Quantum Sensor Signal Conditioning Patents: Leaders & Filing Trends 2026
A data-backed look at quantum sensor signal conditioning patents: who leads filings, how the technology mix breaks down by IPC class, and where filing activity is growing fastest through 2026.
Filing growth = 2021 (1 records) → 2024 (7); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 82 records in scope (CR5), not the ranked leaders only.
What this landscape covers
Quantum sensor signal conditioning sits at the junction of quantum sensing hardware and the analog and readout electronics that turn a raw quantum signal into a usable measurement. This landscape tracks 82 patent records filed or published between 2015 and the 2026-08-31 data cut-off, spanning charge and particle sensing, magnetometry, infrared and X-ray detection, and the amplifier and filter circuitry that conditions those signals before digitisation. The scope is defined by IPC classes G01 (measurement), G01D (measuring instruments) and H03F (amplifiers), narrowed to records whose text ties a quantum or quantum-adjacent sensor to signal conditioning, analog front-end, readout circuit or filtering/compensation language.
Because publication lags filing by roughly 18 months, the most recent one to two years in any trend line will understate real activity; 2024 is the most recent year that can be read as a complete filing year.
Filing trends and technology composition
Two views of the same 82-record dataset: how filing volume has moved year over year, and how the underlying technology splits across IPC subclasses.
A slow start, then a step change
Annual filings rose from 1 in 2017 to a peak of 8 in 2022, and the 2021-to-2024 window alone shows a +600% increase (1 to 7 filings). 2025 and 2026 figures are still filling in as publication catches up with filing dates, so they should not be read as a slowdown.
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.
Measurement classes lead, semiconductor and imaging classes trail
G01R (electric and magnetic measurement) touches 50.0% of the 82 records, roughly double the share of G01T (nuclear and X-radiation measurement, 12.2%), H03F (amplifiers, 12.2%) or H04N (pictorial communication, 12.2%). G01N (material analysis, 28.0%) and H01L (semiconductor devices, 22.0%) form a clear second tier. Because a single record can carry several IPC codes, these shares sum to well over 100% and should be read individually against the 82-record base, not against each other as parts of a whole.
Shares are the percentage of the 82 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
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Try EurekaThe most-cited prior art in this space
WO2003061277A2 — Charge or particle sensing
A sensing arrangement for charged particles and electromagnetic quanta pairs a sensor device with amplifier circuitry: the sensor drives an input node that shifts the amplifier's output level, a negative-feedback device responds to that shift to raise the loop gain, and a current mirror resets the input node to its initial level. Both single-particle and integrating sensor configurations are disclosed.Filed by the European Organization for Nuclear Research, this filing sits at the root of the two highest-cited US records in the dataset and defines a feedback-and-reset architecture that recurs across later charge-sensing filings.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20050104003A1 | Charge or particle sensing | 42 |
| 2 | US7183555B2 | Charge or particle sensing | 35 |
| 3 | US20110090505A1 | Quantum Infrared Sensor and Quantum Infrared Gas Concentration Meter Using the Same | 28 |
| 4 | CN203720338U | 超导量子干涉器磁传感器 | 26 |
| 5 | JP2004028955A | Food product inspection device | 16 |
| 6 | CN203376462U | 超导量子干涉传感器及所适用的磁探测器 | 13 |
| 7 | CN109709496A | 一种量子传感器闭环控制系统及相位误差补偿控制方法 | 11 |
| 8 | JP2011203004A | Quantum-type infrared gas densitometer | 11 |
| 9 | WO2003061277A2 | Charge or particle sensing | 11 |
| 10 | CN108680877A | 平衡接线多通道超导量子干涉磁传感器 | 10 |
Citation counts favour older filings simply because they have had more time to accumulate citations inside the corpus; treat them as a signal of influence on the field, not as a ranking of current technical importance.
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.
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Three readings of the same 82-record set, aimed at where to file, who to watch, and where claim space is still open.
A concentrated top with a long tail
The leader holds 11 records and fifth place holds 8, so the top 5 assignees combined account for 58.5% of all 82 records in scope; the top 10 extend that to 76.8%. Beyond tenth place (2 records) the ranking thins into single- and double-filing entrants, which is where freedom-to-operate is easiest to establish.
