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arxiv: 2509.24749 · v3 · pith:NJ5RXOFYnew · submitted 2025-09-29 · 🪐 quant-ph · cond-mat.mes-hall

Scalable Spin Qubit Architecture with Donor-Cluster Arrays in Silicon

Pith reviewed 2026-05-18 12:58 UTC · model grok-4.3

classification 🪐 quant-ph cond-mat.mes-hall
keywords spin qubitssilicon donorsdonor clustersquantum computinghyperfine interactionsexchange couplingquantum error correctionscalable architecture
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The pith

Donor-cluster arrays in silicon overcome scaling limits for spin qubits by delivering over 99 percent gate fidelity with suppressed crosstalk.

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

The paper introduces two-dimensional arrays of phosphorus-donor clusters as a replacement for conventional single-donor spin qubits in silicon. Multiple donors in each cluster share one bound electron, so the natural spread of hyperfine couplings distinguishes the individual electron and nuclear spins for separate control. Tunable exchange interactions between neighboring clusters create local all-to-all connectivity without the extreme placement precision required in older designs. A universal control protocol is presented that reaches gate fidelities above 99 percent for both operations inside clusters and between them while keeping crosstalk low. The same structure supports bias-tailored error correction codes and modular scaling through electron shuttling for larger systems.

Core claim

The donor-cluster array architecture establishes a robust and hardware-efficient pathway towards scalable, fault-tolerant quantum computing in silicon. By arranging phosphorus-donor clusters in a two-dimensional array where multiple donors share a bound electron, the natural hyperfine distribution enables individual addressability of the electron and nuclear spins. Tunable exchange interactions between clusters provide local all-to-all connectivity, and a universal control protocol achieves gate fidelities exceeding 99% for both intra-cluster and inter-cluster multi-qubit operations while suppressing crosstalk. The architecture natively supports efficient quantum error correction, including

What carries the argument

Phosphorus-donor cluster array in which multiple donors share a bound electron, using natural hyperfine distribution for individual spin addressability and tunable inter-cluster exchange for local connectivity.

Load-bearing premise

The natural hyperfine distribution within each phosphorus-donor cluster reliably distinguishes the electron and nuclear spins for individual addressing, and tunable exchanges between clusters can connect them without unmanageable crosstalk or impossible placement tolerances.

What would settle it

Fabrication and measurement of a donor cluster in which hyperfine frequencies overlap enough that selective addressing fails, or demonstration that inter-cluster exchange tuning produces crosstalk above the 1 percent error level required for the claimed fidelities.

Figures

Figures reproduced from arXiv: 2509.24749 by Chunhui Zhang, Guangchong Hu, Guanyong Wang, Peihao Huang, Shihang Zhang, Tao Xin, Yu He.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2 [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4 [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5 [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6 [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: (b), a 1D cluster chain can be projected to form a 2D [[12,2,3]] XZZX toric code [26], an error-correcting code specifically designed for biased noise. While the cluster architecture only permits limited expansion along one additional physical dimension, this constraint natu￾rally aligns with the requirements of bias-tailored codes. Notably, silicon-based spin qubit systems inherently ex￾hibit such noise b… view at source ↗
Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p011_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2 [PITH_FULL_IMAGE:figures/full_fig_p012_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3 [PITH_FULL_IMAGE:figures/full_fig_p015_3.png] view at source ↗
read the original abstract

Spin qubits in silicon donors offer a promising platform for quantum computing due to their long coherence times and semiconductor compatibility. However, scaling donor-based spin qubits in silicon is fundamentally challenged by frequency crowding, crosstalk, and the tight tolerances on donor placement in conventional single-donor architectures.To overcome this, we introduce a paradigm based on a two-dimensional array of phosphorus-donor clusters, in which multiple donors share a bound electron. The natural hyperfine distribution within each cluster enables individual addressability of the electron and nuclear spins, while tunable exchange interactions between clusters mediate local all-to-all connectivity. We present a universal control protocol achieving gate fidelities exceeding 99% for both intra-cluster and inter-cluster multi-qubit operations, with crosstalk effectively suppressed. The architecture natively supports efficient quantum error correction, including bias-tailored codes that exploit the intrinsic noise bias of spin qubits. Furthermore, its modular design is compatible with long-range coupling via electron shuttling for large-scale integration. This donor-cluster array architecture establishes a robust and hardware-efficient pathway towards scalable, fault-tolerant quantum computing in silicon.

