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Run your analysis now →A patent landscape review of surface code quantum error decoder technology: filing trends from 2017 to 2026, leading assignees, IPC composition and where claim space remains open.
Filing growth = 2021 (45 records) → 2024 (88); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 375 records in scope (CR5), not the ranked leaders only.
Surface code decoding sits at the intersection of quantum error correction theory and the classical control hardware that has to run it fast enough to keep pace with a quantum processor. This landscape draws on 375 published patent records filed between 2015 and 2026 that combine surface code, syndrome or stabilizer terminology with decoder and error-correction claims under the G06N10 quantum-computing IPC subclass. Publication lags filing by roughly eighteen months, so the most recent one to two years of activity are undercounted here rather than genuinely slower.
The filings split between a small number of assignees holding large blocks of records and a long tail of single- or few-filing entrants, a pattern typical of a technology that is still being defined at the architecture level rather than commoditised. Receiving-office data shows where applicants are choosing to seek protection first, which is a useful proxy for where they expect either competitors or a commercial market to materialise.
Pick a task. Every answer cites the patents behind it.
Two views of the same 375-record dataset: how filing activity has moved year over year, and which IPC subclasses the claims actually sit in alongside the core quantum-computing classification.
Annual filings rose from 33 in 2017 to a peak of 88 in 2024, including a 96% jump from 45 filings in 2021 to 88 in 2024. The count of 7 shown for 2026 reflects only what has published so far this year, not a slowdown in filing.
Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.
Every record in scope carries the core G06N quantum-computing classification by search design. Beyond that, 15.5% of the 375 records also touch H03M coding and code-conversion techniques and 15.2% touch G06F digital data processing, both consistent with decoders being claimed as much as classical computation pipelines as quantum-specific inventions. Nanotechnology (B82Y), pulse and logic circuitry (H03K) and solid-state device classes (H10N) each cover a smaller slice, and transmission-related classes (H04B, H04L) sit under 3% each — a sign that claims tying decoders directly to communication or networking layers remain rare.
Shares are the percentage of the 375 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about surface code quantum error decoder patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe filing claims a decoder apparatus that takes syndrome measurement data from an array of data and syndrome qubits, resolves the physical co-ordinate positions of each qubit from separately supplied lattice and index data, and decodes the syndromes of the quantum error correction code using those positions.Published 2024-05-16 as US20240160988A1.


When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
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Browse MCP servers →Three figures worth sitting with before deciding where to file or partner.
Five assignees hold 201 of the 375 records in scope, with the single leader responsible for 105. A newcomer's freedom-to-operate analysis should start with that leader's claim scope, not with a broad market scan.
Filings rose from 45 in 2021 to 88 in 2024, the highest year on record. Because publication lags filing by about eighteen months, 2025 and 2026 figures will keep rising as more applications publish — they should not be read as a plateau.
Alongside the core G06N quantum-computing class, meaningful shares of records also sit in H03M coding and G06F data-processing classes, showing decoder inventions are frequently framed as classical algorithmic or hardware claims layered onto a quantum syndrome input.
United States filings lead at 123 records, with WIPO PCT applications close behind at 74 and EPO filings at 62 — a filing pattern consistent with applicants securing broad early-stage coverage before committing to narrower national phases.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to surface code quantum error decoder patent landscape, with the prior art for and against each one.
The dataset points to specific follow-up questions depending on whether the goal is freedom-to-operate, partnership scouting or R&D prioritisation.
With one assignee holding 105 of 375 records, understanding exactly what that portfolio blocks — and where its claims stop short — is the first task before committing engineering resources to a similar decoder architecture.
Explore the leader's portfolioTransmission and digital-communication classes each cover a small share of records, suggesting decoder-to-control-electronics integration claims are comparatively open. That gap is worth validating against non-patent literature before treating it as white space.
Investigate adjacent claim spaceBecause publication lags filing by roughly eighteen months, the true 2025 and 2026 filing counts will only become clear over the next year or two. Re-running this view periodically will sharpen the growth picture.
Set a review cadenceThe ranking covers 98 companies across 375 published records, and it is heavily concentrated: the single leading assignee accounts for 105 records, and the top five combined hold 201, or 53.6% of all records in scope. That leaves a long tail of assignees with only a handful of filings each. Anyone assessing competitive position in this space should treat the leader's portfolio as the reference point rather than assuming the field is evenly split among many players.
Filings grew substantially over the period covered, rising 96% from 45 in 2021 to a peak of 88 in 2024. The lower counts shown for 2025 and 2026 are not evidence of a slowdown; patent publication typically lags the actual filing date by about eighteen months, so recent years are still filling in as more applications publish. Based on the complete years available, activity was still climbing through 2024, the most recent year that can be read as a full data point.
Every record in this dataset carries the core G06N quantum-computing classification by design, but many also cross into classical computing categories. Roughly 15.5% of the 375 records also sit in H03M, which covers coding and code-conversion techniques, and 15.2% sit in G06F, general electronic data processing. Smaller shares touch nanotechnology, pulse and logic circuitry, and solid-state devices, showing that decoder inventions are frequently claimed as much on classical computation grounds as on quantum-specific hardware.
Receiving-office data shows the United States as the largest single destination with 123 filings, followed by the WIPO PCT route at 74 and the European Patent Office at 62, with Australia, Canada and China each seeing smaller but non-trivial volumes. This pattern suggests most applicants are securing broad initial coverage through the US or a PCT filing before deciding on national-phase entry elsewhere. The right choice for any individual applicant still depends on where competitors and expected commercial deployment sit, which this data does not determine on its own.
US20240160988A1, filed by Riverlane Ltd and published 2024-05-16, claims a decoder apparatus that resolves the physical co-ordinate positions of qubits in an array from separately supplied lattice and index data, then uses those positions to decode syndrome measurement data from the quantum computer. The claim is specific to that coordinate-resolution step feeding into decoding, so it does not automatically block decoders that use a different method of localising qubits or that skip explicit coordinate reconstruction. Anyone designing a competing decoder should compare their qubit-localisation approach against this specific claim structure rather than assume the whole decoding function is covered.
Go past this page: query the whole surface code quantum error decoder patent landscape corpus yourself, in your own scope.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.
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