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Quantum Computing Patent Landscape 2026

Quantum Computing Patent Landscape 2026
Competitive Landscape

Quantum Computing Patent Landscape in 2026

IBM holds a commanding lead with 3,073 patent families, and the top five filers together account for 38% of the hundred largest filers’ combined output, signalling high concentration among incumbents. The field is still expanding on a multi-year basis, though annual volume has eased from its 2023 peak, placing quantum computing in a maturing competitive phase.

18,593
Patent families in scope
38%
Top-5 share of top-100 filers
+12%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··8 min readVerified by PatSnap Eureka data
Overview

IBM leads a concentrated field; Google and Microsoft form a distinct second tier

IBM leads the 5 times the output of Google LLC (2,003 patent families), which itself holds a clear gap over Microsoft Technology Licensing (1,002 patent families) and Origin Quantum Computing Technology (996 patent families).

The top five filers collectively hold 38% of the hundred largest filers’ combined total, a level of concentration that reflects both the capital intensity of quantum hardware development and the head-start advantages of large technology incumbents. A meaningful second tier — Northrop Grumman, Beijing Baidu, IonQ, and D-Wave — clusters between 489 and 627 patent families, suggesting that specialist and defence-oriented players have built defensible positions.

Leading applicants
#ApplicantPatent familiesShare
1International Business Machines Corporation3,073
2Google LLC2,003
3Microsoft Technology Licensing LLC1,002
4Origin Quantum Computing Technology (Hefei) Co Ltd996
5Northrop Grumman Systems Corporation627
6BEIJING BAIDU NETCOM SCI & TECH CO LTD615
7IonQ Inc.546
8D-Wave Systems Inc.489
9Fujitsu Ltd413
10IQM Finland Oy410
#ApplicantPatent familiesShare
11RIGETTI & CO INC395
12Quantinuum LLC369
13Tencent Technology (Shenzhen) Co Ltd363
14PsiQuantum Corp342
15Intel Corporation340
16Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA)267
17Yale University239
18Zapata Computing Inc.218
19Massachusetts Institute of Technology215
20PRESIDENT & FELLOWS OF HARVARD COLLEGE212
↗ Hover a row · click a company to ask Eureka

IBM’s scale implies broad freedom-to-operate risk for new entrants across multiple quantum modalities; Google’s trajectory (discussed under Players) suggests it is actively narrowing that gap. The presence of Origin Quantum Computing (Hefei) in the top four signals that Chinese industrial players are competing at a global scale in this space.

Filings from 2024 onward are subject to publication lag and are likely under-counted; the apparent softening in the most recent period should not be read as a real decline in inventive activity. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Filing volume plateaued at a high level; algorithm patents dominate the technology mix

The annual filing trend reveals a rapid build-up from 2017 to 2023 followed by a plateauing near peak levels, while the technology composition chart shows that quantum algorithm and computing-model patents (G06N) account for by far the largest share of activity, with hardware-layer classes forming a secondary cluster.

Annual filing trend

Filings grew sharply from 643 in 2017 to a peak of 3,069 in 2023, then show apparent moderation in 2024 and 2025; the 2024 and 2025 figures are substantially affected by publication lag and should be treated as floor estimates rather than a confirmed slowdown.

Annual filing trendAnnual values from 2017 to 2026, peaking at 3,069 in 2023.643201781720182,05620192,53420202,96120212,97520223,06920232,40320241,0602025752026↗ Hover for values · click a bar to ask Eureka

Technology composition

G06N (computing based on AI and quantum models) is by far the most active class, reflecting the dominant focus on quantum algorithms and hybrid classical-quantum software. Hardware-oriented classes — B82Y (nanotechnology), H10N (solid-state devices), H01L (semiconductor devices), and H03K (pulse and logic circuits) — form a secondary cluster, indicating that physical qubit and control-electronics research remains a significant but secondary share of total output. Lower-volume classes such as H04L (digital information transmission) and G02F (optical control) mark areas where photonic and networking approaches are comparatively sparse.