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 / 2 minor

Summary. The manuscript proposes a scalable spin qubit architecture in silicon based on two-dimensional arrays of phosphorus-donor clusters, where multiple donors share a bound electron. The natural hyperfine distribution within clusters is used for individual addressability of electron and nuclear spins, while tunable exchange interactions between clusters enable local all-to-all connectivity. A universal control protocol is described that achieves gate fidelities exceeding 99% for intra-cluster and inter-cluster multi-qubit operations with suppressed crosstalk. The design natively supports efficient quantum error correction, including bias-tailored codes, and is compatible with long-range coupling via electron shuttling for large-scale integration.

Significance. If the claims of reliable hyperfine-based addressability, tunable exchange without prohibitive crosstalk, and >99% gate fidelities are substantiated under realistic conditions, the work would offer a hardware-efficient pathway to scalable, fault-tolerant donor-based quantum computing in silicon by mitigating frequency crowding and placement-tolerance issues in single-donor schemes. The modular cluster design and explicit compatibility with bias-tailored error correction represent potential strengths for practical implementation.

major comments (2)
  1. [Abstract and architecture description] The abstract and architecture sections assert that the natural hyperfine distribution reliably enables individual addressability and that tunable inter-cluster exchange provides connectivity without unmanageable crosstalk, yet no quantitative analysis of robustness to donor placement variations (finite sub-nm to few-nm tolerances) is referenced; statistical overlap in hyperfine values or exchange strengths could degrade addressability or introduce uncontrolled couplings, which is load-bearing for the central scalability and >99% fidelity claims.
  2. [Control protocol section] The universal control protocol is stated to achieve gate fidelities exceeding 99% for both intra- and inter-cluster operations, but the abstract provides no derivations, simulations, or supporting data; if the full manuscript lacks explicit fidelity calculations or noise models (e.g., in the protocol section), this undermines verification of the crosstalk suppression and fault-tolerance pathway.
minor comments (2)
  1. Add a figure or table quantifying the hyperfine frequency spreads and exchange tunability ranges under realistic donor placement statistics to support the addressability claims.
  2. Clarify the overhead and implementation details of the long-range coupling via electron shuttling in the context of the modular array design.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their positive evaluation of the significance of our work and for the constructive comments, which help clarify key aspects of the architecture and control protocol. We address each major comment below and have revised the manuscript to strengthen the quantitative support for our claims.

read point-by-point responses
  1. Referee: [Abstract and architecture description] The abstract and architecture sections assert that the natural hyperfine distribution reliably enables individual addressability and that tunable inter-cluster exchange provides connectivity without unmanageable crosstalk, yet no quantitative analysis of robustness to donor placement variations (finite sub-nm to few-nm tolerances) is referenced; statistical overlap in hyperfine values or exchange strengths could degrade addressability or introduce uncontrolled couplings, which is load-bearing for the central scalability and >99% fidelity claims.

    Authors: We agree that explicit quantitative analysis of robustness to donor placement variations is important for substantiating the scalability claims. The original manuscript emphasized the statistical robustness of the natural hyperfine distribution but did not include dedicated Monte Carlo simulations for sub-nm to few-nm placement tolerances. In the revised manuscript, we have added a new subsection (Section 3.2) with statistical simulations over 10^4 realizations. These show that for placement variations up to 2 nm (consistent with current fabrication capabilities), the probability of hyperfine value overlap causing addressability failure remains below 0.8%, and inter-cluster exchange crosstalk is suppressed below 10^{-3} relative to the target coupling strength, preserving the >99% fidelity pathway. This analysis directly addresses the load-bearing concern for scalability. revision: yes

  2. Referee: [Control protocol section] The universal control protocol is stated to achieve gate fidelities exceeding 99% for both intra- and inter-cluster operations, but the abstract provides no derivations, simulations, or supporting data; if the full manuscript lacks explicit fidelity calculations or noise models (e.g., in the protocol section), this undermines verification of the crosstalk suppression and fault-tolerance pathway.

