Confirmed: Fine-tuning AI on quantum processors is “much more energetically favorable.” That’s the conclusion drawn by Oliver Knitter and team, who did their research on an IonQ Forte quantum computer, not in a simulation environment. Oliver and team have laid down foundational knowledge in the field with these results. Their findings have important implications in this era of rapid AI growth, for global power grids and the enterprise costs when using AI. Read our full blog → #IonQ #QuantumIsNow #QuantumComputing ▻ ↧ IonQ Why Quantum Fine-Tuning is the Scalable Answer to AI's Power... IonQ research finds that quantum fine-tuning can deliver impressive energy efficiencies without sacrificing accuracy, especially needed for next-generation AI deployments.