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Colour code (transversal Cliffords) code_color

Triangular 2D stabiliser code whose whole Clifford group acts transversally, skipping lattice surgery, at roughly 1.9× the surface code's teraquop footprint (physical qubits per logical qubit for 10¹² reliable operations).

Colour code (transversal Cliffords)

code_color · layer 7 Code · demonstrated · since 2024

Triangular 2D code with transversal H/S/CNOT; ~1.9× the surface-code footprint; hosts distillation and injection.

Brief →

Key references

[663] H. Bombín and M. A. Martin-Delgado, “Topological Quantum Distillation,” Phys. Rev. Lett., … · 2006
[41] N. Lacroix et al., “Scaling and logic in the color code on a superconducting quantum proce… · 2025
[655] C. Gidney and C. Jones, “New circuits and an open source decoder for the color code,” arXi… · 2023
[147] P. S. Rodriguez et al., “Experimental demonstration of logical magic state distillation,” … · 2025
[2] V. Sivak et al., “Reinforcement learning control of quantum error correction,” Nature, vol… · 2026

Design space — attributes

(a) carrier affinity
intermediate / carrier-agnostic
(b) time · entangling
—
(c) readout
—
(d) mobility
static nearest-neighbour wiring
(e) control
—
(f) error structure
stochastic Pauli
(g) manufacturing
—

Evaluation space — dated attributes

Λ₃/₅ (Google) → 1.56(4); logical Clifford 0.0027
defines: error channel · 2025-05 · source
5-to-1 distillation on logical qubits → d=3: 95.1%→99.4%; d=5: 92.5%→98.6%
defines: error channel · 2025-07 · source

Standard records

2Q layers per syndrome round → 8 · typical
Superdense colour-code round = 'a reset step, 8 CNOT steps, and a measurement step' (midout circuit: 6 CNOT steps) · 2025-10 · source [D] ⓘ
1Q layers per round → not published · typical
Not published: Google decomposes the superdense CNOTs into CZ + Hadamards but states no single-qubit layer count per round · 2024-12 · source [D] ⓘ
code rate k/n → 0.0526 · typical
Google d=5 triangular colour code [[19,1,5]]: '19 data qubits and 18 auxiliary qubits'; total 3d^2/2 - 1/2 = 37 qubits · 2024-12 · source [D] ⓘ
acceptance fraction → 0.75 · best
Google colour-code magic-state injection: 'fidelities exceeding 99% with post-selection (retaining about 75% of the data)' · 2024-12 · source [D] ⓘ

Actors & goals — annotations

Transmon lattice with tunable couplers (alternate) — IBM (Heron, Nighthawk), Google (Willow), Rigetti, IQM, OQC, USTC/Zhejiang, Fujitsu/RIKEN, QuantWare · G2 G3 G4
Trapped ions — QCCD (transport between zones) (alternate) — Quantinuum (H1, H2, Helios, Sol), Universal Quantum · G2 G3 G6 G7
Trapped ions — linear Paul trap with individual laser addressing (alternate) — IonQ (Aria, Forte, Tempo), AQT, Qudoor, Maryland/Duke (EURIQA), Innsbruck · G2 G3 G6 G7
Rydberg tweezer array — alkali (Rb/Cs) (alternate) — Harvard/MIT, QuEra (Gemini), Pasqal (Orion), Infleqtion, Google (2026; species not stated) · G1 G3 G7

Edges

needs: Static nearest-neighbour lattice°, Ion shuttling (QCCD, junctions, grid traps)°, Ion-chain motional bus (all-to-all in chain)°, Atom transport by AOD tweezers (zoned architecture)°
needed by: Magic-state factory (cultivation / distillation / code switching)°
alternatives: Rotated surface code (+ yoked variants)
conflicts with:
colour-code syndromes contain three-body (hyperedge) events that pairwise matching cannot decode
price weight-6 checks produce detection events that fire in triples; a plain matcher is not applicable, and the decoders that are (restriction, Möbius, Chromobius) lose accuracy — Google's d=5 colour memory reached 8.19(14)×10⁻³ per cycle with the search-based Tesseract decoder, worse than its d=5 surface code
mitigation hyperedge-capable decoders: Chromobius / restriction decoders, Tesseract (search), neural decoders; hook-free one-ancilla circuits (2026) reduce the hyperedge burden · 2026-07
° one of several that would do · the usual route, not a strict need

