Tag: Google Quantum AI

Alice & Bob has published a whitepaper defining five criteria to benchmark logical qubit claims. The framework provides a modality-agnostic way to evaluate demonstrations of quantum error correction for fault-tolerant quantum computing. Key requirements include achieving breakeven with physical qubits, using scalable code parameters, running sufficient QEC cycles, measuring performance across all runs without post-selection, and operating on utility-relevant timescales. This structured approach enables consistent comparisons across hardware modalities and aligns claims with practical FTQC needs.