Neural-network Generated Quantum State Can Mitigate the Barren Plateau in Variational Quantum Circuits

TL;DR

This paper demonstrates that neural-network generated quantum states can significantly reduce the barren plateau problem in variational quantum circuits, improving the efficiency of quantum algorithms.

Contribution

It introduces a novel approach of using neural networks to generate quantum states, mitigating barren plateaus in variational quantum algorithms.

Findings

Neural-network generated states reduce barren plateau effects.

Improved trainability of variational quantum circuits.

Potential for more efficient quantum algorithms.

Abstract

We find that using neural networks to generate quantum states can effectively alleviate the barren plateau phenomenon present in random variational quantum circuits.