pith. machine review for the scientific record. sign in

arxiv: 2604.18714 · v1 · submitted 2026-04-20 · 🪐 quant-ph

Recognition: unknown

Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric Architectures

Authors on Pith no claims yet

Pith reviewed 2026-05-10 04:42 UTC · model grok-4.3

classification 🪐 quant-ph
keywords quantum LDPC codesbivariate bicycle codestoric oscillator networkquantum routingsuperconducting qubitsfault-tolerant computingerror correction
0
0 comments X

The pith

A 2D toric network of oscillators routes bivariate bicycle quantum LDPC codes using only O(sqrt(n)) long-range couplers.

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

This paper presents a hardware-software co-design for implementing bivariate bicycle quantum LDPC codes on superconducting circuits with limited connectivity. It introduces a programmable 2D toric network of oscillators as a communication fabric that handles the required long-range stabilizer measurements. This reduces the number of long-range couplers from O(n) to O(sqrt(n)). The design uses dual-rail qubits and gates like Swap-Wait-Swap and beamsplitter SWAPs to achieve high-fidelity operations with low latency and maximum parallelism via code symmetries. Circuit-level simulations with realistic noise show a logical error rate of 3.06% per logical qubit per cycle for the [[18,4,4]] code, which is 2.6 times lower than previous results.

Core claim

The paper establishes that a 2D toric network of oscillators can serve as an efficient communication fabric for routing the long-range interactions in bivariate bicycle codes. By exploiting code symmetries for parallel gate execution and employing dual-rail encoding with specific swap gates, the architecture achieves scalable syndrome extraction cycles while requiring only square-root scaling in long-range couplers. Simulations confirm improved logical error rates under realistic hardware noise.

What carries the argument

The 2D toric network of oscillators acting as a flexible communication fabric between qubit sites, supporting Swap-Wait-Swap gates and beamsplitter SWAPs for long-range two-qubit operations.

Load-bearing premise

The 2D toric network of oscillators can be implemented with high-fidelity, low-latency long-range gates matching the realistic noise model, without unaccounted hardware imperfections or connectivity limits.

What would settle it

Implementing a prototype 2D toric oscillator network on superconducting hardware and comparing the measured logical error rate for the [[18,4,4]] BB code against the simulated 3.06% value.

Figures

Figures reproduced from arXiv: 2604.18714 by Evan McKinney, Kun Liu, Robert J. Schoelkopf, Shifan Xu, Sophia H. Xue, Takahiro Tsunoda, Yongshan Ding, Zeyuan Zhou.

Figure 1
Figure 1. Figure 1: FIG. 1. (a) Programmable communication network. Com [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. (a) Fixed-coupler layout. Each check qubit interacts with four nearest neighbors plus two long-range partners under [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. (a) Dual-rail+SWS implementation of a long-range CZ on a 2D toric oscillator network. (b) Compilation into [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Search layout. (a,b) Stack the four types of tori on [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
Figure 4
Figure 4. Figure 4: (c), shifting the X torus right by 2 and up by 1 leaves all interaction directions unchanged. Formally, if the solid edge corresponds to A1α = β, then the dotted edge corresponds to A1(αX2) = βX2 = βL2, showing that torus translations preserve interaction directions. To minimize the maximum gate distance we follow the procedure in [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. XY routing on torus. We first route the mode along the X axis (horizontal direction). The red pins (X checks) indicate [PITH_FULL_IMAGE:figures/full_fig_p007_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Define [PITH_FULL_IMAGE:figures/full_fig_p007_7.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10. (a) The number of routed 2Q gates in each round of [PITH_FULL_IMAGE:figures/full_fig_p008_10.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8. Comparison of the long-range couplers for the fixed [PITH_FULL_IMAGE:figures/full_fig_p008_8.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11. Comparison of the 2Q gate implementations. [PITH_FULL_IMAGE:figures/full_fig_p008_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12. 2Q gate error rate breakdown of dual-rail+SWS [PITH_FULL_IMAGE:figures/full_fig_p009_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13. Contour plot of the worst-case [PITH_FULL_IMAGE:figures/full_fig_p009_13.png] view at source ↗
read the original abstract

