Industry Intelligence

Quantum Computing Patent Landscape. Patent Landscape & Market Signals.

A quantum computing patent landscape maps filing trends, top assignees and open white space โ€” see what 2024 WIPO, MIT and analyst data reveal before you file.

Quantum computing patent landscape mapping filing trends assignees and white space
Reading where quantum innovation is filed, owned and still open.

A quantum computing patent landscape is the structured read of who is filing, where, and on what across superconducting, trapped-ion, photonic and topological qubits, quantum error correction and quantum algorithms — the map a strategy or IP team uses to see filing momentum, the assignees that dominate a technology, and the white space still open to a new entrant. The urgency is in the numbers: quantum technology patent filings grew roughly fivefold between 2014 and 2024, and quantum computing patent families alone rose more than 300% across 2016–2021, according to data compiled in the MIT Quantum Index Report from WIPO records. Reading the field before filing into it is how a limited IP budget gets aimed at ground that is still winnable.

What the Quantum Computing Patent Landscape Shows in 2026

A quantum computing patent landscape turns a scattered mass of filings into three answers a strategy team can act on: is innovation in a technology accelerating or cooling, which organisations already hold the ground, and where is the ground still open. Each is a different cut of the same public record — the filing trend, the assignee ranking, and the white-space gap — and each drives a different decision, from where to file next to who to license from or design around.

The macro backdrop makes the exercise urgent. Analysis in the MIT Quantum Index Report, built on WIPO data, shows quantum technology filings rising roughly fivefold across 2014–2024, with quantum computing sitting at the centre of that curve as the field moves out of the university lab and into commercial hardware roadmaps.

What makes quantum harder to read than a single-product scan is that it spans several competing hardware modalities — superconducting, trapped-ion, photonic, neutral-atom and topological qubits — plus a fast-growing error-correction layer and a software layer of quantum algorithms, each moving at a different speed and each with a different set of leaders. Counting filings without separating those layers produces a number, not an insight.

The landscape connects directly to the sector next door: quantum control electronics, cryogenics and qubit fabrication overlap heavily with the semiconductor patent landscape, so a serious read has to reach across classification boundaries rather than stopping at a single technology class.

The first cut of any landscape is the filing trend, and quantum computing’s is one of the steepest in deep tech. Beyond the fivefold rise in quantum technology filings across 2014–2024, quantum computing patent families specifically grew more than 300% between 2016 and 2021, and quantum computing patents ran at roughly a 49% average annual growth rate across 2019–2023 — figures drawn from WIPO records in the MIT Quantum Index Report and the Foley analysis of foundational quantum filings.

But the headline curve hides a structural shift in who is doing the filing. In 2023, universities filed a record 1,668 quantum patent families — their highest output to date — while corporate filings eased to around 837 families, and 2023 marked the first broad-based decline across several filer categories.

That divergence matters because the two curves point at different things. A rising university curve signals foundational research still moving toward publication and filing; a cooling corporate curve can mean either a pause in commercial confidence or a shift from broad landgrab filing toward narrower, higher-value claims. Reading only the total would miss both.

A further caution: 2024 and 2025 counts are always understated at the time of reading because of the 18-to-24-month gap between filing and publication. A landscape that treats the most recent two years as a decline, rather than an artefact of the publication lag, will misread exactly the period a decision depends on.

Who Leads: Countries and the Chinaโ€“US Gap

At the country level the last decade has redrawn the map. On WIPO-sourced data compiled in the MIT Quantum Index Report, China’s quantum technology filings climbed from about 1,011 in 2014 to roughly 7,308 in 2024 — around 60% of the global total — while the United States grew from 613 to about 2,301, close to a 19% share, and international (PCT) filings reached about 1,072.

