79 citations · 80 across the 6 of their papers we have counts for
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cond-mat.dis-nn2025★ 1 cited
Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems
Si-Jing Du, Ao Chen, Garnet Kin-Lic Chan
We describe a class of neuralized fermionic tensor network states (NN-fTNS) that introduce non-linearity into fermionic tensor networks through configuration-dependent neural netwo…
cond-mat.dis-nn2025
Convolutional transformer wave functions
Ao Chen, Vighnesh Dattatraya Naik, Markus Heyl
Deep neural quantum states have recently achieved remarkable performance in solving challenging quantum many-body problems. While transformer networks appear particularly promising…
cond-mat.dis-nn2023★ 79 cited
Empowering deep neural quantum states through efficient optimization
Ao Chen, Markus Heyl
Computing the ground state of interacting quantum matter is a long-standing challenge, especially for complex two-dimensional systems. Recent developments have highlighted the pote…