https://eureka.patsnap.com/resources/blog/rd-blog/surface-code-quantum-error-decoder-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Quantum Technologies

Surface Code Quantum Error Decoder Patents: Filing Trends and Leading Claimants

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.

375
Published Records
54%
Top-5 Share of All Records
+96%
Filing Growth 2021→2024
US
Leading Jurisdiction

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.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

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.

Filing activity and technology composition, 2015-2026
  1. 1GOOGLE LLC105
  2. 2MICROSOFT TECHNOLOGY LICENSING LLC40
  3. 3RIVERLANE LTD23
  4. 4AMAZON TECH INC17
  5. 51QB INFORMATION TECHNOLOGIES INC16
  6. 6QUERA COMPUTING INC16
  7. 7RIGETTI & CO INC15
  8. 8PRESIDENT & FELLOWS OF HARVARD COLLEGE15
  9. 9INTERNATIONAL BUSINESS MACHINE CORPORATION13
  10. 10UNIVERSITY OF CHICAGO12
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The data

Filing trend and technology composition

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.

A decade of acceleration, tempered by publication lag

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.

A decade of acceleration, tempered by publication lag0255075100332017201820192020202120222023882024202572026Most recent year is partial — publication lag means later filings are not yet visible.

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.

Where decoder claims cross into other classes

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.

Where decoder claims cross into other classesG06N · Computing based on AI models375100.0%H03M · Coding & code conversion5815.5%G06F · Electric digital data processi…5715.2%B82Y · Nanotechnology applications205.3%H03K · Pulse technique & logic circui…184.8%H10N · Other electric solid-state dev…154.0%H04B · Transmission (general)82.1%H04L · Digital information transmissi…71.9%Other256.7%

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%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Representative filing

A representative decoder patent

Filed by Riverlane Ltd
US20240160988A12024-05-16

Quantum error correction code decoder and associated methods

RIVERLANE LTD

The 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.

US20240160988A1 — patent drawing 1US20240160988A1 — patent drawing 2
View full filing
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the numbers mean for a filing decision

Three figures worth sitting with before deciding where to file or partner.

Concentration
53.6%
of 375 records held by top 5 assignees

The field is led, not fragmented

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.

Top 5 combined: 201/375 records
Growth
+96%
filing growth 2021 to 2024

Activity is still climbing, not levelling off

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.

Peak year: 2024 at 88 filings
Technology spread
15.5%
of records also classed under H03M coding

Decoders are claimed as computation, not just quantum hardware

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.

H03M: 58 records · G06F: 57 records
Jurisdiction
123
US filings, the largest single office

The US and PCT route dominate early protection

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.

US 123 · PCT 74 · EPO 62
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Looking for what nobody has claimed yet?

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.

Find the white space →
Source: Patsnap Eureka. Derived observations on the same dataset. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next steps

Where to take this analysis

The dataset points to specific follow-up questions depending on whether the goal is freedom-to-operate, partnership scouting or R&D prioritisation.

Map the leader's claim boundaries

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 portfolio

Track the under-claimed branches

Transmission 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 space

Revisit the trend once 2025-2026 fully publish

Because 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 cadence
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about surface code decoder patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Surface Code Quantum Error Decoder Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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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