5 papers
Vectorized Symmetric and Fermionic Tensor Network Implementations for GPU-Accelerated Variational Monte Carlo
Si-Jing Du, Johnnie Gray, Ao Chen +1
Variational Monte Carlo (VMC) calculations based on tensor networks (TN) have recently achieved competitive accuracy in ground-state calculations of strongly correlated spin and fe…
Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
Yinzhanghao Zhou, Tsung-Han Lee, Ao Chen +2
Neural quantum states (NQS) have emerged as a promising approach to solve second-quantized Hamiltonians, because of their scalability and flexibility. In this work, we design and b…
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…
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…
Learning effective Hamiltonians for adaptive time-evolution quantum algorithms
Hongzheng Zhao, Ao Chen, Shu-Wei Liu +3
Digital quantum simulation of many-body dynamics relies on Trotterization to decompose the target time evolution into elementary quantum gates operating at a fixed equidistant time…