Trapped-ion quantum processors in 2026: overview
Trapped-ion quantum processors use electrically confined ions as qubits and manipulate them to perform quantum computations. Their long-lived quantum states and precise control make them a strong platform for studying quantum systems and building programmable processors. The engineering challenge is to scale from controlled experiments to systems that maintain reliable operations while coordinating ion movement, control signals, readout and error correction.
Recent work targets both scale and interconnects: Quantinuum’s 98-qubit all-to-all processor was reported in July 2026, while Lawrence Berkeley National Laboratory demonstrated a temporally multiplexed ion–photon interface using fast ion-chain transport in August 2026. In September 2026, IonQ reported a real-time decoder that handled 408 logical qubits on a commodity CPU. These efforts point to a field advancing through processor architecture, networking and error-correction software, while control electronics, shuttling junctions and photonic integration remain important engineering constraints.
- 1Scale through movement: QCCD ion shuttling is gaining activity as processor designers use ion movement to connect processing zones without relying on one large static chain.
- 2Build beyond the chip: Ion–photon interfaces and modular links are advancing distributed architectures, but efficient remote entanglement remains a technical bottleneck.
- 3Software meets hardware: Work on real-time decoding and hardware-aware compilation shows that processor progress depends on classical control and software as well as qubit counts.
Top organizations working on trapped-ion quantum processors
Ranked by Linknovate activity score · last 24 monthsThe activity score adds up the relevance of every patent, publication, grant and news item linking an organization to trapped-ion quantum processors. Showing 7 of 172 organizations.
| # | Organization | Approach | Signals (24 mo) | Momentum | Why it matters |
|---|---|---|---|---|---|
| 1 |
IonQ Inc.
Corporate · United States |
Large ion-chain processors | PAT 20 · PUB 7 NEWS 199 |
-15% | Recently, IonQ signed a contract to install its Superion 256 processor at Florida International University and demonstrated a real-time quantum error-correction decoder running on a commodity CPU. |
| 2 |
Quantinuum
Corporate · United States |
QCCD ion shuttling | PAT 13 · PUB 29 NEWS 70 |
+54% | Recently, Quantinuum introduced its 98-qubit Helios processor, which uses ion movement within a QCCD architecture to support large-scale, highly connected trapped-ion computation. |
| 3 |
Honeywell
Corporate · United States |
General | NEWS 114 | -59% | Honeywell fabricated the ion trap used in Quantinuum’s H2 experiments and contributed trapped-ion hardware expertise through its former quantum-computing division. |
| 4 |
Massachusetts Institute of Technology
Research · United States |
General | PUB 8 · NEWS 63 | -46% | Recently, MIT researchers developed approximate compilation schemes to reduce the cost of implementing the Quantum Approximate Optimization Algorithm on trapped-ion processors. |
| 5 |
Sandia National Laboratories
Research · United States |
General | PUB 6 · NEWS 56 | -41% | Sandia researchers work on trapped-ion processor control and hardware, including CMOS-compatible optical modulators and system-on-chip data-transfer architectures. |
| 6 |
Duke University
Research · United States |
General | PAT 4 · PUB 13 GRANTS 4 · NEWS 29 |
-89% | Duke researchers use trapped-ion quantum processors to investigate quantum simulations and develop gate techniques, including mode-engineered two-qubit operations. |
| 7 |
University of Innsbruck
Research · Austria |
QCCD ion shuttling | PUB 20 · GRANTS 2 NEWS 28 |
-28% | Researchers demonstrate two-dimensional connectivity for a scalable ion-trap processor architecture and develop ion-transport integrated circuits for moving ions between processing zones. |
| 8 | ··Hidden organizationCompany | Approach | PAT 00 · PUB 00 GRANTS 0 · NEWS 00 | +00% | Available to registered users. |
| 9 | ··Hidden organizationCompany | Approach | PAT 00 · PUB 00 GRANTS 0 · NEWS 00 | +00% | Available to registered users. |
| 10 | ··Hidden organizationCompany | Approach | PAT 00 · PUB 00 GRANTS 0 · NEWS 00 | +00% | Available to registered users. |
Startups to watch and leading research centers
Startups to watch 12 total
Alpine Quantum Technologies GmbhAustriaAQT develops general-purpose ion-trap quantum computers and has partnered with Classiq to connect its hardware to quantum software and application workflows.
eleQtron GmbHGermanyRecently, eleQtron filed patents covering ion traps and quantum-computer systems; its MAGIC approach uses magnetic-gradient-induced coupling for laser-free entangling gates.- ··Hidden startupCountryAvailable to registered users, with funding and founding year.
- ··Hidden startupCountryAvailable to registered users, with funding and founding year.
Leading research institutions 128 total
Massachusetts Institute of TechnologyUnited StatesRecently, MIT researchers developed approximate compilation schemes to reduce the cost of implementing the Quantum Approximate Optimization Algorithm on trapped-ion processors.
Sandia National LaboratoriesUnited StatesSandia researchers work on trapped-ion processor control and hardware, including CMOS-compatible optical modulators and system-on-chip data-transfer architectures.
Duke UniversityUnited StatesDuke researchers use trapped-ion quantum processors to investigate quantum simulations and develop gate techniques, including mode-engineered two-qubit operations.- ··Hidden research institutionCountryAvailable to registered users, with their key researchers.
- ··Hidden research institutionCountryAvailable to registered users, with their key researchers.
Where trapped-ion quantum processors innovation happens
Share of documents with at least one organization from each country.