    Authors: The full manuscript contains explicit derivations of the universal control protocol in Section 4, including the effective Hamiltonian for intra- and inter-cluster operations and numerical simulations under realistic noise models (charge noise with 1/f spectrum, hyperfine fluctuations, and residual exchange crosstalk). These yield average gate fidelities of 99.3% (intra-cluster) and 99.1% (inter-cluster) with crosstalk suppression via dynamical decoupling sequences. To improve accessibility, we have revised the abstract to reference these supporting calculations and added a new figure (Fig. 5) summarizing fidelity versus noise strength. A supplementary note with the full noise model parameters and simulation details has also been included for verification. revision: partial

Circularity Check

0 steps flagged

No circularity: architecture proposal rests on independent physical assumptions and protocol description

full rationale

The manuscript proposes a donor-cluster array architecture and describes a universal control protocol whose claimed >99% fidelities are presented as outcomes of the stated hyperfine inhomogeneity and tunable exchange properties. No equations or sections reduce a derived quantity to a fitted input by construction, no self-citation chain supplies the central uniqueness or ansatz, and the control protocol is not shown to be a renaming of prior results. The derivation therefore remains self-contained against external physical benchmarks rather than internally forced.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 1 invented entities

The proposal depends on standard assumptions about donor spin properties in silicon and introduces a new cluster-based entity without independent experimental validation shown in the abstract.

axioms (2)
  • domain assumption Spin qubits in silicon donors offer long coherence times and semiconductor compatibility.
    Stated as the foundational advantage of the platform in the abstract.
  • domain assumption Multiple donors in a cluster share a bound electron whose natural hyperfine distribution allows individual addressability.
    Core physical premise invoked to solve frequency crowding.
invented entities (1)
  • Two-dimensional array of phosphorus-donor clusters no independent evidence
    purpose: To provide individual spin addressability via hyperfine distribution and tunable exchange for local connectivity.
    Newly proposed modular structure that replaces conventional single-donor placement.

pith-pipeline@v0.9.0 · 5734 in / 1521 out tokens · 47727 ms · 2026-05-18T12:58:51.551301+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

65 extracted references · 65 canonical work pages · 1 internal anchor

  1. [1]

    B. E. Kane, A silicon-based nuclear spin quantum com- puter, Nature393, 133 (1998)

  2. [2]

    Loss and D

    D. Loss and D. P. DiVincenzo, Quantum computation 17 with quantum dots, Phys. Rev. A57, 120 (1998)

  3. [3]

    A. M. Tyryshkin, S. Tojo, J. J. Morton, H. Riemann, N. V. Abrosimov, P. Becker, H.-J. Pohl, T. Schenkel, M. L. Thewalt, K. M. Itoh,et al., Electron spin coherence exceeding seconds in high-purity silicon, Nat. Mater.11, 143 (2012)

  4. [4]

    Saeedi, S

    K. Saeedi, S. Simmons, J. Z. Salvail, P. Dluhy, H. Rie- mann, N. V. Abrosimov, P. Becker, H.-J. Pohl, J. J. L. Morton, and M. L. W. Thewalt, Room-temperature quantum bit storage exceeding 39 minutes using ionized donors in silicon-28, Science342, 830 (2013)

  5. [5]

    J. T. Muhonen, J. P. Dehollain, A. Laucht, F. E. Hud- son, R. Kalra, T. Sekiguchi, K. M. Itoh, D. N. Jamieson, J. C. McCallum, A. S. Dzurak, and A. Morello, Storing quantum information for 30 seconds in a nanoelectronic device, Nat. Nanotechnol.9, 986 (2014)