Used by 10 machines (3 primary · 7 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. 15 — Figure 15: Detailed quantum circuit used to teleport |1L⟩{1} from logical qubit L1 to logical qubit L2. Active data qubits (auxiliary qubits) a
A drawing, not a photograph: 30 snapshots (0–29) of the gate sequence that teleports a logical |1⟩ from colour-code logical qubit L1 to L2. Each shows two triangular patches tiled with red, green and blue faces (the code's checks) on a square grid: yellow data qubits, coloured auxiliary qubits, grey inactive ones; circled plus signs mark controlled-NOT gates, black boxes resets and measurements. It is Figure 15 of arXiv 2412.14256, 'Scaling and logic in the color code on a superconducting quantum processor' (Lacroix, Bourassa and co-authors). Notice the lattice-surgery logic: one initialization cycle, three merge cycles joining the patches through hatched tiles, one split cycle, final measurements. “Fig. 15 — Figure 15: Detailed quantum circuit used to teleport |1L⟩{1} from logical qubit L1 to logical qubit L2. Active data qubits (auxiliary qubits)…” by Nathan Lacroix et al., arxiv.org/abs/2412.14256, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 6 — Figure 6: Transformation of the superdense syndrome extraction circuit. Schematic representation of a hexagonal tile in the bulk of a color code (a)…
A schematic figure. (a) One hexagonal colour-code tile (red, bordered by green and blue faces): six data qubits (D1–D6) around two auxiliary qubits (X, Z); (b) the 'superdense' circuit, where the two auxiliaries measure both X-type and Z-type checks; (c) the tile after X swaps places with D3; (d)–(h) the circuit rewritten (swaps inserted, decomposed into CNOTs, moved, simplified by circuit identities) until most added gates disappear. It is Figure 6 of arXiv 2412.14256, 'Scaling and logic in the color code on a superconducting quantum processor', by Lacroix, Bourassa and co-authors. Colour-code error correction is thus fitted to real hardware at little extra cost. “Fig. 6 — Figure 6: Transformation of the superdense syndrome extraction circuit. Schematic representation of a hexagonal tile in the bulk of a color code (a) and its…” by Nathan Lacroix et al., arxiv.org/abs/2412.14256, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
Fig. 1 — Figure 1: Overview of the proof of Theorem 1. (a) A 3DM instance, where the problem is to decide whether there exists a disjoint subset of hyperedge…
A six-panel line drawing from a proof, not hardware. It shows a matching puzzle and small 'gadgets' drawn on colour-code (triangular) and surface-code (square) lattices, plus two code blocks drawn as 3D space-time boxes joined by a transversal CNOT. It is Figure 1 of arXiv paper 2603.22064 by Shouzhen Gu, Lily Wang and Aleksander Kubica. It shows why exact minimum-weight decoding of these codes, and of a transversal CNOT between them, is NP-hard, a cost that transversal fault-tolerant architectures must handle with approximate decoders. “Fig. 1 — Figure 1: Overview of the proof of Theorem 1. (a) A 3DM instance, where the problem is to decide whether there exists a disjoint subset of hyperedges tit…” by Shouzhen Gu, Lily Wang, Aleksander Kubica, arxiv.org/abs/2603.22064, CC BY 4.0 (creativecommons.org/licenses/by/4.0/)
code_color · layer 7 Code · centrality 12.4 · demonstrated · since 2024 · updated 2026-09-30

Colour code (transversal Cliffords)

Triangular 2D stabiliser code whose whole Clifford group acts transversally, skipping lattice surgery, at roughly 1.9× the surface code's teraquop footprint (physical qubits per logical qubit for 10¹² reliable operations).

Verdict. The colour code's future is as the magic-state factory feeding surface-code memory, not as the memory. Demote the memory case if no platform reports a colour-code logical memory beating the surface code on total qubits for a fixed logical target by 2028.

