Google Research announced its Quantum Echoes algorithm achieved up to 13,000× speedups over classical methods on specific simulation tasks using its Sycamore chip. Researchers said the approach enhances noise resilience and can optimize molecular and materials modeling. While benchmarks remain experimental, the company framed it as evidence of quantum utility beyond lab proof-of-concepts. Independent verification and scaling tests are pending. Analysts described it as a credibility step for Google’s quantum roadmap, part of its long-term AI-infrastructure investment. Competitors IBM and Rigetti plan similar announcements as quantum research races toward commercial relevance.