Key takeaways
- Top pick: IBM Quantum, best for: Enterprises and researchers running quantum workloads in the cloud. IBM lists its Nighthawk processor with 120 programmable qubits.
- Also near the top: Google Quantum AI, best for: Research partners working on error-corrected quantum computing; and Quantinuum, best for: Enterprises needing high-accuracy trapped-ion hardware.
- How it was ranked: 10 deep tech companies compared. Each verdict is below.
Best Quantum Computing Companies: Top 10 Ranked. IBM Quantum ranks first, with a Lister Score of 96.9.
IBM leads for cloud access to quantum hardware globally, and
Google Quantum AI has the strongest error-correction results with its Willow chip.
Quantinuum is the choice for high-accuracy trapped-ion hardware,
IonQ is the easiest to buy on-premise or use through major clouds, and
PsiQuantum is the best-funded bet on photonic, million-qubit machines.
Best Quantum Computing Companies in 2026, compared| RANK | ENTRY | BEST FOR | SCORE | FROM |
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| 1 |  IBM QuantumIBM lists its Nighthawk processor with 120 programmable qubits. | Enterprises and researchers running quantum workloads in the cloud | 96.9 | $96 per minute |
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| 2 |  Google Quantum AIWillow is a 105-qubit processor, announced in December 2024. | Research partners working on error-corrected quantum computing | 95.7 | Not public |
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| 3 |  QuantinuumQuantinuum closed its initial public offering on Nasdaq, under the ticker QNT, in June 2026. | Enterprises needing high-accuracy trapped-ion hardware | 94.6 | Custom |
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| 4 |  IonQIonQ announced in September 2026 that Florida International University selected its Superion 256 platform for an on-premise deployment. | Organisations buying on-premise systems or using cloud quantum access | 93.4 | Custom |
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| 5 |  PsiQuantumPsiQuantum raised $1 billion in September 2025 to build million-qubit-scale, fault-tolerant machines, according to The Quantum Insider. | Governments and enterprises planning large-scale quantum computing | 92.1 | Custom |
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| 6 |  QuEra ComputingQuEra's $230 million round in February 2025 was backed by Google Quantum AI and the SoftBank Vision Fund. | Research centres buying neutral-atom systems | 90.8 | Custom |
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| 7 |  D-Wave QuantumD-Wave says Advantage2 has more than 4,400 qubits and is available in more than 40 countries through Leap. | Businesses solving optimisation and scheduling problems | 89.5 | Custom |
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| 8 |  Atom ComputingMagne is specified with 50 logical qubits and 1,225 physical neutral-atom qubits, and is expected to be operational by early 2027. | Partners building logical-qubit systems | 88.2 | Custom |
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| 9 |  IQM Quantum ComputersIQM's $320 million Series B was led by Ten Eleven Ventures and brought its total funding to about $600 million. | Research centres buying on-premise quantum computers | 86.9 | Custom |
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| 10 |  Rigetti ComputingRigetti sells Novera, a 9-qubit quantum processing unit, for on-premise use in labs. | Labs that want a small on-premise quantum processor | 85.6 | Not public |
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How to choose
Start from what you need it for. Where each entry fits best:
- IBM Quantum (#1): Enterprises and researchers running quantum workloads in the cloud
- Google Quantum AI (#2): Research partners working on error-corrected quantum computing
- Quantinuum (#3): Enterprises needing high-accuracy trapped-ion hardware
- IonQ (#4): Organisations buying on-premise systems or using cloud quantum access
- PsiQuantum (#5): Governments and enterprises planning large-scale quantum computing
- QuEra Computing (#6): Research centres buying neutral-atom systems
- D-Wave Quantum (#7): Businesses solving optimisation and scheduling problems
- Atom Computing (#8): Partners building logical-qubit systems
- IQM Quantum Computers (#9): Research centres buying on-premise quantum computers
- Rigetti Computing (#10): Labs that want a small on-premise quantum processor
Each entry's full verdict is below.
The ranking, in detail
01
Cloud fleet of superconducting quantum computers
IBM runs a fleet of superconducting quantum computers that customers use through the IBM Quantum Platform, programmed with its open-source Qiskit software. Its processors include Heron and Nighthawk.
PROS- Large cloud fleet with public pricing
- Widely used open-source software
CONS- Pay-as-you-go time is costly
- Practical advantage still limited to narrow problems
- Best for
- Enterprises and researchers running quantum workloads in the cloud
- Where it falls short
- Pay-as-you-go time is costly for users.
96.9
02
Willow superconducting quantum chip
Google Quantum AI builds superconducting quantum processors, including Willow, announced in December 2024, which showed errors falling as its error-correcting code grew larger.
PROS- Strong error-correction results
- Large research team and funding
CONS- No general commercial access
- Price not published
- Best for
- Research partners working on error-corrected quantum computing
- Where it falls short
- It does not offer general commercial access to its quantum processors.
- Pick something else if
- you need immediate commercial access.
