Gartner Predicts Enterprise AI Workloads at Scale Will Not Run on Quantum Hardware Through 2028
No enterprise AI workload at scale will run on quantum hardware by 2028 and classical accelerated AI will dominate every production benchmark according to Gartner, Inc., a business and technology insights company.
“When vendors claim to deliver ‘quantum AI,’ they usually refer to hybrid or quantum-inspired techniques, not quantum-native AI running at enterprise scale,” said Chirag Dekate, VP Analyst at Gartner. “True quantum computing is not ready for any production AI workload and will most likely not be for the rest of this decade. Furthermore, no peer-reviewed result demonstrates quantum advantage on production AI workload.”
“Quantum AI” refers to AI or machine learning (ML) techniques that require execution on quantum hardware to achieve a claimed performance, cost or capability advantage over classical computing.
“Achieving fault-tolerant quantum computing at the scale needed to deliver measurable AI performance or cost benefits requires advances in four areas: hardware,...
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