Quantum low-density parity-check codes are promising candidates towards scalable fault-tolerant quantum computation. Among these, bivariate bicycle (BB) codes offer superior encoding rates and large code distance compared to surface codes. However, their requirement on long-range stabilizer measurements poses significant challenges for implementation on realistic hardware with limited connectivity, such as superconducting circuit platforms. In this work, we introduce a novel hardware-software co-design that leverages a programmable communication network architecture to address these limitations. Our approach utilizes a 2D toric network of oscillators as a flexible communication fabric linking qubits at each site. Such architecture significantly reduces the number of long-range couplers required from $O(n)$ to $O(\sqrt{n})$. Dual-rail qubits, along with native gates including Swap-Wait-Swap gates and beamsplitter SWAPs, ensure that long-range two-qubit gates can be executed with high fidelity and low latency. To further enhance performance, our qubit layout and routing algorithm utilize symmetries of the codes and enable maximum parallelism for long-range two-qubit gates, maintaining a low syndrome extraction cycle duration and scalability over the code length. We perform circuit-level simulation with realistic noise modeling based on experimental hardware parameters, observing an logical error rate per logical qubit per cycle of 3.06\% for $[[18, 4, 4]]$ BB code, 2.6$\times$ less than the existing experimental result. These findings provide a practical roadmap and identify key technological advancements needed to achieve low-overhead fault-tolerant quantum computing at scale.

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 manuscript proposes a hardware-software co-design for implementing bivariate bicycle (BB) quantum LDPC codes on superconducting platforms with limited connectivity. It introduces a programmable 2D toric network of oscillators as a flexible communication fabric that reduces long-range couplers from O(n) to O(sqrt(n)), uses dual-rail qubits with native Swap-Wait-Swap and beamsplitter SWAP gates for high-fidelity long-range operations, and employs a symmetry-aware routing algorithm to maximize parallelism while keeping syndrome extraction cycles short. Circuit-level simulations with realistic noise modeling based on experimental parameters report a logical error rate per logical qubit per cycle of 3.06% for the [[18,4,4]] BB code, stated to be 2.6× lower than existing experimental results.

Significance. If the central hardware assumptions hold, the work provides a concrete and scalable route to realizing high-rate LDPC codes on near-term hardware, substantially lowering connectivity overhead compared with direct long-range coupling schemes. The emphasis on code symmetries for parallel routing and the reported error-rate improvement constitute a practical contribution toward low-overhead fault-tolerant quantum computation.

major comments (2)
  1. [Abstract] Abstract and simulation results: the reported 3.06% logical error rate per logical qubit per cycle (and the 2.6× improvement) is obtained from circuit-level simulations whose exact noise parameters, gate error rates, circuit decompositions of the Swap-Wait-Swap and beamsplitter SWAP operations, and comparison baselines are not specified. This prevents independent verification of whether the performance numbers are robust or sensitive to post-hoc choices in the noise model.
  2. [Hardware Architecture] Hardware architecture and assumptions: the central claims rest on the 2D toric oscillator network supporting long-range gates at fidelities and latencies that exactly match the modeled realistic noise without additional imperfections (crosstalk, calibration drift, or path-dependent latency). No sensitivity analysis or bounds are given on how deviations from this assumption would propagate to the logical error rate, leaving the 3.06% figure and the O(sqrt(n)) coupler reduction vulnerable to unmodeled hardware effects.
minor comments (1)
  1. [Abstract] The abstract contains the grammatical error 'an logical error rate'; this should be corrected to 'a logical error rate'.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their thorough review and valuable feedback on our manuscript. We address each major comment below with specific clarifications and commit to revisions that enhance transparency and robustness without altering the core contributions.

read point-by-point responses
  1. Referee: [Abstract] Abstract and simulation results: the reported 3.06% logical error rate per logical qubit per cycle (and the 2.6× improvement) is obtained from circuit-level simulations whose exact noise parameters, gate error rates, circuit decompositions of the Swap-Wait-Swap and beamsplitter SWAP operations, and comparison baselines are not specified. This prevents independent verification of whether the performance numbers are robust or sensitive to post-hoc choices in the noise model.