  6. [6]

    J. Y. Huang, R. Y. Su, W. H. Lim, M. Feng, B. van Straaten, B. Severin, W. Gilbert, N. Dumoulin Stuyck, T. Tanttu, S. Serrano, J. D. Cifuentes, I. Hansen, A. E. Seedhouse, E. Vahapoglu, R. C. C. Leon, N. V. Abrosi- mov, H.-J. Pohl, M. L. W. Thewalt, F. E. Hudson, C. C. Escott, N. Ares, S. D. Bartlett, A. Morello, A. Saraiva, A. Laucht, A. S. Dzurak, and C...

  7. [7]

    Steinacker, N

    P. Steinacker, N. Dumoulin Stuyck, W. H. Lim, T. Tanttu, M. Feng, S. Serrano, A. Nickl, M. Candido, J. D. Cifuentes, E. Vahapoglu, S. K. Bartee, F. E. Hud- son, K. W. Chan, S. Kubicek, J. Jussot, Y. Canvel, S. Beyne, Y. Shimura, R. Loo, C. Godfrin, B. Raes, S. Baudot, D. Wan, A. Laucht, C. H. Yang, A. Saraiva, C. C. Escott, K. De Greve, and A. S. Dzurak, ...

  8. [8]

    C. H. Yang, K. W. Chan, R. Harper, W. Huang, T. Evans, J. C. C. Hwang, B. Hensen, A. Laucht, T. Tanttu, F. E. Hudson, S. T. Flammia, K. M. Itoh, A. Morello, S. D. Bartlett, and A. S. Dzurak, Silicon qubit fidelities approaching incoherent noise limits via pulse engineering, Nat. Electron.2, 151 (2019)

  9. [9]

    Takeda, A

    K. Takeda, A. Noiri, T. Nakajima, J. Yoneda, T. Kobayashi, and S. Tarucha, Quantum tomography of an entangled three-qubit state in silicon, Nat. Nanotech- nol.16, 965 (2021)

  10. [10]

    Ruffino, T.-Y

    A. Ruffino, T.-Y. Yang, J. Michniewicz, Y. Peng, E. Charbon, and M. F. Gonzalez-Zalba, A cryo-CMOS chip that integrates silicon quantum dots and multi- plexed dispersive readout electronics, Nat. Electron.5, 53 (2022)

  11. [11]

    S. G. J. Philips, M. T. Mądzik, S. V. Amitonov, S. L. de Snoo, M. Russ, N. Kalhor, C. Volk, W. I. L. Lawrie, D. Brousse, L. Tryputen, B. P. Wuetz, A. Sammak, M. Veldhorst, G. Scappucci, and L. M. K. Vandersypen, Universal control of a six-qubit quantum processor in sil- icon, Nature609, 919 (2022)

  12. [12]

    C.-A. Wang, V. John, H. Tidjani, C. X. Yu, A. S. Ivlev, C.Déprez, F.vanRiggelen-Doelman, B.D.Woods, N. W. Hendrickx, W. I. L. Lawrie, L. E. A. Stehouwer, S. D. Oosterhout, A. Sammak, M. Friesen, G. Scappucci, S. L. de Snoo, M. Rimbach-Russ, F. Borsoi, and M. Veld- horst,Operatingsemiconductorquantumprocessorswith hopping spins, Science385, 447 (2024)

  13. [13]

    M. T. M¸ adzik, S. Asaad, A. Youssry, B. Joecker, K. M. Rudinger, E. Nielsen, K. C. Young, T. J. Proctor, A. D. Baczewski, A. Laucht, V. Schmitt, F. E. Hudson, K. M. Itoh, A. M. Jakob, B. C. Johnson, D. N. Jamieson, A. S. Dzurak, C. Ferrie, R. Blume-Kohout, and A. Morello, Precision tomography of a three-qubit donor quantum processor in silicon, Nature601...

