Quantinuum introduces Machine learning models for large-scale QNLP

QNLP and how it might intersect with Generative AI

Hey Everyone,

I want to dabble in some recent research and product map launches.

Quantinuum is a quantum computing company formed by the merger of Cambridge Quantum and Honeywell Quantum Solutions. In many ways they are among the leaders in Quantum computing innovation.

It’s always amusing to see how brands even define what Quantum computing is:

I’m fairly curious how Quantum computing and Generative AI are going to meet and intersect. Recently on January 11th, 2024 Quantinuum announced some research that is possibly related.

🌌 Quantum Natural Language Processing

For the first time, Quantinuum researchers have run scalable quantum natural language processing (QNLP) models, able to parse and process real-world data, on a quantum computer. In a recent paper, the researchers define machine learning models for the task of classifying sequences – which can be anything from sentences in natural language, like movie reviews, to bioinformatic strings, like DNA sequences.

This paper shows us that we can run, train, and deploy QNLP models on present-day quantum computers.

This paper shows us that we can run, train, and deploy QNLP models on present-day quantum computers. When compared to neural-network-based classifiers, the quantum model does just as well on this task in terms of prediction accuracy.

So how might fault-tolerant Quantum computing in the future impact Machine learning?

• More below also on QuEra’s Quantum product timeline.