    Authors: We agree that additional detail on the simulation setup is necessary for independent verification. The noise model in the manuscript is constructed from experimental parameters in the superconducting qubit literature (e.g., T1/T2 times, gate durations, and error rates from recent device characterizations), but we acknowledge that the abstract and main text do not list every numerical value or decomposition explicitly. In the revised version we will add a new subsection (and an accompanying table) that specifies: (i) all single- and two-qubit gate error rates and durations used, (ii) the exact gate decompositions and pulse sequences for Swap-Wait-Swap and beamsplitter SWAP operations, (iii) the precise circuit-level noise model (including measurement and reset errors), and (iv) the exact baseline circuits and codes against which the 2.6× improvement is measured. These additions will allow readers to reproduce the 3.06 % figure and test its sensitivity to parameter choices. revision: yes

  2. Referee: [Hardware Architecture] Hardware architecture and assumptions: the central claims rest on the 2D toric oscillator network supporting long-range gates at fidelities and latencies that exactly match the modeled realistic noise without additional imperfections (crosstalk, calibration drift, or path-dependent latency). No sensitivity analysis or bounds are given on how deviations from this assumption would propagate to the logical error rate, leaving the 3.06% figure and the O(sqrt(n)) coupler reduction vulnerable to unmodeled hardware effects.

    Authors: The referee correctly notes the absence of a sensitivity study. Our noise model assumes that the programmable toric network can realize the modeled long-range operations at the stated fidelities and latencies; we did not quantify the impact of unmodeled effects such as crosstalk, path-dependent latency, or calibration drift. In the revision we will include a new analysis section that (a) introduces bounded perturbations to gate fidelity and latency consistent with current experimental variability, (b) re-runs the circuit-level simulations under these perturbations, and (c) reports the resulting range of logical error rates together with a discussion of how the O(sqrt(n)) coupler scaling remains advantageous even under moderate degradation. This will directly address the robustness concern while preserving the manuscript’s central hardware-software co-design claims. revision: yes

Circularity Check

0 steps flagged

No circularity: architecture proposal and simulation results are independent of inputs

full rationale

The paper proposes a 2D toric oscillator network for routing BB codes, derives the O(sqrt(n)) coupler reduction from the layout geometry and routing algorithm, and reports simulated logical error rates from circuit-level noise modeling with external hardware parameters. No equations, predictions, or central claims reduce by construction to fitted inputs, self-definitions, or load-bearing self-citations. The derivation chain remains self-contained against the stated assumptions and external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 1 invented entities

The central claims rest on the realizability of the oscillator-based long-range gates and the fidelity of the noise model; these are domain assumptions without independent evidence supplied in the abstract.

free parameters (1)
  • noise model parameters
    Derived from experimental hardware parameters but not enumerated or justified in the abstract.
axioms (1)
  • domain assumption The 2D toric oscillator network provides scalable, high-fidelity long-range connectivity without introducing dominant new error sources.
    Invoked to support the reduction in couplers and low-latency operation.
invented entities (1)
  • programmable 2D toric network of oscillators no independent evidence
    purpose: Flexible communication fabric to enable long-range stabilizer measurements with O(sqrt(n)) couplers
    New architectural element introduced to solve connectivity constraints; no external validation provided.

pith-pipeline@v0.9.0 · 5603 in / 1501 out tokens · 52060 ms · 2026-05-10T04:42:17.925001+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

70 extracted references · 48 canonical work pages · 4 internal anchors

  1. [1]

    Each SWAP takes one iSWAP and one CZ gate, according to Figure 1(d) in [53], and we ignore single-qubit gate errors and durations

    iSWAP + CZ long-range gate To simplify the analysis, we optimistically assume p2Q(1) = 0.001 is the 2Q gate error rate of local iSWAP/CZ/CNOT gate among transmon qubits and lo- cal gate durationt 2Q(1) = 80 ns, though the experimen- tal results [53] are worse than these values. Each SWAP takes one iSWAP and one CZ gate, according to Figure 1(d) in [53], a...

  2. [2]

    CV + DV long-range gate In this architecture, the 2Q gate error rate comprises two parts: (1) transmon decay and dephasing during idling and mode traveling; (2) photon loss. From [54, Figure 20(a)], we can write the duration as tdur(r) = 4·(t CD +r·t SWAP).(A3) We model transmon decay and dephasing by applying Pauli twirling to the amplitude damping and d...