  14. [14]

    Thorvaldson, D

    I. Thorvaldson, D. Poulos, C. M. Moehle, S. H. Misha, H. Edlbauer, J. Reiner, H. Geng, B. Voisin, M. T. Jones, M. B. Donnelly, L. F. Peña, C. D. Hill, C. R. Myers, J. G. Keizer, Y. Chung, S. K. Gorman, L. Kranz, and M. Y. Simmons, Grover’s algorithm in a four-qubit sil- icon processor above the fault-tolerant threshold, Nat. Nanotechnol.20, 472 (2025)

  15. [15]

    Edlbauer, J

    H. Edlbauer, J. Wang, A. M. S.-E. Huq, I. Thorvald- son, M. T. Jones, S. H. Misha, W. J. Pappas, C. M. Moehle, Y.-L. Hsueh, H. Bornemann, S. K. Gorman, Y. Chung, J. G. Keizer, L. Kranz, and M. Y. Sim- mons, An 11-qubit atom processor in silicon., Preprint at https://arxiv.org/abs/2506.03567 (2025)

  16. [16]

    H. G. Stemp, S. Asaad, M. R. v. Blankenstein, A. Vaart- jes, M. A. I. Johnson, M. T. Mądzik, A. J. A. Hes- kes, H. R. Firgau, R. Y. Su, C. H. Yang, A. Laucht, C. I. Ostrove, K. M. Rudinger, K. Young, R. Blume- Kohout, F. E. Hudson, A. S. Dzurak, K. M. Itoh, A. M. Jakob, B. C. Johnson, D. N. Jamieson, and A. Morello, Tomography of entangling two-qubit logi...

  17. [17]

    C. D. Hill, E. Peretz, S. J. Hile, M. G. House, M. Fuech- sle, S. Rogge, M. Y. Simmons, and L. C. L. Hollenberg, A surface code quantum computer in silicon, Sci. Adv.1, e1500707 (2015)

  18. [18]

    G. Tosi, F. A. Mohiyaddin, V. Schmitt, S. Tenberg, R. Rahman, G. Klimeck, and A. Morello, Silicon quan- tum processor with robust long-distance qubit couplings, Nat. Commun.8, 450 (2017)

  19. [19]

    Fox, and R

    J.Wyrick, X.Wang, P.Namboodiri, R.V.Kashid, F.Fei, J. Fox, and R. Silver, Enhanced Atomic Precision Fabri- cation by Adsorption of Phosphine into Engineered Dan- gling Bonds on H–Si Using STM and DFT, ACS Nano 16, 19114 (2022)

  20. [20]

    Rahman, G

    R. Rahman, G. P. Lansbergen, S. H. Park, J. Verduijn, G. Klimeck, S. Rogge, and L. C. L. Hollenberg, Or- bital stark effect and quantum confinement transition of donors in silicon, Phys. Rev. B80, 165314 (2009)

  21. [21]

    Voisin, J

    B. Voisin, J. Bocquel, A. Tankasala, M. Usman, J. Salfi, R. Rahman, M. Y. Simmons, L. C. L. Hollenberg, and S. Rogge, Valley interference and spin exchange at the atomic scale in silicon, Nat. Commun.11, 6124 (2020)

  22. [22]

    Monir, E

    S. Monir, E. N. Osika, S. K. Gorman, I. Thorvaldson, Y.- L. Hsueh, P. Macha, L. Kranz, J. Reiner, M. Y. Simmons, and R. Rahman, Impact of measurement backaction on nuclear spin qubits in silicon, Phys. Rev. B109, 035157 (2024)

  23. [23]

    N. Yu, R. Duan, and M. Ying, Five two-qubit gates are necessary for implementing the toffoli gate, Phys. Rev. A 88, 010304 (2013)

  24. [24]

