Quantum breakthroughs. Beyond the headlines.

First edition · November 2026 · Rankings updated monthly Data: QubitBenchmark release 2026-11.1
Leaders
Most accurate: Helios (Quantinuum) · not ranked last month Error-corrected qubits: Helios (Quantinuum) · not ranked last month Most qubits: Ytterbium atom array (Atom Computing) · not ranked last month Fastest: Nighthawk r2 (IBM) · not ranked last month Use it today: Nighthawk r2 (IBM) · not ranked last month

Home › Compare › Google vs Quantinuum

Head to head

Google vs Quantinuum

Willow against Helios: two of the most talked-about machines, built on very different technologies. Quantinuum leads on accuracy and you can buy time on it; Google leads on landmark experiments and speed. Some of their numbers can't be fairly compared.

QubitRank Desk · · Rankings from QubitBenchmark release 2026-11.1

Can they be compared? Only partly. Google uses superconducting qubits; Quantinuum uses trapped ions. Accuracy and error-correction results can be compared with care. Speed can't: superconducting chips run operations far faster, while trapped ions are slower but more accurate and let any qubit talk to any other.

Side by side

TopicGoogle Quantum AIQuantinuum
ApproachSuperconducting, Neutral atomTrapped ion
Most accurate #3 Willow #1 Helios
Error-corrected qubits Not ranked #1 Helios
Most qubits #3 Willow #5 Helios
Fastest Not ranked Not ranked
Use it today Not ranked #2 Helios
Latest machineWillow (105 qubits, 2024)Helios (98 qubits, launched November 2025)
Can you use it?No public access; selected research groups onlyYes: Quantinuum's cloud, or installed on site
Strongest published resultError correction below the surface-code threshold (Nature, 2024); "Quantum Echoes" (Nature, 2025)99.921% two-qubit accuracy across all 98 qubits; 48 error-corrected logical qubits (company-reported, 2025)
Next big promiseA long-lived logical qubit; commercially relevant machines by the end of the decadeSol (up to 100 logical qubits) in 2027; Apollo (fully fault-tolerant) in 2029

How they differ

Google's Willow is a superconducting chip: tiny circuits cooled to near absolute zero. Operations are very fast, but each qubit can only talk directly to its neighbours. Quantinuum's Helios uses trapped ions, single charged atoms held in a vacuum. Operations are much slower, but very accurate, and any qubit can interact with any other.

That's why a straight "which is better?" doesn't work. On speed, Google wins by design. On accuracy across a whole machine, Quantinuum's published numbers are the best in the field.

Who's ahead

Look at the races in the table above, not a single verdict. For a business, the biggest practical difference is access: Quantinuum sells time on Helios, while Willow isn't available outside Google and a few research partners. For science, Google's two Nature papers are among the most important results of recent years, and our Reality Check on Quantum Echoes explains what the second one does and doesn't show.

Bottom line: If you want the most accurate machine you can actually use today, it's Quantinuum. If you want the most significant peer-reviewed physics results, it's Google. They're racing towards the same goal on different tracks.

Sources

  1. Meet Willow, our state-of-the-art quantum chip, Google blog, 9 December 2024
  2. Observation of constructive interference at the edge of quantum ergodicity, Nature, DOI 10.1038/s41586-025-09526-6
  3. Google expands into neutral-atom quantum computers, Google blog
  4. Quantinuum announces commercial launch of new Helios quantum computer, Quantinuum, 5 November 2025
  5. Quantinuum reports second quarter 2026 results, Quantinuum
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