  3. [3]

    The total 2Q gate error rate is the idling error rate from both control and target qubits, plus the photon loss error rate, p2Q(t) =p X(t) +p Y (t) +p Z(t) +p loss(t), t=t idle(r) (A6)

  4. [4]

    Following Mehta et al

    Effective cavity duration This section explains why the cavity-loss model for the control dual-rail qubit uses an effective cavity duration tdur(r)−t SWS/2. Following Mehta et al. [44], the SWS gate acts on (a 1, a2, c, b1, b2),wherea 1 anda 2 are the control dual-rail cavities,cis the coupler, andb 1 and b2 are the target dual-rail cavities. In our long-...

  5. [5]

    No-jump backaction arises when the two logical ba- sis states experience different effective decay rates [56– 58]

    No-jump backaction in the SWAP network This section analyzes no-jump backaction for the con- trol dual-rail qubit during a long-range SWS gate and justifies its exclusion from the main error model. No-jump backaction arises when the two logical ba- sis states experience different effective decay rates [56– 58]. In our protocol,|1 L⟩has its excitation in c...

  6. [6]

    M. E. Beverland, P. Murali, M. Troyer, K. M. Svore, T. Hoefler, V. Kliuchnikov, G. H. Low, M. Soeken, A. Sundaram, and A. Vaschillo, Assessing require- ments to scale to practical quantum advantage (2022), arXiv:2211.07629

  7. [7]

    S. B. Bravyi and A. Y. Kitaev, Quantum codes on a lattice with boundary (1998), arXiv:quant-ph/9811052

  8. [8]

    Dennis, A

    E. Dennis, A. Kitaev, A. Landahl, and J. Preskill, Topological quantum memory (2001), arXiv:quant- ph/0110143

  9. [9]

    A. Y. Kitaev, Fault-tolerant quantum computation by anyons, Annals of Physics303, 2 (2003)

  10. [10]

    A. G. Fowler, A. M. Stephens, and P. Groszkowski, High threshold universal quantum computation on the surface code (2012), arXiv:0803.0272

  11. [11]

    Krinner, N

    S. Krinner, N. Lacroix, A. Remm, A. Di Paolo, E. Genois, C. Leroux, C. Hellings, S. Lazar, F. Swiadek, J. Her- rmann, G. J. Norris, C. K. Andersen, M. M¨ uller, A. Blais, C. Eichler, and A. Wallraff, Realizing repeated quantum error correction in a distance-three surface code, Nature 605, 669 (2022)

  12. [12]

    J. F. Marques, B. M. Varbanov, M. S. Moreira, H. Ali, N. Muthusubramanian, C. Zachariadis, F. Battistel, M. Beekman, N. Haider, W. Vlothuizen, A. Bruno, B. M. Terhal, and L. DiCarlo, Logical-qubit operations in an error-detecting surface code (2021), arXiv:2102.13071

  13. [13]

    V. V. Sivak, A. Eickbusch, B. Royer, S. Singh, I. Tsiout- sios, S. Ganjam, A. Miano, B. L. Brock, A. Z. Ding, L. Frunzio, S. M. Girvin, R. J. Schoelkopf, and M. H. De- voret, Real-time quantum error correction beyond break- even, Nature616, 50 (2023)

  14. [14]

    Takita, A

    M. Takita, A. D. C´ orcoles, E. Magesan, B. Abdo, M. Brink, A. Cross, J. M. Chow, and J. M. Gambetta, Demonstration of weight-four parity measurements in the surface code architecture (2017), arXiv:1605.01351

  15. [15]

    Y. Zhao, Y. Ye, H.-L. Huang, Y. Zhang, D. Wu, H. Guan, 12 Q. Zhu, Z. Wei, T. He, S. Cao, F. Chen, T.-H. Chung, H. Deng, D. Fan, M. Gong, C. Guo, S. Guo, L. Han, N. Li, S. Li, Y. Li, F. Liang, J. Lin, H. Qian, H. Rong, H. Su, L. Sun, S. Wang, Y. Wu, Y. Xu, C. Ying, J. Yu, C. Zha, K. Zhang, Y.-H. Huo, C.-Y. Lu, C.-Z. Peng, X. Zhu, and J.-W. Pan, Realization...