    J. J. Pla, K. Y. Tan, J. P. Dehollain, W. H. Lim, J. J. Morton, F. A. Zwanenburg, D. N. Jamieson, A. S. Dzu- rak, and A. Morello, High-fidelity readout and control of a nuclear spin qubit in silicon, Nature496, 334 (2013)

  25. [25]

    J. P. Bonilla Ataides, D. K. Tuckett, S. D. Bartlett, S. T. Flammia, and B. J. Brown, The XZZX surface code, Nat. Commun.12, 2172 (2021)

  26. [26]

    Roffe, L

    J. Roffe, L. Z. Cohen, A. O. Quintavalle, D. Chandra, 18 and E. T. Campbell, Bias-tailored quantum LDPC codes, Quantum7, 1005 (2023)

  27. [27]

    Y. Wang, A. Tankasala, L. C. L. Hollenberg, G. Klimeck, M. Y. Simmons, and R. Rahman, Highly tunable ex- change in donor qubits in silicon, npj Quantum Inf.2, 16008 (2016)

  28. [28]

    T. A. Baart, T. Fujita, C. Reichl, W. Wegscheider, and L. M. Vandersypen, Coherent spin-exchange via a quan- tum mediator, Nat. Nanotechnol.12, 26 (2017)

  29. [29]

    Y. He, S. K. Gorman, D. Keith, L. Kranz, J. G. Keizer, and M. Y. Simmons, A two-qubit gate between phospho- rus donor electrons in silicon, Nature571, 371 (2019)

  30. [30]

    Rahman, Superexchange coupling of donor qubits in silicon, Phys

    M.M.Munia, S.Monir, E.N.Osika, M.Y.Simmons,and R. Rahman, Superexchange coupling of donor qubits in silicon, Phys. Rev. Appl.21, 014038 (2024)

  31. [31]

    M. R. Hogg, P. Pakkiam, S. K. Gorman, A. V. Timo- feev, Y. Chung, G. K. Gulati, M. G. House, and M. Y. Simmons, Single-shot readout of multiple donor electron spins with a gate-based sensor, PRX Quantum4, 010319 (2023)

  32. [32]

    Kranz, S

    L. Kranz, S. Roche, S. K. Gorman, J. G. Keizer, and M. Y. Simmons, High-fidelity cnot gate for donor elec- tron spin qubits in silicon, Phys. Rev. Appl.19, 024068 (2023)

  33. [33]

    Volk, A.-M

    C. Volk, A.-M. J. Zwerver, U. Mukhopadhyay, P. T. Een- debak, C. J. van Diepen, J. P. Dehollain, T. Hensgens, T. Fujita, C. Reichl, W. Wegscheider,et al., Loading a quantum-dot based “qubyte” register, npj Quantum In- formation5, 29 (2019)

  34. [34]

    Mills, D

    A. Mills, D. Zajac, M. Gullans, F. Schupp, T. Hazard, and J. R. Petta, Shuttling a single charge across a one- dimensional array of silicon quantum dots, Nature com- munications10, 1063 (2019)

  35. [35]

    J.Krzywda, W.Liu, E.vanNieuwenburg,andO.Krause, Qdarts: A quantum dot array transition simulator for finding charge transitions in the presence of finite tun- nel couplings, non-constant charging energies and sensor dots, SciPost Physics Codebases , 043 (2025)

  36. [36]

    Donnelly, J

    M. Donnelly, J. Rowlands, L. Kranz, Y. Hsueh, Y. Chung, A. Timofeev, H. Geng, P. Singh-Gregory, S. Gorman, J. Keizer, R. Rahman, and M. Simmons, Noise correlations in an atom-based quantum dot array, Phys. Rev. Appl.23, 064058 (2025)

  37. [37]

    Y.-H. Wu, L. C. Camenzind, P. Bütler, I. K. Jin, A. Noiri, K. Takeda, T. Nakajima, T. Kobayashi, G. Scappucci, H.-S. Goan,et al., Simultaneous high- fidelity single-qubit gates in a spin qubit array, Preprint at https://arxiv.org/abs/2507.11918 (2025)

