https://www.patsnap.com/resources/blog/rd-blog/quantum-control-and-error-correction-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Quantum Control & Error Correction · Patent Landscape 2026
Quantum control and error correction patents: who holds the ground and where it is still open
  • 27.4% concentration at the top. The five leading assignees account for 2,207 of the 8,042 records in scope — a concentrated head with a long tail below tenth place.
  • Filing grew 25% from 2021 to 2024. The last complete year (2024) recorded 871 filings, the peak of the series so far, before publication lag thins the 2025-2026 counts.
  • Momentum is cooling among the biggest names. Several of the leading assignees show sharp year-on-year drops in the latest year — a signal to watch, not yet a verdict on the field.
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8,042
Published Records
27%
Top-5 Share of All Records
+25%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (697 records) with 2024 (871) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 8,042 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this dataset covers

This landscape tracks 8,042 published records filed against quantum control and error correction terms — qubit arrays, quantum gates, control pulses, quantum readout, state preparation and quantum coherence — filed or published between 2015 and the 2026 cut-off. The scope spans both dedicated quantum-hardware claims and the broader digital-processing and communications infrastructure that quantum control systems depend on, which is why the technology composition below shows heavy overlap with conventional computing and signal-processing classes.

Publication lags filing by roughly 18 months, so counts for 2025 and 2026 are still filling in and should be read as provisional rather than as a slowdown.

Filing activity and technology composition, 2015-2026
  1. 1GOOGLE LLC864
  2. 2INTERNATIONAL BUSINESS MACHINE CORPORATION452
  3. 3PANASONIC HOLDINGS CORP421
  4. 4MICROSOFT TECHNOLOGY LICENSING LLC248
  5. 5ZAPATA COMPUTING INC222
  6. 6SONY GROUP CORP219
  7. 7D WAVE SYSTEMS INC170
  8. 8RIGETTI & CO INC154
  9. 9YALE UNIVERSITY153
  10. 10PSIQUANTUM CORP130
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Quantum Control & Error Correction 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
The Data

Filing trend and technology composition

Two views of the same 8,042-record dataset: how filing volume has moved year over year, and which IPC subclasses the claims sit in.

Filing trend, 2017-2026

Annual filings rose from 252 in 2017 to a peak of 871 in 2024, a 25% increase across the 2021-2024 span. 2025 and 2026 figures (down to 98 for the partial latest year) are undercounted due to publication lag and should not be read as a decline.

Filing trend, 2017-202602505007501,000252201720182019202020212022202387120242025982026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

G06N (AI-based computing) covers 63.2% of the 8,042 records, by far the largest single class, followed by G06F (electric digital data processing) at 15.9% and H04L (digital information transmission) at 11.5%. Because records carry multiple classes, these shares sum to well over 100% and should be read as overlapping footprints, not a partition of the field.

Technology composition by IPC subclassG06N · Computing based on AI models5,07963.2%G06F · Electric digital data processi…1,27815.9%H04L · Digital information transmissi…92411.5%H04N · Pictorial communication (video…81610.1%G11B · Information storage (magnetic/…7649.5%B82Y · Nanotechnology applications7459.3%H04B · Transmission (general)6838.5%H03M · Coding & code conversion6287.8%Other4,97961.9%

Shares are the percentage of the 8,042 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 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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Key Patents

Representative and most-cited records

Representative filing
US20220027774A12022-01-27

Quantum control pulse generation method, device, and storage medium (US20220027774A1)

BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

The filing constructs a system Hamiltonian from a target quantum hardware structure's physical parameters, simulates system state information from that Hamiltonian, and optimises an initial control pulse set against the relationship between simulated and desired states — a closed-loop pulse-optimisation approach to quantum control rather than a fixed-pulse-table method.Filed by Beijing Baidu Netcom Science Technology Co., Ltd., published 2022-01-27.

US20220027774A1 — patent drawing 1US20220027774A1 — patent drawing 2
View full record
Most-cited records in the dataset
#Publication no.Patent titleCitations
1US5896403ADot code and information recording/reproducing system for recording/reproducing the same407
2US5790543AApparatus and method for correcting jitter in data packets368
3US9858531B1Fault tolerant scalable modular quantum computer architecture with an enhanced control of multi-mode coupling…348
4US5430485AAudio/video synchronization in a digital transmission system338
5US6074775ABattery having a built-in controller307
6US6094421ATiming adjustment control for efficient time division duplex, frequency division duplex or hybrid time divisi…307
7US7876248B2Systems, methods and apparatus for local programming of quantum processor elements290
8US8195596B2Systems, devices, and methods for interconnected processor topology284
9US8190548B2Systems, devices, and methods for analog processing269
10US6388997B1Timing adjustment control for efficient time division duplex communication251

Citation counts favour older records simply because they have had longer to accumulate citations inside the searched corpus — treat this as a signal of influence within the dataset, not of current technical importance.

