IBM vs Google vs IonQ: Three Approaches to Quantum Computing Compared
The short comparison
| IBM | Google Quantum AI | IonQ | |
|---|---|---|---|
| Qubit type | Superconducting circuits | Superconducting circuits | Trapped ions |
| Control | Microwave pulses | Microwave pulses | Lasers on individual ions |
| Environment | Cooled near absolute zero | Cooled near absolute zero | Ions held in an electromagnetic trap |
| Headline public claim | Target of IBM Quantum Starling by 2029: 200 logical qubits and 100 million gates | 105 qubit Willow chip with error correction that improves as the code grows (December 2024) | Systems built on ytterbium or barium ions, with any pair of qubits able to interact in a trap |
| Status of the claim | A roadmap target, not a delivered machine | A published, peer reviewed result | Described on the company's own pages |
What are superconducting qubits?
IBM and Google both build qubits from tiny superconducting circuits on a chip, cooled to temperatures near absolute zero in a dilution refrigerator. Operations take very little time, and chips can be made with methods related to the semiconductor industry. The qubits are fixed on the chip and connect to near neighbours, so moving information across the chip costs extra operations. See superconducting qubits explained and how quantum computers are cooled.
IBM published a roadmap in June 2025 targeting IBM Quantum Starling by 2029, a fault tolerant machine able to run circuits of 100 million gates on 200 logical qubits, to be built at its Poughkeepsie, New York site (IBM Quantum blog). That is a plan. See the IBM roadmap guide. Google announced Willow, a 105 qubit chip, in December 2024 and reported error correction where errors fell as the code grew, called below threshold (Google blog and Nature). Google also said Willow performed a benchmark computation in under five minutes that it says would take a supercomputer 10 septillion years, which is a company claim about a task designed to be hard for classical computers, not a useful application. See Google Quantum AI.
What are trapped ion qubits?
IonQ's machines hold individual ions in an electromagnetic trap and use lasers to perform operations and measurements. Because the ions can interact through shared motion in the trap, any qubit can be connected to any other within a trap, which avoids some of the rerouting that fixed chip layouts need. Trapped ion gates are generally slower than superconducting ones, and putting very many ions in one trap is a scaling challenge, so designs link multiple traps. See IonQ, Microsoft, PsiQuantum and the rest and IonQ and electronic qubit control.
How do the trade offs compare?
- Speed. Superconducting operations are generally faster, which matters for long programs and error correction cycles.
- Connectivity. Trapped ions offer richer direct connections between qubits, which can mean fewer operations per algorithm.
- Manufacturing and scale. Superconducting chips borrow chip making methods. Ion machines need precise optics and traps and multiple linked modules at scale.
- Error rates. Both are improving. Fidelity numbers come from the companies and from papers, are measured differently and should be compared only like for like.
- Cooling. Superconducting machines need dilution refrigerators. Ion machines use vacuum chambers and laser cooling.
Who will win?
Nobody knows. Neutral atoms, photonics and silicon spins are also in the race, and the answer may differ by application. Compare more in types of quantum computers and see the companies map. This page does not recommend any company or stock. See quantum computing stocks explained.
Does this affect QNT?
No. QUANTUM (QNT) is a community token on Solana with a quantum theme, no partnership with IBM, Google or IonQ, and no quantum hardware.
Sources and further reading
- IBM Quantum blog: large scale fault tolerant quantum computing (10 June 2025)
- Google: Meet Willow, our state-of-the-art quantum chip
- Nature: Quantum error correction below the surface code threshold
- IonQ: quantum systems (trapped ion hardware)
- Preskill: Quantum Computing in the NISQ era and beyond (arXiv)
- Wikipedia: trapped ion quantum computer
- Wikipedia: transmon
Checked 2026-10-12. Company claims are the companies' own and roadmaps are plans, so check the primary sources. This is education, not investment or security advice. QUANTUM (QNT) is an independent community token on Solana and is not affiliated with Quantinuum (Nasdaq: QNT) or Quant Network (QNT on Ethereum).
Frequently asked questions
What is the difference between IBM, Google and IonQ quantum computers?
IBM and Google use superconducting circuits controlled by microwaves. IonQ uses individual trapped ions controlled by lasers.
Which quantum computing approach is best?
No approach has clearly won. Each trades off speed, connectivity, error rates and scaling.
Is IBM's 2029 target a real machine?
No. It is a published roadmap target for a fault tolerant machine with 200 logical qubits. Plans can change.
Is QNT connected to IBM, Google or IonQ?
No. QUANTUM (QNT) has no partnership with any of them.
Next read
Types of Quantum Computers: Superconducting, Ion, Photonic and MoreA guide to the main ways quantum computers are built, with the strengths and trade-offs of each approach.Read nextAlso useful: IBM's Quantum Roadmap: From Nighthawk to Starling in 2029 | Superconducting Qubits Explained in Depth | Alphabet and Google Quantum AI: The Software, the Roadmap and the Spin-Out
Educational content, not financial advice. QUANTUM (QNT) is independent of Quantinuum (Nasdaq: QNT) and Quant Network (QNT on Ethereum). Live chart | Token facts