Quantum Computing Roadmap: IBM vs Google vs IonQ vs PsiQuantum
Comparison of qubit counts, error rates, architectures, and milestones from the top 4 quantum hardware companies.
Key Highlights
- ✓ 4 leading quantum hardware companies compared
- ✓ Qubit count and error rate trajectories
- ✓ Architecture comparison (superconducting, trapped ion, photonic)
- ✓ Milestone timeline to quantum advantage
- ✓ Investment and partnership analysis
Overview
A comparative roadmap analysis of the four leading quantum computing hardware companies: IBM, Google, IonQ, and PsiQuantum. Tracks qubit counts, error rates, architecture choices, and key milestones.
What's Inside
Superconducting Qubits (IBM, Google)
IBM targets 100,000+ qubits by 2033 with modular architectures, while Google aims for a useful error-corrected quantum computer by 2029. We compare gate fidelities, connectivity, and the path from NISQ to fault tolerance.
Trapped Ion and Photonic (IonQ, PsiQuantum)
IonQ leverages all-to-all connectivity for algorithmic advantages, while PsiQuantum pursues photonic qubits with semiconductor manufacturing. We compare scalability roadmaps and the unique advantages of each modality.
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