XOR problem

The XOR problem is a synthetic dataset used to evaluate the performance of machine learning models, particularly their ability to classify non-linearly separable data points.

Papers using XOR problem (2)

Comparing Classical And Quantum Variational Classifiers On The XOR Problem2026Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network2026