  16. [16]

    T. J. Yoder, E. Schoute, P. Rall, E. Pritchett, J. M. Gam- betta, A. W. Cross, M. Carroll, and M. E. Beverland, Tour de gross: A modular quantum computer based on bivariate bicycle codes (2025), arXiv:2506.03094 [quant- ph]

  17. [17]

    Bravyi, D

    S. Bravyi, D. Poulin, and B. Terhal, Tradeoffs for reli- able quantum information storage in 2D systems, Physi- cal Review Letters104, 050503 (2010), arXiv:0909.5200 [quant-ph]

  18. [18]

    Fault-tolerant quantum computa- tion with constant overhead,

    D. Gottesman, Fault-Tolerant Quantum Computation with Constant Overhead (2014), arXiv:1310.2984

  19. [19]

    Panteleev and G

    P. Panteleev and G. Kalachev, Degenerate Quantum LDPC Codes With Good Finite Length Performance, Quantum5, 585 (2021), arXiv:1904.02703 [quant-ph]

  20. [20]

    Panteleev and G

    P. Panteleev and G. Kalachev, Quantum LDPC Codes with Almost Linear Minimum Distance, IEEE Transactions on Information Theory68, 213 (2022), arXiv:2012.04068 [quant-ph]

  21. [21]

    Tillich and G

    J.-P. Tillich and G. Zemor, Quantum LDPC codes with positive rate and minimum distance proportional to nˆ{1/2}, IEEE Transactions on Information Theory60, 1193 (2014), arXiv:0903.0566 [quant-ph]

  22. [22]

    Bravyi, A

    S. Bravyi, A. W. Cross, J. M. Gambetta, D. Maslov, P. Rall, and T. J. Yoder, High-threshold and low- overhead fault-tolerant quantum memory, Nature627, 778 (2024)

  23. [23]

    Cowtan, Z

    A. Cowtan, Z. He, D. J. Williamson, and T. J. Yoder, Fast and fault-tolerant logical measurements: Auxiliary hypergraphs and transversal surgery (2025), arXiv:2510.14895 [quant-ph]

  24. [24]

    Williamson, and Theodore J

    A. Cowtan, Z. He, D. J. Williamson, and T. J. Yo- der, Parallel Logical Measurements via Quantum Code Surgery (2025), arXiv:2503.05003 [quant-ph]

  25. [25]

    Cross, Z

    A. Cross, Z. He, P. Rall, and T. Yoder, Improved QLDPC Surgery: Logical Measurements and Bridging Codes (2024), arXiv:2407.18393 [quant-ph]

  26. [26]

    Z. He, A. Cowtan, D. J. Williamson, and T. J. Yoder, Ex- tractors: QLDPC Architectures for Efficient Pauli-Based Computation (2025), arXiv:2503.10390 [quant-ph]

  27. [27]

    D. J. Williamson and T. J. Yoder, Low-overhead fault- tolerant quantum computation by gauging logical opera- tors (2024)

  28. [28]

    Wang, Patrick Rall, Edward H

    E. B¨ aumer, V. Tripathi, D. S. Wang, P. Rall, E. H. Chen, S. Majumder, A. Seif, and Z. K. Minev, Effi- cient Long-Range Entanglement using Dynamic Circuits (2023), arXiv:2308.13065 [quant-ph]

  29. [29]

    Toward a 2D local implementation of quantum LDPC codes

    N. Berthusen, D. Devulapalli, E. Schoute, A. M. Childs, M. J. Gullans, A. V. Gorshkov, and D. Gottesman, To- ward a 2D Local Implementation of Quantum LDPC Codes (2024), arXiv:2404.17676 [quant-ph]

  30. [30]

    K. Wang, Z. Lu, C. Zhang, G. Liu, J. Chen, Y. Wang, Y. Wu, S. Xu, X. Zhu, F. Jin, Y. Gao, Z. Tan, Z. Cui, N. Wang, Y. Zou, A. Zhang, T. Li, F. Shen, J. Zhong, Z. Bao, Z. Zhu, Y. Han, Y. He, J. Shen, H. Wang, J.- N. Yang, Z. Song, J. Deng, H. Dong, Z.-Z. Sun, W. Li, Q. Ye, S. Jiang, Y. Ma, P.-X. Shen, P. Zhang, H. Li, Q. Guo, Z. Wang, C. Song, H. Wang, and...