Technology compositionG06N · Computing based on AI models leads with 18,833; G06F · Electric digital data processing 3,727.G06N · Computing based o…18,833G06F · Electric digital …3,727B82Y · Nanotechnology ap…3,514H10N · Other electric so…3,094H01L · Semiconductor dev…2,627H03K · Pulse technique &…2,392H04L · Digital informati…851H04B · Transmission (gen…766↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20220131064A1Published 2022-04-28

Superconducting qubit and preparation method there…

Alibaba Group Holding Limited

The present disclosure provides a superconducting qubit. The superconducting qubit includes: a Josephson junction and a non-Josephson junction area, wherein the non-Josephson junction area includes a first layer of superconducting material, the first layer of superconducting material being superconducting material deposited on the non-Josephson junction… (excerpt from the patent abstract)

Superconducting qubit and preparation method there… — patent drawingSuperconducting qubit and preparation method there… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Adiabatic quantum computation with superconducting…363
2Adiabatic quantum computation with superconducting…252
3Analog processor comprising quantum devices229
4Superconducting quantum-bit device based on Joseph…215
5Adiabatic quantum computation with superconducting…195
6Performing a Calibration Process in a Quantum Comp…194
7Circuits and methods of implementing time-average-…190
8Architecture for local programming of quantum proc…167

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the patent structure means for R&D investment decisions

The combination of high concentration, a maturing filing curve, active cross-institutional collaboration, and strong US-centric jurisdiction coverage together shape where competitive risk is high and where room to build differentiated positions still exists.

Maturity

Field is at a plateau after rapid growth; annual volume has eased from the 2023 peak

The lifecycle evidence places quantum computing at a Maturity stage: annual filings plateaued near their 2023 peak of 3,069, and the multi-year window still reflects positive growth of 12% over the prior period. For R&D planners, this means the low-hanging algorithmic and architecture claims are increasingly crowded; new filings need to target genuinely differentiated technical approaches to avoid dense prior-art thickets.

Lifecycle: Maturity
Concentration

Top five hold 38% of the hundred largest filers’ combined output; three-tier structure visible

A three-tier structure is apparent: IBM alone holds over 3,000 patent families; Google, Microsoft, and Origin Quantum sit in the 1,000-2,000 range; and a mid-tier of specialist firms (IonQ, D-Wave, Rigetti, IQM Finland) holds 395-627 families each. Firms entering below tier two face significant freedom-to-operate exposure in core qubit architectures and control systems, making licensing strategy or narrow-niche differentiation essential.

High concentration
Collaboration

IBM’s global entity network and IonQ-university ties are the most active co-filing relationships

The most active co-filing pairs are IBM with IBM Deutschland GmbH (196 co-filings) and IBM with IBM United Kingdom (132 co-filings), reflecting coordinated multi-jurisdictional prosecution within the IBM group. IonQ has the strongest external academic links, co-filing 81 families with the University of Maryland and 57 with Duke University. IBM also co-filed 12 families with Goldman Sachs, pointing to emerging finance-sector application development.

Ecosystem co-filing
Geography

US dominates prosecution; Europe and WIPO are the main secondary routes; Asia is selectively targeted

The United States is the primary prosecution destination, followed by EPO (Europe) and WIPO (PCT) as the principal routes for international coverage. Australia, Canada, and Germany represent important secondary markets. China’s comparatively lower count in jurisdictions — despite Origin Quantum and Baidu ranking highly as applicants — suggests that Chinese domestic filings may be captured differently in the dataset. South Korea and Japan show moderate activity, indicating selective Asia-Pacific coverage strategies among leading filers.

US-centric, EPO secondary
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Top collaboration links
ApplicantCollaboratorCo-filings
International Business Machines CorporationIBM Deutschland GmbH196
International Business Machines CorporationIBM United Kingdom Ltd132
IonQ Inc.University of Maryland81
IonQ Inc.Duke University57
International Business Machines CorporationGoldman Sachs & Co LLC12
International Business Machines CorporationIBM China Co Ltd10
RIGETTI & CO INCRIGETTI AUSTRALIA PTY LTD9
RIGETTI & CO INCRIGETTI UK LTD7
RIGETTI & CO INCPresident and Fellows of Harvard College6
International Business Machines CorporationE.ON Digital Technology GmbH5

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Collaboration counts reflect co-applicant pairs on shared patent families.Explore insights →
Leaders

IBM leads on scale; Google accelerating; IonQ and Rigetti growing among specialists

IBM’s position reflects decades of sustained investment across quantum algorithms and superconducting hardware. Google is the fastest-moving large-scale challenger, while IonQ and Rigetti show the strongest recent momentum among specialist hardware firms.

