Infleqtion achieved 30 entangled logical qubits using 80 neutral atoms with an 8:3 physical-to-logical ratio. AI-discovered gates reduced overhead by 50%, while IQP benchmarks achieved 1,000× signal-to-noise improvement over baseline.

Infleqtion achieved 30 entangled logical qubits using 80 neutral atoms with an 8:3 physical-to-logical ratio. AI-discovered gates reduced overhead by 50%, while IQP benchmarks achieved 1,000× signal-to-noise improvement over baseline.
Infleqtion achieves 30 logical qubits on neutral atom QPU using 80 physical qubits with 8:3 overhead ratio. AI-discovered entangling gate reduces gate cost by 50%, enabling multi-qubit operations with ~25% circuit fidelity above noise baseline.
Microsoft Quantum and QOLAB introduce 'scalable logical qubit' framework, proposing new benchmarking criteria beyond raw qubit counts for evaluating quantum computing progress.
Infleqtion achieved ~6 physical qubits per logical qubit—a 5x improvement over surface codes—by integrating qLDPC library with NVIDIA's CUDA-Q Logical platform, advancing toward practical fault-tolerant quantum computing.
IQM deploying logical-qubit quantum computer in Finland starting 2027, scaling from 150 physical qubits to 9 logical qubits by 2029. Hybrid HPC-AI-quantum platform positioned to advance European quantum research and real-world applications.
IQM Quantum Computers to deploy a logical-qubit system at LUMI, integrating quantum computing with Europe's leading AI supercomputing infrastructure for hybrid quantum-classical workloads.
IQM's phased LUMI-IQ deployment (2027-2029) integrates logical qubits into Europe's hybrid computing platform, combining superconducting quantum systems with HPC and AI to advance fault-tolerant quantum computing.