related errors in the surface code (2013). URLhttp: //arxiv.org/abs/1310.0863. ArXiv:1310.0863 [quant- ph]

  58. [58]

    Sparse blossom: correcting a million errors per core second with minimum-weight matching,

    Higgott, O. & Gidney, C. Sparse Blossom: correcting a million errors per core second with minimum-weight matching.Quantum9, 1600 (2025). URLhttp://arxiv. org/abs/2303.15933. ArXiv:2303.15933 [quant-ph]

  59. [59]

    R., Burton, S

    Roffe, J., White, D. R., Burton, S. & Campbell, E. Decoding across the quantum low-density parity- check code landscape.Physical Review Research2, 043423 (2020). URLhttps://link.aps.org/doi/10. 1103/PhysRevResearch.2.043423

  60. [60]

    Takou, E., Benito, C., Vezvaee, A., Lidar, D. A. & Brown, K. R. Logical error estimation from syndrome data of surface-code experiments (2026). URLhttp:// arxiv.org/abs/2606.11496. ArXiv:2606.11496 [quant- ph]

  61. [61]

    Improved belief propagation is sufficient for real-time decoding of quantum memory,

    M¨ uller, T.et al.Improved belief propagation is sufficient for real-time decoding of quantum memory (2025). URL http://arxiv.org/abs/2506.01779. ArXiv:2506.01779 [quant-ph]

  62. [62]

    URLhttp://arxiv.org/ abs/2510.21600

    Maurer, T.et al.Real-time decoding of the gross code memory with FPGAs (2025). URLhttp://arxiv.org/ abs/2510.21600. ArXiv:2510.21600 [quant-ph]

  63. [63]

    Gicev, S., Hollenberg, L. C. L. & Usman, M. A scalable and fast artificial neural network syndrome decoder for surface codes.Quantum7, 1058 (2023). URLhttp:// arxiv.org/abs/2110.05854. ArXiv:2110.05854 [quant- ph]

  64. [64]

    W.et al.A scalable and real-time neural decoder for topological quantum codes (2026)

    Senior, A. W.et al.A scalable and real-time neural decoder for topological quantum codes (2026). URL http://arxiv.org/abs/2512.07737. ArXiv:2512.07737 [quant-ph]

  65. [65]

    Improved accuracy for decoding surface codes with matching synthesis (2024)

    Jones, C. Improved accuracy for decoding surface codes with matching synthesis (2024). URLhttp://arxiv. org/abs/2408.12135. ArXiv:2408.12135 [quant-ph]

  66. [66]

    & Villalonga, B

    Shutty, N., Newman, M. & Villalonga, B. Efficient near- optimal decoding of the surface code through ensem- bling (2024). URLhttp://arxiv.org/abs/2401.12434. ArXiv:2401.12434 [quant-ph]

  67. [67]

    Flammia, S. T. Averaged circuit eigenvalue sam- pling.LIPIcs, Volume 232, TQC 2022232, 4:1– 4:10 (2022). URLhttp://arxiv.org/abs/2108.05803. ArXiv:2108.05803 [quant-ph]

  68. [68]

    Gicev, S., Hollenberg, L. C. L. & Usman, M. Quan- tum computer error structure probed by quantum error correction syndrome measurements.Physical Review Re- search6, 043249 (2024). URLhttps://link.aps.org/ doi/10.1103/PhysRevResearch.6.043249

  69. [69]

    T., Doherty, A

    Hockings, E. T., Doherty, A. C. & Harper, R. Scalable Noise Characterization of Syndrome-Extraction Circuits with Averaged Circuit Eigenvalue Sampling.PRX Quan- tum6, 010334 (2025). URLhttps://link.aps.org/ doi/10.1103/PRXQuantum.6.010334

  70. [70]

    Scalable quantum error correction tailored for a heavy-hex qubit array

    Lee, S.-H.et al.Scalable quantum error correction tai- lored for a heavy-hex qubit array (2026). URLhttp:// 12 arxiv.org/abs/2604.14296. ArXiv:2604.14296 [quant- ph]

  71. [71]

    Stability Experiments: The Overlooked Dual of Memory Experiments.Quantum6, 786 (2022)

    Gidney, C. Stability Experiments: The Overlooked Dual of Memory Experiments.Quantum6, 786 (2022). URL http://arxiv.org/abs/2204.13834. ArXiv:2204.13834 [quant-ph]

  72. [72]

    URLhttps://www.nature.com/articles/ s41467-025-60923-x

    Hothem, D.et al.Measuring error rates of mid- circuit measurements.Nature Communications16, 5761 (2025). URLhttps://www.nature.com/articles/ s41467-025-60923-x

  73. [73]

    Crosstalk In Contemporary Quantum Devices

    Gicev, S., Harper, B., Kang, H., Usman, M. & Se- vior, M. Crosstalk In Contemporary Quantum De- vices (2026). URLhttp://arxiv.org/abs/2605.26528. ArXiv:2605.26528 [quant-ph]. 13 Supplementary information for “LUCI on IBM Hardware: Error Suppression with Almost Half Syndrome Density” 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 Runtime (s) 1e 5 10 1 2 × 10 1 3 × 10 1 4...