Leader · IBM

International Business Machines Corporation

IBM leads the ranking with 3,073 patent families, concentrated heavily in quantum computing models (G06N, 2,401 records) and solid-state/superconducting device classes (H10N, 776 records). Its recent filing momentum shows a decline of 56% against the prior three-year period, consistent with a portfolio in consolidation rather than rapid expansion — though at 677 recent families, its absolute output still exceeds most rivals’ cumulative totals. The IBM group co-files extensively through its German and UK subsidiaries, reinforcing broad jurisdictional coverage.

patent families: 3,073
Challenger · Google

Google LLC

Google ranks second with 2,003 patent families and is the only top-three player showing positive recent momentum, up 17% versus the prior period, with 657 recent families. Its technology emphasis mirrors IBM in quantum computing models (G06N, 1,663 records) but extends into solid-state device innovation (H10N, 259 records) and classical computing models (G06N20, 168 records), reflecting its superconducting qubit program. Google’s trajectory suggests it is actively narrowing the gap with IBM in absolute portfolio scale.

patent families: 2,003
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Microsoft Technology Licensing LLCOrigin Quantum Computing Technology (Hefei) Co Ltd+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
International Business Machines Corporation677▼ -56%
Google LLC657▲ +17%
Microsoft Technology Licensing LLC233▼ -51%
IonQ Inc.262▲ +31%
D-Wave Systems Inc.76▼ -55%
Northrop Grumman Systems Corporation11▼ -90%
RIGETTI & CO INC153▲ +24%
IQM Finland Oy122▼ -36%
Source: PatSnap Eureka. Applicant family counts are at the patent-family level; momentum trends compare the most recent period to the prior equivalent window.Explore players →
Adjacent Branches

Under-served adjacent branches in quantum hardware interfaces and photonics

Several IPC classes adjacent to the dominant quantum algorithm core show comparatively lower filing shares, suggesting they are less saturated relative to their technical relevance to quantum computing system integration.

H04L · Digital information transmission for quantum networks

H04L appears at a 2% share of patent records among the top branches — sparse relative to the algorithm-dominant G06N class — despite being directly relevant to quantum key distribution, quantum networking protocols, and hybrid classical-quantum communication stacks. The technical case for investment is strong given growing interest in quantum-secure communications; entry paths include co-development with telecom or cybersecurity players already active in H04L.

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G02F · Optical control and modulation for photonic qubits

G02F (optical control and modulation) has 521 patent records in the dataset, a notably low share given that photonic quantum computing is one of the main competing qubit modalities pursued by PsiQuantum and others. The relative sparsity may reflect the early-stage nature of photonic IP or concentration in a small number of filers; teams working on integrated photonic qubit platforms or modulators for quantum repeaters could find less crowded claim space here than in superconducting device classes.

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See filing density, lead applicants, and entry-path analysis across all adjacent IPC branches in quantum computing.
H03K · Pulse technique and logic circuitsG16C · Computational chemistry for quantum simulation+ more
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Source: PatSnap Eureka. Branch counts are at the patent-record level; a family filing in multiple classes appears in each relevant branch.Explore emerging →
Route Matrix

How leading filers differ in their technology route emphasis

Strength of each leader across the main technology routes.

PlayerG06N 10 · Computing based on AI modelsB82Y 10 · Nanotechnology applicationsH10N 60 · Other electric solid-state devicesH10N 69 · Other electric solid-state devicesH03K 19 · Pulse technique & logic circuits
International Business Machines CorporationStrong · 2,401Emerging · 323Moderate · 776Moderate · 508Emerging · 194
Google LLCStrong · 1,663Emerging · 110Emerging · 259Emerging · 126Emerging · 111
Microsoft Technology Licensing LLCStrong · 817Emerging · 135Emerging · 156Emerging · 102Emerging · 60
D-Wave Systems Inc.Strong · 352Moderate · 146Moderate · 124Emerging · 60Emerging · 59
Rigetti & Co Inc.Strong · 338Moderate · 163Emerging · 48Emerging · 46Moderate · 72
IonQ Inc.Strong · 492AbsentAbsentAbsentAbsent
IQM Finland OyStrong · 312AbsentModerate · 74Moderate · 90Absent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in 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.

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