IBM and Google are the two largest corporate quantum computing programs in the world, both using superconducting transmon qubits but pursuing fundamentally different strategies. IBM prioritizes scale and cloud accessibility, deploying over 100 quantum systems and targeting 100,000+ qubits by 2033. Google prioritizes error correction quality, achieving the landmark below-threshold error correction milestone with its 105-qubit Willow processor in December 2024. This page compares every dimension: qubit count, fidelity, error correction, cloud access, software ecosystems, roadmaps, and which company is truly ahead.
| Metric | IBM Quantum | Google Quantum AI |
|---|---|---|
| Largest Processor | Condor (1,121 qubits) | Willow (105 qubits) |
| Current Workhorse | Heron (156 qubits, improved fidelity) | Willow (105 qubits) |
| Approach | Superconducting transmon | Superconducting transmon |
| Best Two-Qubit Fidelity | ~99.5% (Heron) | ~99.7% (Willow) |
| Error Correction Milestone | Demonstrated surface codes, not below-threshold | Below-threshold error correction (Dec 2024) |
| Cloud Platform | IBM Quantum (100+ systems, Qiskit) | Google Cloud Quantum (limited access, Cirq) |
| Public Access | Broad (free + paid tiers) | Restricted (research + enterprise) |
| Software Framework | Qiskit (open-source, largest ecosystem) | Cirq (open-source) |
| Key Roadmap Target | 100,000+ qubits by 2033 | Useful error-corrected QC by 2029 |
| Quantum Volume (best) | 128 (Eagle) | Not published (different benchmark) |
| Total Investment | $1B+ (IBM Quantum Network) | Undisclosed (Google Quantum AI lab) |
| Key Advantage | Scale, cloud access, enterprise ecosystem | Error correction leadership, fidelity |
| Processor | Qubits | 2Q Fidelity | Coherence | Year | Status |
|---|---|---|---|---|---|
| Eagle | 127 | 99.0% | 100 µs | 2021 | commercial |
| Osprey | 433 | 99.0% | ~90 µs | 2022 | research |
| Condor | 1,121 | 98.5% | ~90 µs | 2023 | research |
| Heron r1 | 133 | 99.5% | 150 µs | 2023 | commercial |
| Heron r2 | 156 | 99.7% | 200 µs | 2024 | commercial |
| Flamingo | 462 | 99.5% | 200 µs | 2025 | prototype |
| Kookaburra | 1,386 | N/A | N/A | 2026 | research |
| Processor | Qubits | 2Q Fidelity | Coherence | Year | Status |
|---|
IBM wins on scale and accessibility. Google wins on error correction quality.
IBM has the more accessible quantum program with 100+ cloud systems, the largest software ecosystem (Qiskit), and a clear modular scaling roadmap. Google has demonstrated the more scientifically significant recent result with below-threshold error correction on Willow, which is arguably the more important milestone for the long-term future of quantum computing.
For enterprises wanting to experiment with quantum computing today, IBM is the practical choice. For the question of which company will build the first truly fault-tolerant quantum computer, Google's error correction lead gives it an edge. The race is far from over.