Scientists trained an AI model using an IBM quantum computer — and it answered questions correctly that the base model couldn't
Researchers have successfully trained an AI model using an IBM quantum computer, resulting in improved accuracy over traditional models. This study marks a significant advancement in the application of quantum computing to enhance artificial intelligence. The findings suggest that even a small increase in parameters can lead to notable reductions in perplexity, a key measure of AI performance.
- ▪IBM researchers demonstrated that AI trained with a quantum computer showed significant enhancement.
- ▪The study represents the first demonstration of quantum enhancement in a production-scale, pretrained large language model.
- ▪The researchers found that a small boost in parameters can significantly reduce perplexity when using quantum circuit blocks.
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Technology Computing Quantum Computing Scientists trained an AI model using an IBM quantum computer — and it answered questions correctly that the base model couldn't When running an AI model through a quantum computer, scientists have increased accuracy by only adding a relatively small number of parameters. By Tristan Greene published 25 May 2026 in News When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. IBM researchers found that AI trained with a quantum computer showed significant enhancement.
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