Open the interactive map with all 172 organizationsMain technical approaches
Last 24 months| Approach | What it is | Documents | Leading organizations |
|---|---|---|---|
| QCCD ion shuttling | Ions move between processing zones to support flexible connectivity; transport control and junction reliability complicate scaling. | 76 |
Quantinuum, ETH Zurich, Universal Quantum Ltd |
| Large ion-chain processors | Long chains offer broad connectivity in one trap, but coordinating many ions and their shared motion becomes harder as systems grow. | 47 |
Quantinuum, University of Washington, New Mexico 87185 |
| Two-dimensional trap arrays | Arrays extend processor layouts beyond a single chain, but require reliable ion transport and control across a more complex device. | 32 |
Physikalisch - Technische Bundesanstalt, Infineon Technologies, FORWARD |
| Modular photonic links | Photons connect separate ion-trap modules, supporting distributed scaling while adding demands for efficient, reliable remote entanglement. | 71 |
IBM, IonQ Inc., Microsoft |
| Microwave-driven gates | Microwave control can reduce reliance on laser-driven gates, but signal quality and power handling constrain gate performance. | 20 |
Eleqtron, Schwarz Digits, University of Siegen |
Emerging trends
Last 12 months vs previous 36 monthsTerms whose frequency in the last 12 months grew the most compared with the previous 36 months.
Funding and investment
Recent funding rounds
FACTS records $136,006,869 across 93 grants since 2020. Recent company financing includes eleQtron’s €57 million Series A in May 2026 and ZuriQ’s $25.5 million seed round in July 2026.
Patent landscape
Top patent holders · last 24 monthsRecent developments
Latest news, duplicates removed- Sep 2026The federal funding deployed through the CHIPS and Science Act supports R&D and US quantum semiconductor manufacturing capabilities needed to deploy large-scale, fault-tolerant trapped-ion quantum computers.…evertiq.com :: Latest news
- Aug 2026In the global race to build bigger and better quantum computers, researchers have taken a step forward. A new machine called Helios is a radically different system compared to other quantum computers. Quantum computers…ZME Science
- Aug 2026Via thedailyupside.com Quantinuum and Quanta Computer sign deal to build quantum computing hardware at scale The partnership pairs trapped-ion quantum expertise with Fortune Global 500 manufacturing muscle to push…Crypto Briefing
- Jul 2026ZuriQ, a Zürich-based quantum computing company building a utility-scale quantum computer with a native two-dimensional trap architecture, today announced it has raised €22.4 million ($25.5 million) in Seed funding to…EU-Startups
- Month 20XXHidden developmentAvailable to registered users with alerts enabled.
Frequently asked questions about trapped-ion quantum processors
What companies are working on trapped-ion quantum processors?
IonQ Inc. and Quantinuum are prominent companies developing trapped-ion processors. FACTS also identifies Oxford Ionics, eleQtron GmbH and Alpine Quantum Technologies GmbH among active companies and startups. Their approaches include large ion chains, QCCD ion shuttling and microwave-driven gates, reflecting different ways to scale connectivity and control.
Which trapped-ion quantum processor startups are promising in 2026?
eleQtron GmbH and Alpine Quantum Technologies GmbH are identified as trapped-ion startups, while ZuriQ is developing a two-dimensional trap architecture. In May 2026, eleQtron announced a €57 million Series A; ZuriQ announced a $25.5 million seed round in July 2026. These are signals of investment and development, not proof of commercial performance.
Which universities and research centers lead trapped-ion processor research?
Massachusetts Institute of Technology, Sandia National Laboratories and Duke University are among the active research organizations identified in FACTS. Other contributors include University of Innsbruck, ETH Zurich, University of Maryland College Park and Lawrence Berkeley National Laboratory. Their work spans compilation, control hardware, ion transport and ion–photon interfaces.
How much funding has trapped-ion quantum processors received?
FACTS records $136,006,869 across 93 grants since 2020. Recent company financing includes eleQtron’s €57 million Series A in May 2026 and ZuriQ’s $25.5 million seed round in July 2026. These figures represent different types of support and should not be treated as a single comparable funding pool.
Who holds the most trapped-ion quantum processor patents?
IonQ Inc. leads the listed patent holders with 20 patents, followed by Quantinuum with 13 and eleQtron GmbH with 11. Universal Quantum Ltd has 7, while Kipu Quantum has 6. These counts reflect the patent-holder data in FACTS, rather than a complete measure of each organization’s intellectual-property position.
Is trapped-ion quantum processor patent activity growing?
No: the patent activity growth figure is -60.3% for the last 12 months versus the previous 12 months. FACTS lists 102 patents in the 24-month window. Publication activity moved in the opposite direction, with 224 publications in the last year and growth of 7.2%, suggesting research output and patenting are following different trajectories.
What are the latest developments in trapped-ion quantum processors?
Recent developments include Quantinuum’s 98-qubit all-to-all processor publication in July 2026 and Lawrence Berkeley National Laboratory’s temporally multiplexed ion–photon interface in August 2026. In September 2026, IonQ reported a real-time error-correction decoder handling 408 logical qubits on a commodity CPU. These efforts address processor scale, networking and decoding.
What are the main approaches in trapped-ion quantum processors?
FACTS identifies five approaches: QCCD ion shuttling, large ion-chain processors, two-dimensional trap arrays, modular photonic links and microwave-driven gates. QCCD moves ions between processing zones; long chains provide connectivity in one trap; arrays expand layouts; photonic links connect modules; and microwave gates offer an alternative control method. Each approach trades architectural flexibility against control complexity.
What are the applications of trapped-ion quantum processors?
FACTS identifies hybrid scientific computing, optimization and logistics, quantum chemistry and materials, many-body physics, and cryptography as application areas. Recent research includes calculating water-molecule rovibrational energy levels on a trapped-ion quantum computer in August 2026 and modeling chemical reaction barriers with a quantum-classical workflow in August 2026. These are research directions, not evidence of broad commercial advantage.