Filing origin201420242024 share
China1,0117,308~60%
United States6132,301~19%
International (PCT)2651,072~9%

The top three filing origins together controlled roughly 88% of quantum technology patents in 2024, with Japan the next-largest single country. Concentration that high means a filing or freedom-to-operate strategy has to be built jurisdiction by jurisdiction: the crowding a company faces in China looks nothing like the crowding it faces at the USPTO or the EPO.

Volume, though, is not the same as commercial reach. A large share of China’s count is filed domestically, whereas US and European assignees weight more heavily toward international families that cover multiple markets. A landscape that ranks countries on raw counts alone, without weighting for family size and jurisdictional coverage, will overstate one lead and understate another.

Who Owns It: Corporates, Universities and the Top Assignees

The ownership structure is unusual for a deep-tech field. Across quantum computing patent families, corporations hold about 54% and universities about 37% — a combined 91% — with governments, non-profits and individual inventors splitting the remaining 9%. That heavy academic weight is the fingerprint of a technology still crossing from research into product.

At the corporate level, IBM sits clearly in front: analyst counts put IBM at 191 quantum-technology patents granted in 2024 (117 of them at the USPTO) on top of a cumulative portfolio reported at more than 2,500 quantum-related patents worldwide, with Google/Alphabet second at 168 grants in 2024. Microsoft, Intel and Baidu round out the most-cited corporate leaders.

AssigneeSignal
IBM191 grants in 2024 (117 US); 2,500+ cumulative quantum-related patents
Google / Alphabet168 grants in 2024; superconducting focus
Microsoft, Intel, BaiduConsistent top-10 corporate filers
IonQ~400 patents concentrated in quantum networking
D-WaveHundreds of families, annealing-led portfolio

Benchmarking those portfolios against each other is the point: two firms with similar counts can hold completely different ground — one deep in superconducting qubit fabrication, the other in trapped-ion control or quantum networking — and it is the overlap, not the raw count, that predicts where cross-licensing pressure and litigation risk will land. That read is exactly what feeds a technology scouting shortlist of who to partner with, license from or acquire.

The Technology Clusters: Modalities, Error Correction and Algorithms

A useful landscape is cut into technology clusters, because ‘quantum computing’ is far too broad to guide a filing budget. Classification data show the software layer — captured largely under G06N, covering quantum algorithms and information processing — as the single densest area, with a secondary hardware cluster spread across G06F, H01L, H10N and B82Y. The clusters carrying the current growth are distinct, and each has its own leaders and its own crowding:

  • Qubit modalities — superconducting (IBM, Google), trapped-ion (IonQ, Quantinuum), photonic, neutral-atom and topological approaches, each a separate hardware race with different incumbents.
  • Quantum error correction — the fastest-shifting layer, where the US holds about 87 QEC patents against China’s 69, and IBM and Google lead the corporate field.
  • Logical qubits — a narrow but strategically decisive niche of roughly 117 patents globally, of which the US holds about 56.
  • Control, readout and cryogenics — the classical hardware around the qubit, where the overlap with semiconductor and electronics IP is heaviest.
  • Quantum algorithms and software — the G06N-dominated layer, spanning error mitigation, compilation and domain-specific algorithms.

Error correction and quantum networking are consistently flagged as the fastest-growing sub-areas — the layers that turn noisy prototypes into useful machines. A good study maps each cluster’s filing curve separately, so a team can back the rising technology rather than the crowded one, and can see when a niche such as logical qubits is shifting from research filings toward manufacturable claims.

White Space, and How to Commission the Landscape

The most valuable output of a quantum computing patent landscape is not the list of what exists but the map of what does not — the white space where filing density is low, incumbents are absent, and a new claim can still stake real ground. Recent analysis points to four openings in particular: core hardware architectures across the less-crowded modalities, error-correction mechanisms, quantum-classical hybrid system optimisation, and domain-specific quantum algorithms tuned to industries such as pharmaceuticals, logistics, finance and materials science.

