What is a QLattice?
The QLattice is a supervised machine learning method for symbolic regression. It is a technology invented by Abzu and inspired by Richard Feynman’s path integral formulation. That’s why we’ve named our Python library Feyn, and the Q in QLattice is for Quantum.
The QLattice is similar to machine learning methods such as Random Forest, Gradient Boosting, and Deep Learning in that it creates predictive models from data.
Explainable and Interpretable
Less data needed
The QLattice enables AI-powered scientific discovery. Since the models are simple explanations, they can serve as a scientific hypothesis to be examined further.
Use the QLattice
An Approach to Symbolic Regression Using Feyn
Kevin René Broløs, Meera Vieira Machado, Chris Cave, Jaan Kasak, Valdemar Stentoft-Hansen, Victor Galindo Batanero, Tom Jelen, Casper Wilstrup
Symbolic regression outperforms other models for small data sets
Casper Wilstrup, Jaan Kasak
The first part with Casper Wilstrup and the road to coming up with a new kind of AI.
An in-depth intro to Abzu and our technology available today.