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Static nearest-neighbour lattice cx_nn

A coupling graph fixed at mask level in which each qubit interacts only with lithographic neighbours; the default topology under every fielded superconducting and spin processor.

Static nearest-neighbour lattice

cx_nn · layer 4 Connectivity / transport · demonstrated · since 2014

Heavy-hex (degree 2.3) or square lattice (degree 3.5–3.6) with on-chip couplers; ZZ crosstalk is the tax.

Brief →

Key references

[284] R. Barends et al., “Superconducting quantum circuits at the surface code threshold for fau… · 2014
[476] C. Chamberland, G. Zhu, T. J. Yoder, J. B. Hertzberg, and A. W. Cross, “Topological and su… · 2019
[49] IBM, “IBM Delivers New Quantum Processors, Software, and Algorithm Breakthroughs on Path t… · 2025
[1] Google Quantum AI and Collaborators, “Quantum error correction below the surface code thre… · 2024
[36] Rigetti Computing, Inc., “Rigetti Announces General Availability of 108-Qubit System,” Apr… · 2026

Design space — attributes

(a) carrier affinity
fabricated
(b) time · entangling
—
(c) readout
—
(d) mobility
static nearest-neighbour wiring
(e) control
—
(f) error structure
coherent / calibration
(g) manufacturing
superconducting lithography

Evaluation space — dated attributes

Nighthawk → 120 q, 218 couplers, 5,000 2Q gates/circuit
defines: count with quality · 2025-11 · source
CZ crosstalk (fitted budget term, Willow d=7) → 5.5×10⁻⁴
defines: error channel · 2024-08 · source

The 5.5×10⁻⁴ is a fitted component of the Willow error budget, not a directly measured crosstalk figure. EUV is a single point of failure for the spin branch only — no fielded transmon lattice uses it. Rigetti: median 2Q 99.5% at 36 q falls to 99.1% at 108 q (12 chiplets).

Standard records

connectivity degree → 3.63 · typical
IBM Nighthawk: '120 qubits linked together with 218 next-generation tunable couplers' in a square lattice -> mean degree 2x218/120 = 3.63 · 2025-11 · source [C] ⓘ
transport per round → 0.0 ns · typical
Zero by construction: a static coupler lattice moves no qubits; the whole 1.1 us Willow / 921 ns Sycamore cycle is gates, measure, reset · 2023-02 · source [G] ⓘ

Edges

needed by: Rotated surface code (+ yoked variants)°, Colour code (transversal Cliffords)°
alternatives: Long-range on-chip couplers (c-couplers, mm-scale), Spin shuttling (conveyor mode), Crossbar shared-line control (spins)
conflicts with:
High-rate concatenated codes with transversal gates open — no mitigation shown at scale
needs all-to-all connectivity
price no nearest-neighbour device has run a high-rate code beyond the four-qubit [[4,2,2]] detection code; on a static lattice the non-local checks need SWAP networks whose depth grows with the check span, and errors accumulate with it
mitigation long-range on-chip couplers (IBM c-couplers, Loon 2025-11) or physical transport (atoms, ions) · 2025-06
Non-local qLDPC codes (bivariate bicycle, 'gross') open — no mitigation shown at scale
needs degree ≥ 6; heavy-hex insufficient without c-couplers
price bivariate bicycle codes need a degree-6 Tanner graph — two long-range connections per qubit — which heavy-hex (degree 2–3) cannot provide; without c-couplers no gross code runs
mitigation c-couplers (Loon), then Kookaburra module; measured coupler fidelity and length not yet published · 2024-03
Algorithmic FT / transversal architectures bypassed by choosing another technology in place of one of the two
transversal permutations need transport
price transversal gates between logical blocks need block-to-block qubit permutations; on a static lattice that is O(d) SWAP depth per logical gate, which erases the constant-depth advantage
mitigation physical transport (AOD tweezers, ion shuttling) — the reason the architecture is atom/ion-native · 2025-09
3D machined superconducting cavities open — no mitigation shown at scale
cm-scale cavities cannot tile dense 2D lattices
price cm-scale machined cavities give ~1 mode per cm²; a dense 2D lattice of them is impossible, so 3D bosonic qubits stop at a few tens of modes per module
mitigation mm-scale coaxial λ/4 and double-post cavities, or planar bosonic modes; density still an order below transmon lattices · 2026-07
° one of several that would do · the usual route, not a strict need

Used by 97 machines (96 primary · 1 alternate)

↗ its register card · paper / product / press: links that name the machine (attribution checked on 20 Sep 2026)

Pictures

Every picture carries the story of what it shows and its credit line.

