Quantum Kolmogorov-Arnold networks by combining quantum signal processing circuits

TL;DR

This paper introduces a method to implement Kolmogorov-Arnold networks on quantum computers by layering quantum signal processing circuits, enabling new applications in quantum computing.

Contribution

It demonstrates that KAN can be realized on quantum hardware through layered quantum signal processing circuits, offering a robust approach.

Findings

KAN implementation on quantum computers is feasible using layered circuits

The approach enhances robustness of quantum KAN applications

Provides a scalable method for quantum neural network design

Abstract

In this paper, we show that an equivalent implementation of KAN can be done on quantum computers by simply combining quantum signal processing circuits in layers. This provides a powerful and robust path for the applications of KAN on quantum computers.