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 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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Insights

What the numbers mean for filing strategy

Four read-outs from the concentration, trend and citation data — useful for deciding where competitive pressure is real and where it is only apparent.

Concentration
27.4%
of 8,042 records held by the top 5

The head of the field is narrow, the tail is long

Five assignees hold 27.4% of all records in scope, and the top ten extend that to 37.7%. Below tenth place (130 records) the ranking thins quickly into single- and low-digit filers, which means most of the 8,042 records sit outside any concentrated cluster.

Ranked field, 100 assignees
Growth
+25%
filing growth, 2021 to 2024

Volume climbed through the last complete year

Filings rose from 697 in 2021 to 871 in 2024, the highest year in the series. Because publication lag understates 2025 and 2026, this growth figure — not the tapering years after it — is the fair read of current momentum.

2021-2024 span
Composition
63.2%
of records classed under G06N

Claims cluster around AI-based computing infrastructure

G06N carries 63.2% of the 8,042 records, well ahead of G06F (15.9%) and H04L (11.5%). The overlap between quantum control claims and AI-model computing classes suggests many filings frame quantum control as a computing-architecture problem rather than a purely physical-hardware one.

Multi-class records; shares overlap
Momentum
-87% to -91%
YoY change among leading assignees

The biggest names show sharp recent pullback

Several of the leading assignees recorded steep year-on-year drops in the latest year, alongside near-flat or zero counts for others. Given publication lag, this looks more like reporting delay than a genuine retreat from the technology — but it is worth tracking into the next data refresh.

Latest-year figures, provisional
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quantum control & error correction patent landscape, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Quantum Control & Error Correction 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
Players

Who is filing, and where the gate sits

The ranked field covers 100 assignees counted by record volume. Beyond the concentrated top group, activity spreads across a long list of single- and low-count filers.

Leader
864
records, the highest in the ranking

One assignee sits well clear of the field

The leading assignee's 864 records outpace the fifth-place holder's 222, a gap that signals a sustained, multi-year filing programme rather than a single burst of activity.

Ranked #1 of 100
Mid-field
130
records at tenth place

The drop-off past the top ten is steep

Tenth place holds 130 records versus 222 at fifth — filings roughly halve moving from the middle of the top ten to its edge, and continue thinning below that into the long tail.

Ranked #10 of 100
Collaboration
10
co-assignee pairs identified

Co-filing is limited and concentrated around one pairing

Only ten co-assignee pairs appear in the dataset, and the strongest of them links an entity to its own regional subsidiary rather than to an independent partner — cross-organisation co-filing in this field is still rare.

Strongest pair: 43 shared records
🔍
Under-claimed ground worth checking before filing
Sub-areas where the composition data and citation table show thinner coverage relative to the core control-pulse and error-correction claims.
Cross-talk-aware multi-qubit gate calibrationReal-time syndrome decoding hardwareCryogenic control-electronics integrationPulse-level error mitigation without full QEC codesReadout-multiplexing for dense qubit arrays
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Google LLC5-87%
International Business Machines Corporation (IBM)2-91%
RIGETTI & CO INC20%
Panasonic Holdings Corporation0
Microsoft Technology Licensing, LLC0-100%
Zapata Computing, Inc.0
Sony Group Corporation0
D-Wave Systems Inc.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Quantum Control & Error Correction 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
What's Next

Where to take this next

The dataset points to three practical follow-ups for a team deciding where to file or where to watch.

Check the white-space chips against your own claim set

The under-claimed sub-areas above are read from thin coverage in the composition and citation data, not from a freedom-to-operate search — treat them as leads to investigate, not clearance.

Explore in Patsnap Eureka

Watch the leading assignees' next filing cycle

The sharp year-on-year drops among top filers may reflect publication lag rather than a real pullback; the next data refresh will clarify which it is.

Track assignee activity in Patsnap Eureka

Re-run the family view before committing R&D budget

Raw record counts include continuations and multi-jurisdiction duplicates; a family-level cut of the same 8,042 records gives a fairer read of how much distinct invention sits behind the concentration figures.

Run a family analysis in Patsnap Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Quantum Control & Error Correction 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 this field

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

Research Quantum Control & Error Correction Patent Landscape in depth with Eureka

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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.