Mingpu Qin

Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions

The recent development of Neural Quantum States (NQS) has established them as one of the most accurate methods for studying strongly correlated many-fermion systems, outperforming existing many-body approaches for large systems. However, NQS calculations are currently highly reso...

Clifford Disentanglers for Entanglement Reduction in Molecular Electronic Structure Simulations

Abstract Entanglement is a key bottleneck limiting the efficiency of tensor-network and quantum simulations of molecular electronic structure. Here, we systematically assess and extend Clifford disentanglers as a structure-preserving approach to entanglement reduction: they can m...