In a field where the leaders each file dozens to hundreds of families a year, white space is rarely a whole technology; it is a specific combination — a control scheme for a particular ion trap, a decoder for a particular error-correcting code, a compilation step for a particular algorithm class — that the crowd has not yet reached. Finding it means reading the record at the claim and classification level, the discipline behind a formal patent white space analysis, and we walk through exactly that on a quantum target in our quantum white-space case study.

White space also cuts the other way, as a warning: a gap every major assignee has avoided is often a gap for a reason — a materials wall, a decoherence limit, or a dead-end architecture that closed the door. Because clusters such as error correction move fast, an opening that is real this quarter can be filled within a year, so the map is read as a moving picture rather than a snapshot.

The sharper the brief, the more decision-ready the result. Name the modality — superconducting, trapped-ion, photonic, neutral-atom — the geographies that matter to your product, and the decision the study has to serve, whether a filing programme, a freedom-to-operate clearance or a diligence read on a target. From there we rebuild the quantum computing patent landscape from the primary record: filing and grant trends pulled by office and classification, assignees normalised so one organisation filing under several names is counted once, the field split into technology clusters, and the white space mapped at a level a team can actually file into — every figure tied back to WIPO, EPO or the MIT Quantum Index Report so the readout survives a board or an investment committee.

What You Receive

  • A filing-trend analysis — application and grant momentum by year, office and quantum technology
  • Top-assignee benchmarking — who owns superconducting, trapped-ion, photonic and error-correction IP, how fast each is growing, and where portfolios overlap
  • A technology-cluster map splitting the field into qubit modalities, error correction, control and readout, and quantum algorithms
  • A white-space readout — the sub-technologies and geographies where filing density is still low enough to claim position
  • A primary-source evidence pack citing WIPO, EPO and the MIT Quantum Index Report behind every number

Data Sources & References

This analysis draws on primary patent and market data:

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Tell us the qubit modality and the decision it has to serve, and we will map the filings, the owners and the white space against the primary WIPO, EPO and MIT Quantum Index Report record.

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Related PerspireIP work: Patent White Space Analysis · Technology Scouting · Semiconductor Patent Landscape · Quantum White-Space Case Study.

Frequently Asked Questions

What is a quantum computing patent landscape?

It is a structured analysis of quantum computing patent filings — filing and grant trends by office and technology, the top assignees and their overlaps, a technology-cluster map across qubit modalities, error correction and algorithms, and the white space still open. It turns the public patent record into a map an R&D, strategy or deal team can act on.

How fast is quantum computing patenting growing?

Quantum technology filings grew roughly fivefold between 2014 and 2024, and quantum computing patent families specifically rose more than 300% across 2016–2021, at about a 49% average annual rate in 2019–2023. Recent-year totals read low only because of the 18-to-24-month gap between filing and publication.

Which country leads quantum computing patents?

China. On WIPO-sourced data in the MIT Quantum Index Report, Chinese quantum technology filings reached about 7,308 in 2024 — roughly 60% of the global total — against the United States at about 2,301 (~19%). The top three filing origins together held about 88% of 2024 filings.

Who owns the most quantum computing patents?

IBM leads corporate assignees with 191 quantum-technology grants in 2024 (117 at the USPTO) and a cumulative portfolio reported above 2,500 patents, with Google/Alphabet second at 168 grants. But corporations hold only about 54% of families overall — universities hold roughly 37%, an unusually high academic share.

Where is the white space in quantum computing?

Recent analysis flags four openings: core hardware architectures in the less-crowded qubit modalities, error-correction mechanisms, quantum-classical hybrid optimisation, and domain-specific algorithms for sectors such as pharma, logistics, finance and materials. White space is usually a specific combination, not a whole technology, so it has to be read at the claim and classification level.

How is a quantum landscape used in a filing or deal decision?

It shows which modality a competitor actually dominates, which incumbents a portfolio overlaps, and where filing density is still low enough to claim position — the inputs a team turns into a defensible filing programme, a freedom-to-operate read, or a diligence view on an acquisition target.

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