IonQ (IONQ) Status Update summary

Strategic acquisitions and technology integration

• Announced intent to acquire Oxford Ionics for $1.075 billion, mainly in shares, and completed acquisition of Lightsynq to accelerate the quantum computing roadmap, with the Oxford deal expected to close in 2025.

• Oxford Ionics brings integrated all-electronic qubit control and scalable chip manufacturing, while Lightsynq's photonic interconnects and quantum memory boost entanglement rates up to 50x.

• Combined technologies enable seamless integration and interoperability, leveraging standard semiconductor and fiber optic infrastructure.

• Scientific leadership strengthened with key hires from both acquired companies, with Oxford Ionics' founders and team joining and plans to expand the Oxford workforce.

• The deal strengthens US-UK cooperation in quantum technology and positions Oxford as a global R&D hub.

Roadmap and performance milestones

• Projecting 10,000 physical qubits on a single chip by 2027, 20,000 interconnected by 2028, and 2 million physical qubits with up to 80,000 logical qubits by 2030.

• Logical gate accuracy projected at 99.9999999999% and logical error rates below 1.00E-12 by 2030.

• Achieved industry-leading two-qubit gate fidelity of 99.99%, reducing error correction overhead.

• Transitioning roadmap metrics from AQ to explicit physical and logical qubit counts.

• Manufacturing leverages off-the-shelf technology, avoiding exotic materials or extreme cooling.

Technology strategy and architecture

• Modular, scalable trapped ion platform with photonically interconnected qubit parcels and high connectivity.

• Oxford Ionics' repeatable cell unit and electronic qubit control allow high-yield, low-variability scaling without performance loss.

• Lightsynq's memory-enhanced photonic interconnects demonstrated >50x speedup in real-world quantum networks.

• Integrated electronic control and photonic interconnects allow for rapid, cost-effective scaling to millions of qubits.

• Design supports both current and future error correction methods, ensuring long-term adaptability.