Fig. 9 — Figure 9: Images of the 64-qubit device. (a) Photograph of the 64-qubit chip. The unit cell containing the measured qubit is highlighted. (b) False-…
Two optical images: (a) a photograph of a whole 64-qubit superconducting chip (5 mm scale bar) tiled with sixteen four-qubit unit cells over a regular grid of dark circular features; (b) a false-coloured close-up (1 mm scale bar) of one unit cell with readout resonators, filter resonators, qubits, qubit–qubit couplers and, at its centre, a through-silicon via connecting to the readout feedline. It is Figure 9 of arXiv 2608.25484 by Spring, Hesse, Wang, Tamate and Nakamura. It shows out-of-plane wiring in practice: signals reach the middle of a large qubit array through the substrate instead of from the chip edge. “Fig. 9 — Figure 9: Images of the 64-qubit device. (a) Photograph of the 64-qubit chip. The unit cell containing the measured qubit is highlighted. (b) False-colored…” by Peter A. Spring, Adrian L. Hesse, Shiyu Wang, Shuhei Tamate, Yasunobu Nakamura, arxiv.org/abs/2608.25484, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 3 — NL-based benchmarking using LR-QAOA for WMC problems; (a) QPU layouts used in each experiment
Three-panel paper figure made of drawings and data plots, from an arXiv paper by J. A. Montanez-Barrera, Kristel Michielsen and David E. Bernal Neira (2025-05-28) on benchmarking processors with linear-ramp QAOA. Panel (a) draws the qubit coupling graphs of 5-, 20-, 127-, 133- and 156-qubit processors, including IBM Heron devices; panels (b) and (c) plot approximation ratio against the number of QAOA layers. Notice the fixed nearest-neighbour lattices: the sparse heavy-hex patterns versus the denser square lattice limit which qubits can interact directly. “Fig. 3 — NL-based benchmarking using LR-QAOA for WMC problems; (a) QPU layouts used in each…” by J. A. Montanez-Barrera, Kristel Michielsen, David E. Bernal Neira, arxiv.org/abs/2502.06471, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 5 — Figure 5: Localization measures in a 2D transmon array. a) Sketch of the low-frequency sector of the device spectrum, which is structured in bands.…
A three-panel theory figure, drawn and plotted rather than photographed: a sketch of the energy bands of a 2D transmon array, a plot of eigenstate localization versus distance, and two 5x5 lattice heat maps of alternating qubit and coupler tiles. It is Figure 5 of "Multi-Target Density Matrix Renormalization Group X algorithm and its application to circuit quantum electrodynamics" by Sofía González-García, Aaron Szasz and co-authors (arXiv). It concerns static nearest-neighbour superconducting lattices; notice the qubit eigenstate stays local while the coupler eigenstate spreads to distant couplers. “Fig. 5 — Figure 5: Localization measures in a 2D transmon array. a) Sketch of the low-frequency sector of the device spectrum, which is structured in bands. The first…” by Sofía González-García, Aaron Szasz, Alice Pagano, Dvir Kafri, Guifré Vidal, Agustin Di Paolo, arxiv.org/abs/2506.24109, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
cx_nn · layer 4 Connectivity / transport · centrality 13.4 · demonstrated · since 2014 · updated 2026-09-30

Static nearest-neighbour lattice

A coupling graph fixed at mask level in which each qubit interacts only with lithographic neighbours; the default topology under every fielded superconducting and spin processor.

Verdict. Not a design choice but the residue of planar lithography. It caps codes at the surface/colour family by geometry, and every announced escape from it is roadmap, not hardware.

