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Run your analysis now →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.
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.
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.
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.
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.
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%.
This page is one run against one query. Ask Eureka your own question about quantum control & error correction patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe 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.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5896403A | Dot code and information recording/reproducing system for recording/reproducing the same | 407 |
| 2 | US5790543A | Apparatus and method for correcting jitter in data packets | 368 |
| 3 | US9858531B1 | Fault tolerant scalable modular quantum computer architecture with an enhanced control of multi-mode coupling… | 348 |
| 4 | US5430485A | Audio/video synchronization in a digital transmission system | 338 |
| 5 | US6074775A | Battery having a built-in controller | 307 |
| 6 | US6094421A | Timing adjustment control for efficient time division duplex, frequency division duplex or hybrid time divisi… | 307 |
| 7 | US7876248B2 | Systems, methods and apparatus for local programming of quantum processor elements | 290 |
| 8 | US8195596B2 | Systems, devices, and methods for interconnected processor topology | 284 |
| 9 | US8190548B2 | Systems, devices, and methods for analog processing | 269 |
| 10 | US6388997B1 | Timing adjustment control for efficient time division duplex communication | 251 |
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.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Four read-outs from the concentration, trend and citation data — useful for deciding where competitive pressure is real and where it is only apparent.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| Assignee | Recent year | YoY |
|---|---|---|
| Google LLC | 5 | -87% |
| International Business Machines Corporation (IBM) | 2 | -91% |
| RIGETTI & CO INC | 2 | 0% |
| Panasonic Holdings Corporation | 0 | — |
| Microsoft Technology Licensing, LLC | 0 | -100% |
| Zapata Computing, Inc. | 0 | — |
| Sony Group Corporation | 0 | — |
| D-Wave Systems Inc. | 0 | — |
The dataset points to three practical follow-ups for a team deciding where to file or where to watch.
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 EurekaThe 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 EurekaRaw 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 EurekaThe ranked field covers 100 assignees, with one clear leader holding 864 records against 222 at fifth place — a visible gap that points to a sustained, well-resourced filing programme. Google, IBM, Panasonic, Microsoft and Sony are among the entities represented in the top group, alongside hardware-focused players such as D-Wave Systems, Rigetti and PsiQuantum. Below the top ten the ranking thins quickly, so most named assignees hold only a handful of records each, and the field is far from a two-player race.
Yes, based on the last complete year of data: filings rose from 697 in 2021 to 871 in 2024, a 25% increase, with 2024 the peak year in the series so far. Counts for 2025 and 2026 appear lower, but that is expected because publication typically lags filing by around 18 months, so those years are still filling in. Read the 2021-2024 trend, not the most recent two years, as the fair measure of momentum.
The IPC composition shows heavy overlap with AI-based computing (G06N, 63.2% of the 8,042 records) and general digital data processing (G06F, 15.9%), alongside digital transmission, video/audio communication, magnetic/optical storage, nanotechnology and coding classes. This spread reflects that quantum control claims are frequently framed as computing-architecture or signal-processing inventions rather than purely physical-hardware claims. Because records can carry multiple IPC classes, these percentages overlap rather than summing to a whole.
The top five assignees hold 2,207 records, 27.4% of the 8,042 records in scope, and the top ten extend that to 3,033 records, or 37.7%. That leaves roughly two-thirds of all records spread across the remaining ranked assignees and a long tail beyond the ranking. It is a concentrated but not dominated field — worth checking the leader's specific claim scope before assuming broad blocking coverage.
Composition and citation data point to thinner coverage in areas like cross-talk-aware multi-qubit gate calibration, real-time syndrome decoding hardware, and cryogenic control-electronics integration, relative to the dense claim space around basic control-pulse generation and error-correction codes. These are leads worth a dedicated freedom-to-operate search, not confirmed open ground. Given the field's 25% growth from 2021 to 2024, any white space identified today is likely to see competitive filings within a few years.
Go past this page: query the whole quantum control & error correction 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.