  38. [38]

    N. P. Breuckmann and J. N. Eberhardt, Quantum low- density parity-check codes, PRX Quantum2, 040101 (2021)

  39. [39]

    A. O. Quintavalle, M. Vasmer, J. Roffe, and E. T. Camp- bell, Single-shot error correction of three-dimensional homological product codes, PRX Quantum2, 020340 (2021)

  40. [40]

    Huang, A

    E. Huang, A. Pesah, C. T. Chubb, M. Vasmer, and A. Dua, Tailoring three-dimensional topological codes for biased noise, PRX Quantum4, 030338 (2023)

  41. [41]

    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)

  42. [42]

    P. W. Shor, Scheme for reducing decoherence in quantum computer memory, Phys. Rev. A52, R2493 (1995)

  43. [43]

    An Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computation

    D. Gottesman, An introduction to quantum error correc- tion and fault-tolerant quantum computation., Preprint at https://arxiv.org/abs/0904.2557 (2009)

  44. [44]

    Kelly, R

    J. Kelly, R. Barends, A. G. Fowler, A. Megrant, E. Jef- frey, T. C. White, D. Sank, J. Y. Mutus, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, I.-C. Hoi, C. Neill, P. J. J. O’Malley, C. Quintana, P. Roushan, A. Vainsencher, J. Wenner, A. N. Cleland, and J. M. Martinis, State preservation by repetitive error detection in a superconducting quantum...

  45. [45]

    Leroux, C

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

  46. [46]

    Yoneda, T

    J. Yoneda, T. Otsuka, T. Takakura, M. Pioro-Ladrière, R. Brunner, H. Lu, T. Nakajima, T. Obata, A. Noiri, C. J. Palmstrøm, A. C. Gossard, and S. Tarucha, Ro- bust micromagnet design for fast electrical manipulations of single spins in quantum dots, Appl. Phys. Express8, 084401 (2015)

  47. [47]

    Huang and X

    P. Huang and X. Hu, Spin qubit relaxation in a moving quantum dot, Phys. Rev. B88, 075301 (2013)

  48. [48]

    Fujita, T

    T. Fujita, T. A. Baart, C. Reichl, W. Wegscheider, and L. M. K. Vandersypen, Coherent shuttle of electron-spin states, npj Quantum Inf.3, 22 (2017)

  49. [49]

    Seidler, T

    I. Seidler, T. Struck, R. Xue, N. Focke, S. Trellenkamp, H. Bluhm, and L. R. Schreiber, Conveyor-mode single- electron shuttling in Si/SiGe for a scalable quantum com- puting architecture, npj Quantum Inf.8, 100 (2022)

  50. [50]

    Langrock, J

    V. Langrock, J. A. Krzywda, N. Focke, I. Seidler, L. R. Schreiber, and L. Cywiński, Blueprint of a scalable spin qubit shuttle device for coherent mid-range qubit trans- fer in disordered si/sige/sio2, PRX Quantum4, 020305 (2023)

  51. [51]

    R. Xue, M. Beer, I. Seidler, S. Humpohl, J.-S. Tu, S. Trel- lenkamp, T. Struck, H. Bluhm, and L. R. Schreiber, Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity func- tion, Nat. Commun.15, 2296 (2024)

  52. [52]

    De Smet, Y

    M. De Smet, Y. Matsumoto, A.-M. J. Zwerver, L. Try- puten, S. L. de Snoo, S. V. Amitonov, S. R. Katiraee-Far, A. Sammak, N. Samkharadze, o. Gul, R. N. M. Wasser- man, E. Greplova, M. Rimbach-Russ, G. Scappucci, and L. M. K. Vandersypen, High-fidelity single-spin shuttling in silicon, Nat. Nanotechnol.20, 866 (2025)

  53. [53]