Key references

Λ = error-suppression factor per code-distance step; QBI = DARPA Quantum Benchmarking Initiative (Stage A concept → B R&D plan → C government V&V); G1–G7 = the report's goal classes (see Actors & economics).

Identity & lineage

A connectivity primitive, not a qubit type: the interaction graph is frozen at mask level, each site coupling only to lithographic neighbours, because capacitive/inductive and exchange couplings decay over microns and nanometres. The anchor is Barends et al. (Google/UCSB, 2014-02): five Xmon qubits in a linear nearest-neighbour array, 2Q up to 99.4%, at the surface-code threshold D[284]. IBM's heavy-hex arrived in 2019 as a code construction — a surface/Bacon–Shor hybrid with flag qubits, cutting fixed-frequency collisions "by several orders of magnitude" at the cost of coordination number S[476]; the flagship has since returned to a square lattice C[49].
Attributes: fully fabricated affinity; no time constant, readout or control of its own — a topology, not a device; static, lithographic, coherent error: "heavy-hex (degree 2.3) or square lattice (degree 3.5–3.6) with on-chip couplers; ZZ crosstalk is the tax" (graph record).

Physics & limits

The floor is not a coherence floor. Always-on coupling leaves residual ZZ; tunable couplers null the static part but add a flux line, a leakage path and flux-noise susceptibility S[476]. In the only published full error budget at code scale — Google's d=7 run on Willow — CZ crosstalk contributes 5.5×10⁻⁴ D[1]. The binding constraint is geometric: a stabiliser code with 2D-local checks obeys the Bravyi–Poulin–Terhal bound kd² ≲ n, so this topology hosts only the surface/colour family at order 2d² physical qubits per logical one — a rate no better qubit can raise. The second tax is routing: an arbitrary interaction on a degree-2.3–3.6 graph costs SWAP depth scaling with lattice diameter. Only breaking 2D locality moves the floor.

For digital simulation of time-independent, finite-range lattice Hamiltonians in a fixed dimension, nearest-neighbour connectivity is near-optimal: a nearest-neighbour circuit reaches depth O(T log(nT/ε)) with O(nT log(nT/ε)) gates and O(n) ancilla qubits, for n qubits, evolution time T and error ε, against an unconditional lower bound of Ω(log n / log log n) depth for uniform XXZ dynamics at fixed time P[894]. The count assumes exact single-qubit rotations; synthesis over a finite gate set adds a polylogarithmic factor.

Engineering state of the art

Best demonstrated is an isolated pair: IQM's flux-tunable-coupler CZ at 99.93% over 40 hours, with 99.98% 1Q and >99.94% simultaneous readout on the same device D[38]. Typical at scale is IBM's fleet error per layered gate, 3.7×10⁻³ typical and 1.9×10⁻³ best (July 2026), measured full-width D[33]. That ≈5× gap between a characterised pair and a full-width layer is the lattice tax; inside it the two-qubit gate dominates, about 40% of Google's colour-code budget D[41]. Foundry spin arrays sit a generation behind, 2Q 99.04–99.56% D[189].

table
Year Figure Who Tag+key
2014-02 Five-qubit linear array, 2Q up to 99.4% Google/UCSB D[284]
2024-12 d=7 surface code, 105 q, Λ=2.14; CZ crosstalk 5.5×10⁻⁴ Google Quantum AI D[1]
2025-11 Nighthawk: 120 q, 218 couplers, 5,000 2Q gates per circuit IBM C[49]
2026-04 Twelve chiplets tiled into 108 q, median 2Q 99.1% (99.5% at 36 q) Rigetti C[36]

Manufacturing, materials & supply chain

Superconducting lattices are Nb/Al junction films patterned by DUV or e-beam; EUV is not required and no fielded transmon lattice uses it — IBM runs 300 mm at Albany, Google in-house. Spin dot arrays are foundry-native and EUV-dependent: Intel 300 mm, >24,000 devices per wafer D[199] and 96% tune-up yield on 232 devices of one wafer D[766]; GlobalFoundries 22FDX for Quantum Motion; STMicroelectronics FD-SOI for Quobly Cfact. Uniformity, not peak fidelity, limits that branch: imec's eight-qubit device had a validated two-qubit gate on one of four pairs D[197]. Export exposure attaches to the machine, not the topology (ECCN 4A906, 3A904, 3A901.a) G[301].