A step change, not a steady climb
Filings sat at 1 in 2021 and reached 7 by 2024, a +600% rise over three years, with 2022 the single highest year on record at 8 filings. That pace, combined with the 18-month publication lag, means the true 2025-2026 filing count is almost certainly higher than currently published.
China leads filing venue, the US and EPO follow closely
China's receiving office accounts for 25 of the 82 records, ahead of the United States (13) and the European Patent Office (12). South Korea (10), India (6) and Japan (6) round out the remaining venues, suggesting the technology is being protected across multiple jurisdictions rather than concentrated in one market.
Measurement circuitry, not sensing material, is the busiest claim territory
Half of all 82 records touch G01R (electric and magnetic measurement), well ahead of G01N material analysis (28.0%) and H01L semiconductor devices (22.0%). Amplifier-specific claims under H03F appear on only 12.2% of records, which is a narrower slice than the measurement-class overlap would suggest.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quantum sensor signal conditioning patent landscape, with the prior art for and against each one.
Where to take this analysis
The numbers above describe where filing has already happened. Turning that into a filing or freedom-to-operate decision means going deeper on specific claims and specific assignees.
Map claim-level overlap before drafting
IPC-class shares show where activity clusters, but they do not show which specific claim elements are already occupied. Before drafting in G01R-adjacent territory, check independent claim language against the highest-cited records in this set.
Explore claims in Eureka →Track the long tail, not just the leader
37 assignees make up the full ranking, and most sit below the top 10. New entrants and university-affiliated filers often show up first in that tail before a licensing or acquisition move brings them to attention.
Monitor assignees in Eureka →Re-check 2025-2026 filings as they publish
Publication lag means the two most recent years in this dataset are undercounted. Re-running this view in six to twelve months will surface filings that are currently still in the pipeline.
Set up alerts in Eureka →Frequently asked questions
The dataset ranks 37 assignees by patent family count, with the leader holding 11 of the 82 records in scope and fifth place holding 8. The top 5 assignees combined account for 58.5% of all records, and the top 10 extend that to 76.8%, so filing activity is concentrated but not monopolised. Below the top 10, the ranking thins quickly into entrants with one or two records each, which is typically where new companies and university labs first appear before scaling up filing activity.
Filings rose from 1 in 2021 to 7 in 2024, a documented +600% increase over that three-year span, with 2022 standing as the highest single year recorded so far at 8 filings. Because patent publication typically lags actual filing by around 18 months, the 2025 and 2026 figures in any dataset will understate true filing activity and should not be read as the trend flattening. A fair read of the growth trend stops at 2024, the most recent year that can be treated as complete.
G01R, covering electric and magnetic measurement, appears on 50.0% of the 82 records in scope, making it the single busiest class by a wide margin. G01N (material analysis and testing, 28.0%) and H01L (semiconductor devices, 22.0%) form a clear second tier, while G01T, H03F and H04N each sit around 12.2%. Because individual records often carry more than one IPC class, these percentages are each measured against the full 82-record base rather than against one another, and they will not sum to 100%.
The clearest opening is outside the top 10 assignees, who together hold 76.8% of the 82 records; the remaining filers sit in single- or double-record territory where claim coverage is thinner. By technology class, A61B (diagnosis and surgery, 8.5%) and G01J (radiation and light measurement, 6.1%) carry noticeably less filing density than G01R or G01N, which may indicate under-claimed adjacent applications rather than technical difficulty. Any freedom-to-operate conclusion should still be checked against the specific claim language of the highest-cited records before committing to a filing strategy.
WO2003061277A2, filed by the European Organization for Nuclear Research, describes a charge or particle sensing arrangement combining a sensor device with feedback amplifier circuitry: a negative-feedback device raises loop gain in response to output-level shifts, and a current mirror resets the input node afterward. It matters because it sits upstream of the two highest-cited US records in this dataset on the same charge-sensing architecture, both citing counts above 30. Anyone designing feedback-and-reset readout circuitry for charge or particle sensors should review this filing's claim scope directly rather than relying on the later, more-cited derivatives alone.
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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.