  31. [31]

    Bounds on stabilizer measure- ment circuits and obstructions to local implementations of quantum ldpc codes

    N. Delfosse, M. E. Beverland, and M. A. Tremblay, Bounds on stabilizer measurement circuits and obstruc- tions to local implementations of quantum LDPC codes (2021), arXiv:2109.14599 [quant-ph]

  32. [32]

    Baspin and A

    N. Baspin and A. Krishna, Quantifying nonlocality: how outperforming local quantum codes is expensive, Physi- cal Review Letters129, 050505 (2022), arXiv:2109.10982 [quant-ph]

  33. [33]

    Baker, and Frederic T

    J. Viszlai, W. Yang, S. F. Lin, J. Liu, N. Nottingham, J. M. Baker, and F. T. Chong, Matching Generalized- Bicycle Codes to Neutral Atoms for Low-Overhead Fault- Tolerance (2024), arXiv:2311.16980 [quant-ph]

  34. [34]

    Poole, T

    C. Poole, T. M. Graham, M. A. Perlin, M. Otten, and M. Saffman, Architecture for fast implementation of qLDPC codes with optimized Rydberg gates (2024), arXiv:2404.18809 [physics, physics:quant-ph]

  35. [35]

    Bluvstein, et al., Logical quantum processor based on reconfigurable atom arrays

    D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, T. Manovitz, S. Ebadi, M. Cain, M. Kalinowski, D. Hangleiter, J. P. B. Ataides, N. Maskara, I. Cong, X. Gao, P. S. Rodriguez, T. Karolyshyn, G. Semeghini, M. J. Gullans, M. Greiner, V. Vuletic, and M. D. Lukin, Logical quantum processor based on reconfigurable atom arrays (2023), arXiv:2312.03982

  36. [36]

    Q. Xu, J. P. B. Ataides, C. A. Pattison, N. Raveendran, D. Bluvstein, J. Wurtz, B. Vasic, M. D. Lukin, L. Jiang, and H. Zhou, Constant-Overhead Fault-Tolerant Quan- tum Computation with Reconfigurable Atom Arrays (2023), arXiv:2308.08648 [quant-ph]

  37. [37]

    T. G. Walker and M. Saffman, Consequences of Zeeman Degeneracy for van der Waals Blockade between Rydberg Atoms (2007), arXiv:0712.3438

  38. [38]

    M. R. Lam, N. Peter, T. Groh, W. Alt, C. Robens, D. Meschede, A. Negretti, S. Montangero, T. Calarco, and A. Alberti, Demonstration of Quantum Brachis- tochrones between Distant States of an Atom, Physical Review X11, 011035 (2021)

  39. [39]

    J. M. Baker, A. Litteken, C. Duckering, H. Hoffman, H. Bernien, and F. T. Chong, Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures (2021), arXiv:2111.06469

  40. [40]

    Placing and routing quantum LDPC codes in multilayer superconducting hardware

    M. Mathews, L. Pahl, D. Pahl, V. L. Addala, C. Tang, W. D. Oliver, and J. A. Grover, Placing and rout- ing quantum LDPC codes in multilayer superconducting hardware (2025), arXiv:2507.23011 [quant-ph] version: 2

  41. [41]

    G. Li, Y. Ding, and Y. Xie, Tackling the Qubit Map- ping Problem for NISQ-Era Quantum Devices (2019), arXiv:1809.02573 [quant-ph]

  42. [42]

    R. Zhou, F. Zhang, H.-H. Zhao, F. Wu, L. Kong, and J. Chen, Louvre: Relaxing Hardware Requirements of Quantum LDPC Codes by Routing with Expanded Quantum Instruction Set (2025), arXiv:2508.20858 [quant-ph]

  43. [43]

    G. Zhao, F. Yan, and X. Ni, A simple universal rout- ing strategy for reducing the connectivity requirements of quantum LDPC codes (2025), arXiv:2509.00850 [quant- ph]

  44. [44]

    Y. Yang, G. Zhang, and Y. Li, Planar Fault-Tolerant Quantum Computation with Low Overhead (2025), arXiv:2506.18061 [quant-ph]

  45. [45]

