https://www.patsnap.com/resources/blog/rd-blog/quantum-control-and-error-correction-dynamical-decoupling-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Quantum Technologies · Patent Landscape
Dynamical Decoupling Patents in Quantum Control and Error Correction

A data-backed view of dynamical decoupling patents in quantum error correction: who holds the filings, where classes concentrate, and where white space remains through 2026.

78
Published Records
73%
Top-5 Share of All Records
-5%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth = 2021 (19 records) → 2024 (18); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 78 records in scope (CR5), not the ranked leaders only.

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

What the dynamical decoupling filing record shows

Dynamical decoupling sits at the intersection of pulse-sequence engineering and quantum error correction: patterns of control pulses applied to a qubit to average out unwanted noise coupling without adding the overhead of full error-correcting codes. The 78 records in scope, spanning 2015 through the 2026 cut-off, cluster heavily around software and algorithmic framing of the technique rather than pure hardware pulse generation. That skew toward computing-based classification is itself a signal: the commercially contested ground is less about generating a clean pulse and more about deciding which sequence to apply, when, and how to verify it worked.

Publication lags filing by roughly 18 months, so the most recent one to two years in any trend understate real filing activity. Read the 2021 peak and the 2024 comparison as the most reliable recent signal, and treat 2025-2026 counts as still filling in rather than as evidence of a slowdown.

Filing activity and technology mix, 2015-2026
  1. 1GOOGLE LLC23
  2. 2INTERNATIONAL BUSINESS MACHINE CORPORATION17
  3. 3THE UNIV OF SYDNEY6
  4. 4ALIRO TECHNOLOGIES INC6
  5. 5FUJITSU LTD5
  6. 6AMAZON TECH INC5
  7. 7TRUSTEES OF DARTMOUTH COLLEGE THE5
  8. 8IBM DEUTSCHLAND GMBH3
  9. 9IQM FINLAND OY2
  10. 10VELLORE INSITUTE OF TECH2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Quantum Control & Error Correction: Dynamical Decoupling 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 Numbers

Filing trend and technology composition

Two views of the same 78-record dataset: how filings moved year over year, and which IPC subclasses carry the claims.

A 2021 peak, then a plateau

Filings rose from zero in 2017 to a peak of 19 in 2021, then held near that level — 18 by 2024, a -5% change over the three-year span rather than a decline. 2025 and 2026 figures will rise as publication catches up with filing.

A 2021 peak, then a plateau0510152002017201820192020192021202220232024202552026Most 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.

G06N dominates; every other class is a minority signal

G06N (computing based on AI models) appears in 92.3% of the 78 records, far ahead of H03M coding (11.5%), H04B transmission (9.0%) and G06F data processing (7.7%). Because records can carry multiple classes, these shares sum past 100% — the takeaway is that decoupling claims are overwhelmingly framed as computational methods, not as standalone pulse-generation hardware.

G06N dominates; every other class is a minority signalG06N · Computing based on AI models7292.3%H03M · Coding & code conversion911.5%H04B · Transmission (general)79.0%G06F · Electric digital data processi…67.7%H03K · Pulse technique & logic circui…22.6%B82Y · Nanotechnology applications11.3%G01V · Geophysics & gravity surveying11.3%G02F · Optical control & modulation11.3%Other67.7%

Shares are the percentage of the 78 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 Quantum Control & Error Correction: Dynamical Decoupling 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 recent claim shows where the frontier is moving

Filed 2025
US20250209365A12025-06-26

Identifying a dynamical decoupling sequence for error suppression using a genetic algorithm

INTERNATIONAL BUSINESS MACHINES CORPORATION

The method trains a genetic algorithm on an equivalent circuit structure to the target quantum circuit, generating and evolving populations of candidate dynamical decoupling sequences through reproduction and mutation to empirically identify sequences that suppress error on real hardware rather than relying on analytically derived pulse patterns.Filed by IBM, this record frames sequence selection as a search problem rather than a physics-first derivation — a distinct approach from the analytically-derived sequences in the earlier most-cited records.

US20250209365A1 — patent drawing 1US20250209365A1 — patent drawing 2
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Most-cited dynamical decoupling records
#Publication no.Patent titleCitations
1US20150324705A1Long-time low-latency quantum memory by dynamical decoupling29
2US20090241013A1Efficient decoupling schemes for quantum systems using soft pulses27
3CN109407690A一种飞行器稳定控制方法25
4US20210258079A1Target qubit decoupling in an echoed cross-resonance gate21
5US11748652B1Heralding of amplitude damping decay noise for quantum error correction9
6WO2009117003A1Efficient decoupling schemes for quantum systems using soft pulses8
7US20230359923A1Characterization of time-correlated quantum errors through entanglement6
8US9946973B2Long-time low-latency quantum memory by dynamical decoupling6
9US8219871B2Efficient decoupling schemes for quantum systems using soft pulses6
10WO2021165108A1Target qubit decoupling in an echoed cross-resonance gate5

Ranked by citation count within the corpus; older records accumulate more citations by nature of tenure, so treat this as a signal of influence rather than of current commercial weight.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Quantum Control & Error Correction: Dynamical Decoupling 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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Reading the Data

What the concentration and class mix mean for filing strategy

Three figures from this dataset carry direct implications for where a new filing would land and who would contest it.

Concentration
73.1%
of 78 records held by top 5

The field is concentrated, not fragmented

Five assignees hold 73.1% of the 78 records in scope, and the leader alone holds 23. A new entrant is not filing into open ground at the algorithmic level — it is filing adjacent to a small number of well-resourced holders.

Top 10 combined reach 94.9% of records, leaving a thin tail beyond that.
Technology mix
92.3%
of records in G06N

Claims cluster on computation, not pulse hardware

With 92.3% of records in G06N against single-digit shares for coding, transmission and pulse-technique classes, most contested claim space concerns sequence selection, optimisation and verification methods rather than the underlying pulse electronics.

B82Y, G01V and G02F each carry only one record — thin but not zero.
Filing momentum
19 → 18
peak 2021 vs. 2024

A plateau, not a retreat

Filings peaked at 19 in 2021 and stood at 18 in 2024, a -5% change across that span. That reads as a mature but still-active field holding its filing rate, not one that is cooling off.

2025-2026 counts will revise upward as publication catches up with filing dates.
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Co-filing is rare
AssigneeCo-assigneeShared families
The University of SydneyDartmouth College4
International Business Machines Corporation (IBM)IBM DEUTSCHLAND GMBH3

Only two co-assignee pairs appear in the dataset, the strongest linking a university and a research institute on four shared records — collaboration is the exception here, not the norm.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Quantum Control & Error Correction: Dynamical Decoupling 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 filing record answers who holds ground and where classes concentrate. Turning that into a filing or freedom-to-operate decision takes a closer read of specific claims.

Map claims against a target sequence

Run the specific pulse sequence or verification method you plan to file against the claim language in the top-cited records to see how close the overlap actually sits.

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Track the leader's recent filings

The top assignee's share of 23 records is worth watching directly, since a single well-resourced filer shifting strategy changes the shape of this field faster than the aggregate trend shows.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Quantum Control & Error Correction: Dynamical Decoupling 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
Frequently Asked

Questions practitioners ask about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Quantum Control & Error Correction: Dynamical Decoupling 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.