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 2D topological stabiliser code on a three-colourable trivalent lattice, each plaquette carrying an X and a Z stabiliser of weight 6. Because the two types share support, the entire Clifford group — H, S, CNOT — is transversal, where the surface code gets only CNOT natively and pays lattice surgery for the rest. Bombín and Martín-Delgado introduced it in 2006 D[663]; the first full hardware demonstration is Google's, submitted December 2024 D[41]. The price is density: ~1.9× the surface code's teraquop footprint, 1,250 against 650 physical per logical at 0.1% noise S[655]fact.
d = static triangular lattice, no transport; e = inherits the host's control modality and placement [graph].
f = Pauli stabilisers only; a = 0.5 — identical on fabricated and natural carriers, needing only a static nearest-neighbour lattice [graph].

Physics & limits

The transversal gate needs no merge/split: Google puts a logical Hadamard at ~20 ns against ~1,000× longer through lattice surgery C[664]. Weight-6 checks mean deeper extraction and hook errors that cut the effective distance unless the schedule avoids them — a 2026 construction avoids all malign bulk hook errors with one auxiliary per plaquette S[665]. Errors also fire three detectors, so the syndrome is a hypergraph: matching does not apply and decoders must project or search. Hence the gap: Λ₃/₅ = 1.56(4) D[41] against 2.14 for the surface code on the same processor family D[1], and Google's 2026 d=5 colour-code memory reached 8.19(14)×10⁻³ per cycle only with the search-based Tesseract decoder D[2]. What moves the floor is circuit scheduling and decoders, not the code.

Engineering state of the art

table
Year Figure Who Tag+Key
2024-12 Λ₃/₅ = 1.56(4); transversal Clifford adds 0.0027(3) Google Quantum AI D[41]
2025-07 first logical 5-to-1 distillation, d=3 and d=5 patches QuEra D[147]
2026-07 distance-5 colour-code memory, 8.19(14)×10⁻³ per cycle Google Quantum AI D[2]

Dominant term: the syndrome round, not the transversal gate — weight-6 extraction and hypergraph decoding leave Λ at 1.56 against 2.14 D[1], [41].

Manufacturing, materials & supply chain

No fabrication of its own: it inherits the host's chip, trap or tweezer array, tiled hexagonally rather than square, and brings no new supplier D[41]. Export exposure is the host's: ECCN 4A906 (BIS, 2024-09-06) controls a quantum computer only when its qubit count and C-NOT error fall in the same band — from 34–99 qubits at ≤ 10⁻⁴ to any error from 2,000 qubits on fact — while the code is published mathematics from 2006 D[663].

Control, readout & I/O burden

Control and readout per qubit match the host's surface-code burden. The difference is per round: each data qubit sits in six weight-6 checks against the surface code's four weight-4 checks, so a round costs about 1.5× the two-qubit gates on a deeper schedule, and that is where the threshold goes. Against it, a logical Clifford needs no merge/split rounds at all. Decoding is the harder item: hypergraph syndromes rule out a stock matching engine, and the only published d=5 hardware decode is Google's Tesseract search decoder D[2].

Role in the stack

Sits, as an alternate code, in four architectures — the transmon lattice with tunable couplers, trapped-ion QCCD, the linear Paul trap with individual laser addressing and the alkali Rydberg tweezer array [graph]; requires the same static nearest-neighbour lattice as the surface code and hosts magic-state factories. All three 2025–26 magic-state milestones ran in colour codes: cultivation to 0.9999(1) at 8% acceptance before code-switching out D[42], Quantinuum's [[15,1,3]]→[[7,1,3]] switching at ≤5.1(2.7)×10⁻⁴ D[666], QuEra's 5-to-1 distillation D[147]. It replaces the surface code where transversal Cliffords beat the ~1.9× footprint; switching costs a decoder and a layout, not hardware. Clock contribution ~20 ns per logical Hadamard C[664]; the code does set d₂, the gate-layer count summed into the round (derived clock = sum of the syndrome round: gate layers + transport + readout + reset for the architecture), 0.65 µs derived against the measured 1.1 µs host cycle. Neighbouring empty slot: no hardware colour-code decoder.

