An Efficient Algorithmic Way to Construct Boltzmann Machine Representations for Arbitrary Stabilizer Code

Restricted Boltzmann machines (RBMs) have demonstrated considerable success as variational quantum states; however, their representational power remains incompletely understood. In this work, we present an analytical proof that RBMs can exactly and efficiently represent stabilizer code states—a clas...

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Bibliographic Details

Published in:	Entropy
Main Authors:	Yuan-Hang Zhang, Zhian Jia, Yu-Chun Wu, Guang-Can Guo
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	neural network quantum state quantum stabilizer code restricted Boltzmann machine
Online Access:	https://www.mdpi.com/1099-4300/27/6/627