3 papers
quant-ph2026
Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
H. L. Dao
In this work, we introduce the first type of non-Euclidean neural quantum state (NQS) ansatz, in the form of the hyperbolic GRU (a variant of recurrent neural networks (RNNs)), to…
quant-ph2025
Exploring new variational quantum circuit ansatzes for solving matrix models
H. L. Dao
In this work, we explored and experimented with new forms of parameterized quantum circuits to be used as variational ansatzes for solving the bosonic and supersymmetric ma…
hep-th2024
Deep Learning Calabi-Yau four folds with hybrid and recurrent neural network architectures
H. L. Dao
In this work, we report the results of applying deep learning based on hybrid convolutional-recurrent and purely recurrent neural network architectures to the dataset of almost one…