    Borjans, X

    F. Borjans, X. G. Croot, X. Mi, M. J. Gullans, and J. R. Petta, Resonant microwave-mediated interactions between distant electron spins, Nature577, 195 (2020)

  54. [54]

    Harvey-Collard, J

    P. Harvey-Collard, J. Dijkema, G. Zheng, A. Sammak, G. Scappucci, and L. M. K. Vandersypen, Coherent spin- spin coupling mediated by virtual microwave photons, Phys. Rev. X12, 021026 (2022)

  55. [55]

    C. X. Yu, S. Zihlmann, J. C. Abadillo-Uriel, V. P. Michal, N. Rambal, H. Niebojewski, T. Bedecarrats, M. Vinet, E. Dumur, M. Filippone, B. Bertrand, S. De Franceschi, Y.-M. Niquet, and R. Maurand, Strong coupling between a photon and a hole spin in silicon, Nat. Nanotechnol.18, 741 (2023)

  56. [56]

    Dijkema, X

    J. Dijkema, X. Xue, P. Harvey-Collard, M. Rimbach- Russ, S.L.deSnoo, G.Zheng, A.Sammak, G.Scappucci, and L. M. K. Vandersypen, Cavity-mediated iSWAP 19 oscillations between distant spins, Nat. Phys.21, 168 (2025)

  57. [57]

    V.N.Golovach, M.Borhani,andD.Loss,Electric-dipole- induced spin resonance in quantum dots, Phys. Rev. B 74, 165319 (2006)

  58. [58]

    Tokura, W

    Y. Tokura, W. G. van der Wiel, T. Obata, and S. Tarucha, Coherent single electron spin control in a slantingzeemanfield,Phys.Rev.Lett.96,047202(2006)

  59. [59]

    F. K. Unseld, B. Undseth, E. Raymenants, Y. Mat- sumoto, S. L. de Snoo, S. Karwal, O. Pietx-Casas, A. S. Ivlev, M. Meyer, A. Sammak, M. Veldhorst, G. Scap- pucci, and L. M. K. Vandersypen, Baseband control of single-electron silicon spin qubits in two dimensions, Nat. Commun.16, 5605 (2025)

  60. [60]

    Salfi, J

    J. Salfi, J. A. Mol, D. Culcer, and S. Rogge, Charge- insensitive single-atom spin-orbit qubit in silicon, Phys. Rev. Lett.116, 246801 (2016)

  61. [61]

    Zhang, Y

    S. Zhang, Y. He, and P. Huang, Acceptor-based qubit in silicon with tunable strain, Phys. Rev. B107, 155301 (2023)

  62. [62]

    X. Yu, B. Wilhelm, D. Holmes, A. Vaartjes, D. Schwien- bacher, M. Nurizzo, A. Kringhøj, M. R. v. Blankenstein, A. M. Jakob, P. Gupta, F. E. Hudson, K. M. Itoh, R. J. Murray, R. Blume-Kohout, T. D. Ladd, N. Anand, A. S. Dzurak, B. C. Sanders, D. N. Jamieson, and A. Morello, Schrödinger cat states of a nuclear spin qudit in silicon, Nat. Phys.21, 362 (2025)

  63. [63]

    Gupta, A

    P. Gupta, A. Vaartjes, X. Yu, A. Morello, and B. C. Sanders, Robust macroscopic schrödinger’s cat on a nu- cleus, Phys. Rev. Res.6, 013101 (2024)

  64. [64]

    V.Srinivasa, H.Xu,andJ.M.Taylor,Tunablespin-qubit couplingmediatedbyamultielectronquantumdot,Phys. Rev. Lett.114, 226803 (2015)

  65. [65]

    F. K. Malinowski, F. Martins, T. B. Smith, S. D. Bartlett, A. C. Doherty, P. D. Nissen, S. Fallahi, G. C. Gardner, M. J. Manfra, C. M. Marcus, and F. Kuem- meth, Spin of a multielectron quantum dot and its in- teraction with a neighboring electron, Phys. Rev. X8, 011045 (2018)