Evidence — how the numbers were measured

Λ₃/₅ = 1.56(4) and the 0.0027(3) transversal-Clifford error are Google's own, one processor, unreplicated by a second vendor D[41]. Two framings of that paper conflict: it reports 86.5(1)–90.7(1)% teleported-state fidelities for lattice surgery, while Google's blog presents 86–91% as "two-qubit gate fidelity" C[664] — trust the paper. Magic injection exceeds 99% only with post-selection keeping ~75% of runs D[41]. The footprint claims are not comparable either: "fewer physical qubits per code distance" C[664] against total qubits for a fixed logical target S[655]. Nothing published separates code error from decoder error in the transversal figure.

Not published: a quantified Monte Carlo improvement for the hook-error-free colour-code circuit [665].

Actors & economics

Who.
| Organisation | Role | Country | What they do | Evidence |
|---|---|---|---|---|
| Google Quantum AI | Developer/user | US | Only superconducting colour-code memory; cultivation host | D[41], [42] |
| Quantinuum | Developer/user | US | Colour-code code switching; tesseract [[16,6,4]] on Helios | D[666], [667] |
| Microsoft Quantum | Developer | US | Co-authored the tesseract colour-code result | D[667] |
| QuEra | Developer/user | US | First logical 5-to-1 distillation on colour-code patches | D[147] |

Money. 2025-07-14 · QuEra · publication (first logical 5-to-1 distillation) · no figure · funded from its $230 M+ 2025 round C[153] · published D[147]. 2025-11-06 · DARPA QBI Stage B · up to $15 M per team · eleven teams, Quantinuum and QuEra among them G[65]. 2026-06-03 · Quantinuum · IPO · $1.68 B gross at $60/share, Nasdaq QNT; Q2-2026 revenue $8.0 M, cash $2.1 B · closed G[123]. No round, grant or acquisition is specific to the colour code: it is a line item inside platform programmes.

Market & supply chain. No dedicated supply chain; it rides the host's fab and the general classical stack. The market it moves is decoding: hypergraph syndromes need search or projection decoders (FPGA/GPU work from AMD and NVIDIA), and no vendor ships a colour-code hardware decoder as of 4 Sep 2026. Pays into G3 and G4 through magic-state factories: every logical magic-state milestone since 2025 ran in a colour code D[42], [147], [666].

IP & standards. The code is published mathematics from 2006 D[663]. PatSnap's April 2026 landscape counts 12 QEC patents — Google 6, IBM 4, Tencent 2 — with no colour-code cluster P[668]. Google's granted surface-code patent covers gauge operators, not this code fact. No standards body; the de facto interface is a Stim detector-error model.

Roadmaps & track record. Google (2025-06-23 · colour code a "workhorse configuration", no dated milestone · a d=5 memory followed in July 2026) C[664]D[2]. Quantinuum (2024-09 · Helios 2025 → Sol 2027 → Apollo 2029 · Helios shipped 2025-11-05 and carried the tesseract result) Rfact. QuEra (2026-06 · Libra, >256 logical, 2028 · its January-2024 roadmap promised 100 logical in 2026, undelivered) Rfact. Google's claims have been measurements, not promises; Quantinuum's schedule has held; QuEra's research runs ahead of its product roadmap.

Strategic reading. The colour code favours platforms where qubits are cheap and logical time expensive — superconducting and neutral atoms — over trapped ions, where a 1.9× premium falls on the scarce resource. Its likeliest 2029 position is not memory but the T-state factory feeding surface-code memory: cultivation cut magic-state cost ~40× inside a colour code and then switched out D[42], making it a component of a surface-code machine rather than a competitor. Substitution threats: high-rate qLDPC blocks with transversal gates, and algorithmic fault tolerance replacing O(d) rounds per logical gate. Losers: toolchains built only around lattice surgery.