Control, readout & I/O burden

The lattice buys no wiring saving. Nighthawk carries 218 tunable couplers for 120 qubits: the coupler count — roughly 1.8 flux lines per qubit above drive and readout — sets the harness C[49]. At 10³ the harness is buildable; at 10⁴ it binds on cryostat area and heat load, which IBM's 0.53 m² wiring area and 2.75 m³ vacuum volume per modular cell are sized against C[50]; at 10⁶ nothing at room temperature closes. Both mitigations sit far below lattice scale: SEEQC's millikelvin SFQ control flip-chip-integrated with qubits, 1Q up to 99.9% D[304], and HRL's 4 K cryo-CMOS sequencer running 18 qubits with no room-temperature real-time electronics D[190].

Role in the stack

It underlies the transmon architecture (IBM, Google, Rigetti, IQM, Fujitsu), the bosonic and dual-rail superconducting architectures, the silicon and germanium quantum-dot spin architecture (Intel, Diraq, Quantum Motion, HRL→IBM), the silicon donor-spin architecture, defect-spin nodes and the topological tetron (Majorana) architecture. It provides the 2D-local checks the rotated surface and colour codes need, and is the alternative to long-range on-chip couplers, shuttled spins and shared-line crossbars; switching costs a mask redesign. It conflicts with degree-≥6 qLDPC codes, all-to-all high-rate codes, transversal-permutation schemes and cm-scale 3D cavities. Having no transport step it adds zero to the transport term of the derived clock (= sum of the syndrome round: gate layers + transport + readout + reset); its cost hides in the gate term as SWAP depth. The neighbouring empty slot is a degree-≥6 static lattice at parity fidelity with degree-3.5.

Evidence — how the numbers were measured

Crosstalk and coupler figures come from randomised or cross-entropy benchmarking on pairs or small subsets. The 5.5×10⁻⁴ CZ crosstalk is a fitted component of Google's device-wide error budget, not an independent measurement; no vendor publishes full-lattice simultaneous crosstalk. Error per layered gate is the only full-width metric in fleet use and only IBM reports it, so cross-vendor comparison of the lattice tax is impossible today. Rigetti's 99.5%→99.1% median drop across its 36→108-qubit tiling is unattributed C[36].

The PatSnap patent counts come from secondary sources.

Actors & economics

Who.
| Organisation | Role | Country | What exactly they do | Evidence |
|---|---|---|---|---|
| IBM | Developer | US | Heavy-hex then square lattices; Nighthawk 120 q | C[49] |
| Google | Developer | US | Square lattices; d=7 code on 105 qubits | D[1] |
| Rigetti | Developer | US | Tiles chiplets into 108 qubits | C[36] |
| IQM | Developer | FI | Transmon line; isolated-pair CZ 99.93% | D[38] |
| GlobalFoundries | Supplier | US | 22FDX spin-dot wafers | Cfact |

Money.

  • 2026-05-21 · US Dept of Commerce · CHIPS letters of intent, nine firms (IBM/Anderon $1 B, GlobalFoundries $375 M, Diraq ≤$38 M) · $2.013 B · LOI, non-binding fact
  • 2026-06-02 · IBM · five-year quantum commitment · >$10 B · announced Cfact
  • 2026-07-02 · IQM · Nasdaq/Helsinki listing · cash €337 M pro-forma · closed Cfact
  • 2026-08 · Rigetti · Q2-2026 results · revenue $5.1 M, cash $541.3 M · reported Cfact

Market & supply chain. Transmon lattices consume DUV/e-beam tooling, flip-chip bonders, TWPA amplifiers and control racks; spin lattices consume ASML EUV inside Intel, GlobalFoundries and STMicroelectronics — a single point of failure the superconducting branch does not share. G1–G3 pay for the lattice; G4 is the goal it cannot reach unaided.