    Y. Wu, S. Kolkowitz, S. Puri, and J. D. Thompson, Era- sure conversion for fault-tolerant quantum computing in 13 alkaline earth Rydberg atom arrays (2022)

  46. [46]

    J. D. Teoh, P. Winkel, H. K. Babla, B. J. Chapman, J. Claes, S. J. de Graaf, J. W. O. Garmon, W. D. Kalfus, Y. Lu, A. Maiti, K. Sahay, N. Thakur, T. Tsun- oda, S. H. Xue, L. Frunzio, S. M. Girvin, S. Puri, and R. J. Schoelkopf, Dual-rail encoding with superconduct- ing cavities, Proceedings of the National Academy of Sci- ences120, e2221736120 (2023), arX...

  47. [47]

    K. S. Chou, T. Shemma, H. McCarrick, T.-C. Chien, J. D. Teoh, P. Winkel, A. Anderson, J. Chen, J. C. Cur- tis, S. J. de Graaf, J. W. O. Garmon, B. Gudlewski, W. D. Kalfus, T. Keen, N. Khedkar, C. U. Lei, G. Liu, P. Lu, Y. Lu, A. Maiti, L. Mastalli-Kelly, N. Mehta, S. O. Mundhada, A. Narla, T. Noh, T. Tsunoda, S. H. Xue, J. O. Yuan, L. Frunzio, J. Aumentad...

  48. [48]

    S. J. d. Graaf, S. H. Xue, B. J. Chapman, J. D. Teoh, T. Tsunoda, P. Winkel, J. W. O. Garmon, K. M. Chang, L. Frunzio, S. Puri, and R. J. Schoelkopf, A mid-circuit erasure check on a dual-rail cavity qubit using the joint- photon number-splitting regime of circuit QED (2024), arXiv:2406.14621 [quant-ph]

  49. [49]

    Mehta, J

    N. Mehta, J. D. Teoh, T. Noh, A. Agrawal, R. Cham- berlain, T.-C. Chien, J. C. Curtis, B. H. Elfeky, S. M. Farzaneh, B. Gudlewski, T. Keen, N. Khed- kar, C. Kurter, R. Li, G. Liu, P. Lu, H. McCar- rick, A. Narla, S. Satapathy, T. Shemma, R. A. Shi, D. K. Weiss, J. Aumentado, C. U. Lei, J. O. Yuan, S. O. Mundhada, S. H. M. Jr, K. S. Chou, and R. J. Schoelk...

  50. [50]

    Wu and L

    Y. Wu and L. Zhong, Fusion Blossom: Fast MWPM De- coders for QEC (2023), arXiv:2305.08307 [quant-ph]

  51. [51]

    Connolly, V

    N. Connolly, V. Londe, A. Leverrier, and N. Delfosse, Fast erasure decoder for hypergraph product codes, Quantum8, 1450 (2024), arXiv:2208.01002 [quant-ph]

  52. [52]

    G¨ okduman, H

    M. G¨ okduman, H. Yao, and H. D. Pfister, Erasure De- coding for Quantum LDPC Codes via Belief Propagation with Guided Decimation, inThe 60th Allerton Confer- ence on Communication, Control, and Computing(2024) pp. 1–8, arXiv:2411.08177 [cs]

  53. [53]

    Quantum LDPC codes for erasure-biased atomic quan- tum processors

    L. Pecorari and G. Pupillo, Quantum LDPC codes for erasure-biased atomic quantum processors (2025), arXiv:2502.20189 [quant-ph]

  54. [54]

    H. Yao, M. G¨ okduman, and H. D. Pfister, Cluster De- composition for Improved Erasure Decoding of Quantum LDPC Codes (2024), arXiv:2412.08817 [cs]

  55. [55]

    A. B. Kahng, J. Lienig, I. L. Markov, and J. Hu,VLSI Physical Design: From Graph Partitioning to Timing Closure(Springer Netherlands, Dordrecht, 2011)

  56. [56]

    Bravyi, O

    S. Bravyi, O. Dial, J. M. Gambetta, D. Gil, and Z. Nazario, The Future of Quantum Computing with Su- perconducting Qubits, Journal of Applied Physics132, 160902 (2022), arXiv:2209.06841 [quant-ph]