95.7
03
Helios trapped-ion quantum computer
Quantinuum, with bases in Broomfield, Colorado and Cambridge, UK, builds trapped-ion quantum computers. It launched Helios, with 98 fully connected physical qubits, in November 2025.
PROS- High-fidelity qubits
- Fully connected qubit layout
CONS- Fewer physical qubits than neutral-atom rivals
- Price not published
- Best for
- Enterprises needing high-accuracy trapped-ion hardware
- Where it falls short
- It offers fewer physical qubits than neutral-atom rivals.
- Pick something else if
- you need more physical qubits.
94.6
04
Trapped-ion systems for cloud and on-premise use
IonQ, based in College Park, Maryland, builds trapped-ion quantum computers offered through major cloud platforms and sold for on-premise installation. It is listed on the New York Stock Exchange.
PROS- Available on major cloud platforms
- On-premise systems for sale
CONS- Competes with much larger technology groups
- Price not published
- Best for
- Organisations buying on-premise systems or using cloud quantum access
- Where it falls short
- It does not publish its pricing, making cost comparison difficult.
- Pick something else if
- you need transparent upfront pricing.
93.4
05
Photonic fault-tolerant quantum computers
PsiQuantum, based in Palo Alto, California, is building photonic quantum computers made with standard semiconductor processes, aiming at million-qubit, fault-tolerant machines. It raised $1 billion in a Series E in September 2025.
PROS- Chips made in commercial fabs
- Major government backing in Australia and the US
CONS- No commercial machine yet
- Depends on an unproven scale-up
- Best for
- Governments and enterprises planning large-scale quantum computing
- Where it falls short
- No commercial machine yet.
- Pick something else if
- you need a working quantum computer today.
92.1
06
Neutral-atom quantum computers
QuEra Computing, based in Boston, builds neutral-atom quantum computers offered through the cloud and for on-premise installation. It raised more than $230 million in February 2025.
PROS- Strong error-correction research
- Cloud and on-premise options
CONS- Smaller company than the technology giants
- Price not published
- Best for
- Research centres buying neutral-atom systems
- Where it falls short
- Buyers cannot see the price before purchasing.
- Pick something else if
- you need transparent pricing upfront.
90.8
07
Quantum annealing for optimisation
D-Wave builds quantum annealing computers for optimisation problems, offered through its Leap cloud service and for on-premise purchase. Its Advantage2 system became generally available in May 2025.
PROS- Commercial cloud service in many countries
- Systems available for on-premise purchase
CONS- Annealing suits a narrower set of problems than gate-model machines
- Price not published
- Best for
- Businesses solving optimisation and scheduling problems
- Where it falls short
- Annealing suits a narrower set of problems than gate-model machines.
- Pick something else if
- you need gate-model quantum computing capabilities.
89.5
08
Large neutral-atom qubit arrays
Atom Computing, based in Berkeley, California, builds neutral-atom quantum computers and is working with Microsoft on Magne, a logical-qubit machine for Denmark's QuNorth initiative.
PROS- Large qubit arrays
- Partnership with Microsoft
CONS- First large deliveries still ahead
- Price not published
- Best for
- Partners building logical-qubit systems
- Where it falls short
- Buyers cannot see the cost because the price is not published.
- Pick something else if
- you need to know the exact price before committing.
88.2
09
Superconducting quantum computers
IQM, based in Espoo, Finland, builds superconducting quantum computers that customers can own on-premise or use through the cloud. It raised $320 million in a Series B in September 2025.
PROS- Sells systems for on-premise installation
- Cloud access as well as hardware sales
CONS- Practical quantum advantage still unproven
- Prices not published
- Best for
- Research centres buying on-premise quantum computers
- Where it falls short
- Practical quantum advantage remains unproven for current use cases.
- Pick something else if
- you need proven practical quantum advantage today.
86.9
10
Superconducting quantum processors
Rigetti Computing, based in Berkeley, California, builds superconducting quantum processors and sells Novera, a 9-qubit processor, for on-premise use. It is listed on Nasdaq.
PROS- On-premise hardware for sale
- Long track record in superconducting chips
CONS- Smaller systems than rivals
- Price not published
- Best for
- Labs that want a small on-premise quantum processor
- Where it falls short
- It does not publish its price.
- Pick something else if
- you need transparent pricing.
85.6
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Frequently asked questions
What are the best Quantum Computing Companies?
IBM Quantum ranks first on Lister. IBM runs a fleet of superconducting quantum computers that customers use through the IBM Quantum Platform, programmed with its open-source Qiskit software. Its processors include Heron and Nighthawk.
What are the top 10 Quantum Computing Companies?
1. IBM Quantum; 2. Google Quantum AI; 3. Quantinuum; 4. IonQ; 5. PsiQuantum; 6. QuEra Computing; 7. D-Wave Quantum; 8. Atom Computing; 9. IQM Quantum Computers; 10. Rigetti Computing.
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