IP & standards. The IP is coupler-level: IBM US 11,727,297 B2 (granted 2023-08-15) claims an opposite-sign second coupling path cancelling coherent error Pfact. Aggregate quantum families in PatSnap's landscape published on 2026-06-30: IBM 4,388, Google 2,385 P[312]. No topology standard exists.

Roadmaps & track record. IBM Nighthawk (promised 2025-06-10, for 2025, delivered 2025-12) Cfact; Kookaburra, the first step off pure nearest-neighbour connectivity (promised 2022-05-10 for 2025, redefined for 2026, undelivered as of 2026-09-04) Rfact; Rigetti median 99.5% at 108 q (promised for end-2025, slipped to "later 2026", unmet) Rfact. IBM ships the base lattice on time and misses every date beyond it.

Strategic reading. If this topology stays the only manufacturable one, the winners own 2D-local decoding and yield — IBM and Google in superconductors, CMOS foundries in spins — and the losers are high-rate-code startups betting on connectivity nobody can fabricate. If degree rises, leverage moves to coupler and packaging IP — what IBM's coupler patents and the HRL purchase buy.

Outlook & open questions

Confirm or demote within 12–24 months: does Kookaburra ship a qLDPC memory on c-coupled hardware or slip again; does Rigetti reach median 99.5% at 108 qubits; does any vendor publish a full-lattice simultaneous-crosstalk number. Best case by 2029: degree-6 on-chip routing ships without a fidelity penalty and a planar lattice hosts a high-rate memory. Worst case: coordination stays near 3.5 and scale is bought with 2d² overhead. Open: whether the pair-to-full-width gap is intrinsic.

References
  1. [1] Google Quantum AI and Collaborators, “Quantum error correction below the surface code threshold,” Nature, vol. 638, no. 8052, pp. 920–926, Dec. 2024, doi: 10.1038/s41586-024-08449-y. D
  2. [33] IBM, “IBM Quantum Computing — Hardware and roadmap.” [Online]. Available: https://www.ibm.com/quantum/hardware D
  3. [36] Rigetti Computing, Inc., “Rigetti Announces General Availability of 108-Qubit System,” Apr. 7, 2026. [Online]. Available: https://investors.rigetti.com/news-releases/news-release-details/rigetti-announces-general-availability-108-qubit-system C
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  6. [49] IBM, “IBM Delivers New Quantum Processors, Software, and Algorithm Breakthroughs on Path to Advantage and Fault Tolerance,” Nov. 12, 2025. [Online]. Available: https://newsroom.ibm.com/2025-11-12-ibm-delivers-new-quantum-processors,-software,-and-algorithm-breakthroughs-on-path-to-advantage-and-fault-tolerance C
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  8. [189] P. Steinacker et al., “Industry-compatible silicon spin-qubit unit cells exceeding 99% fidelity,” Nature, vol. 646, no. 8083, pp. 81–87, Sep. 2025, doi: 10.1038/s41586-025-09531-9. D
  9. [190] Members of the HRL Quantum Team and Collaborators, “A digitally controlled silicon quantum processing unit,” arXiv:2604.16216, Apr. 2026. D
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  12. [284] R. Barends et al., “Superconducting quantum circuits at the surface code threshold for fault tolerance,” Nature, vol. 508, no. 7497, pp. 500–503, Apr. 2014, doi: 10.1038/nature13171. arXiv:1402.4848. D
  13. [301] US Department of Commerce, Bureau of Industry and Security, “Commerce Control List Additions and Revisions; Implementation of Controls on Advanced Technologies Consistent With Controls Implemented by International Partners,” Federal Register, vol. 89, p. 72926, Sep. 6, 2024. [Online]. Available: https://www.federalregister.gov/documents/2024/09/06/2024-19633/commerce-control-list-additions-and-revisions-implementation-of-controls-on-advanced-technologies G
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  16. [476] C. Chamberland, G. Zhu, T. J. Yoder, J. B. Hertzberg, and A. W. Cross, “Topological and subsystem codes on low-degree graphs with flag qubits,” arXiv:1907.09528, Jul. 2019. S
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