  57. [57]

    Gambetta, From Surface Codes to BB Codes: The Path Towards Making FTQC a Reality (2025)

    J. Gambetta, From Surface Codes to BB Codes: The Path Towards Making FTQC a Reality (2025)

  58. [58]

    Kriˇ zan, J

    C. Kriˇ zan, J. Bizn´ arov´ a, L. Chen, E. Hogedal, A. Osman, C. W. Warren, S. Kosen, H.-X. Li, T. Abad, A. Ag- garwal, M. Caputo, J. Fern´ andez-Pend´ as, A. Gaikwad, L. Gr¨ onberg, A. Nylander, R. Rehammar, M. Rommel, O. I. Yuzephovich, A. F. Kockum, J. Govenius, G. Tan- credi, and J. Bylander, Quantum SWAP gate realized with CZ and iSWAP gates in a sup...

  59. [59]

    Y. Liu, S. Singh, K. C. Smith, E. Crane, J. M. Mar- tyn, A. Eickbusch, A. Schuckert, R. D. Li, J. Sinanan- Singh, M. B. Soley, T. Tsunoda, I. L. Chuang, N. Wiebe, and S. M. Girvin, Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Ma- chine Models, and Applications (2024), arXiv:2407.10381 [quant-ph]

  60. [60]

    N. E. Jerger, T. Krishna, and L.-S. Peh,On-Chip Net- works, Second Edition(Springer Nature, 2022) google- Books-ID: fYZyEAAAQBAJ

  61. [61]

    M. H. Michael, M. Silveri, R. Brierley, V. V. Albert, J. Salmilehto, L. Jiang, and S. M. Girvin, New class of quantum error-correcting codes for a bosonic mode, Physical Review X6, 031006 (2016)

  62. [62]

    Koottandavida, I

    A. Koottandavida, I. Tsioutsios, A. Kargioti, C. R. Smith, V. R. Joshi, W. Dai, J. D. Teoh, J. C. Curtis, L. Frunzio, R. J. Schoelkopf, and M. H. Devoret, Erasure Detection of a Dual-Rail Qubit Encoded in a Double-Post Superconducting Cavity, Physical Review Letters132, 180601 (2024)

  63. [63]

    J. D. Teoh,Error detection in bosonic circuit quantum electrodynamics, Ph.D. thesis, Yale University (2023)

  64. [64]

    doi:10.22331/q-2021-07-06-497 , title =

    C. Gidney, Stim: a fast stabilizer circuit simulator, arXiv:2103.02202 [quant-ph] 10.22331/q-2021-07-06-497 (2021), arXiv: 2103.02202

  65. [65]

    Decoding across the quan- tum low-density parity-check code landscape

    J. Roffe, D. R. White, S. Burton, and E. T. Camp- bell, Decoding Across the Quantum LDPC Code Land- scape, Physical Review Research2, 043423 (2020), arXiv:2005.07016 [quant-ph]

  66. [66]

    N. P. Breuckmann and S. Burton, Fold-Transversal Clif- ford Gates for Quantum Codes, Quantum8, 1372 (2024), arXiv:2202.06647 [quant-ph]

  67. [67]

    J. E. Moussa, Transversal Clifford gates on folded surface codes, Physical Review A94, 042316 (2016), arXiv:1603.02286 [quant-ph]

  68. [68]

    Eickbusch, V

    A. Eickbusch, V. Sivak, A. Z. Ding, S. S. Elder, S. R. Jha, J. Venkatraman, B. Royer, S. M. Girvin, R. J. Schoelkopf, and M. H. Devoret, Fast universal control of an oscillator with weak dispersive coupling to a qubit, Nature Physics 18, 1464 (2022)

  69. [69]

    Tsunoda, J

    T. Tsunoda, J. D. Teoh, W. D. Kalfus, S. J. de Graaf, B. J. Chapman, J. C. Curtis, N. Thakur, S. M. Girvin, and R. J. Schoelkopf, Error-Detectable Bosonic Entan- gling Gates with a Noisy Ancilla, PRX Quantum4, 020354 (2023)

  70. [70]

    G. P. Geh´ er, M. Jastrzebski, E. T. Campbell, and O. Crawford, To reset, or not to reset – that is the ques- tion (2024)