Outlook & open questions

Confirm/demote in 12–24 months: a colour-code memory beyond d=5 with Λ approaching 2.14; a second vendor reproducing transversal Cliffords. Best case 2029: cultivation makes it the standard magic-state substrate, the footprint premium confined to factory patches. Worst case: hook-error and decoder overheads keep Λ near 1.5 and it survives only as a distillation substrate. Open questions: does the one-auxiliary-per-plaquette circuit S[665] recover a competitive threshold on hardware; do planar non-Clifford circuits S[669] beat distillation; will anyone publish a total-footprint comparison.

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. [2] V. Sivak et al., “Reinforcement learning control of quantum error correction,” Nature, vol. 655, no. 8124, pp. 879–884, Jul. 2026, doi: 10.1038/s41586-026-10759-2. D
  3. [41] N. Lacroix et al., “Scaling and logic in the color code on a superconducting quantum processor,” Nature, vol. 645, no. 8081, pp. 614–619, May 2025, doi: 10.1038/s41586-025-09061-4. arXiv:2412.14256. D
  4. [42] E. Rosenfeld et al., “Magic state cultivation on a superconducting quantum processor,” arXiv:2512.13908, Dec. 2025. D
  5. [65] DARPA, “Stage B selection,” Nov. 6, 2025. [Online]. Available: https://www.darpa.mil/research/programs/quantum-benchmarking-initiative/stage-b-selection G
  6. [123] Quantinuum, “Quantinuum Announces Pricing of Upsized Initial Public Offering,” Jun. 3, 2026. [Online]. Available: https://www.quantinuum.com/press-releases/quantinuum-announces-pricing-of-upsized-initial-public-offering G
  7. [147] P. S. Rodriguez et al., “Experimental demonstration of logical magic state distillation,” Nature, vol. 645, no. 8081, pp. 620–625, Jul. 2025, doi: 10.1038/s41586-025-09367-3. D
  8. [153] QuEra Computing, “QuEra Expands $230 Million Financing Round Advancing Quantum-Accelerated Supercomputing,” Sep. 9, 2025. [Online]. Available: https://www.quera.com/press-releases/quera-expands-230-million-financing-round-advancing-quantum-accelerated-supercomputing C
  9. [655] C. Gidney and C. Jones, “New circuits and an open source decoder for the color code,” arXiv:2312.08813, Dec. 2023. S
  10. [663] H. Bombín and M. A. Martin-Delgado, “Topological Quantum Distillation,” Phys. Rev. Lett., vol. 97, Art. no. 180501, 2006, doi: 10.1103/PhysRevLett.97.180501. arXiv:quant-ph/0605138. D
  11. [664] A. Bourassa and K. Satzinger, “A colorful quantum future,” Google Research Blog, Jun. 23, 2025. [Online]. Available: https://research.google/blog/a-colorful-quantum-future/ C
  12. [665] G. Kishony and A. Fowler, “Color code off-the-hook: avoiding hook errors with a single auxiliary per plaquette,” arXiv:2603.28852, Mar. 2026. S
  13. [666] L. Daguerre, R. Blume-Kohout, N. C. Brown, D. Hayes, and I. H. Kim, “Experimental Demonstration of High-Fidelity Logical Magic States from Code Switching,” Phys. Rev. X, vol. 15, no. 4, Art. no. 041008, Oct. 2025, doi: 10.1103/dck4-x9c2. arXiv:2506.14169. D
  14. [667] A. Paetznick et al., “Improved quantum processor logical error rates via correction and detection,” Nature, vol. 654, no. 8118, pp. 349–355, Jun. 2026, doi: 10.1038/s41586-026-10628-y. D
  15. [668] PatSnap, “Quantum Error Correction Technology Landscape 2026,” Apr. 22, 2026. [Online]. Available: https://www.patsnap.com/resources/blog/articles/quantum-error-correction-patent-landscape-2026/ P
  16. [669] A. Bauer and J. C. M. de la Fuente, “Planar Fault-Tolerant Circuits for Non-Clifford Gates on the 2D Color Code,” PRX Quantum, vol. 7, no. 2, Art. no. 020367, Jun. 2026, doi: 10.1103/p7c9-x1m9. arXiv:2505.05175. S