4 papers
Statistical mechanics in continuous space with tensor network methods
Gunhee Park, Tomislav BeguÅ¡iÄ, Si-Jing Du +2
Tensor network (TN) methods are well established for computing partition functions in statistical mechanics, though this use has traditionally been limited to lattice models. We ex…
Convergence of the Cumulant Expansion and Polynomial-Time Algorithm for Weakly Interacting Fermions
Hongrui Chen, Cambyse Rouzé, Jielun Chen +6
We propose a randomized algorithm to compute the log-partition function of weakly interacting fermions with polynomial runtime in both the system size and precision. Although weakl…
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…
A framework for robust quantum speedups in practical correlated electronic structure and dynamics
Jielun Chen, Garnet Kin-Lic Chan
Proposed quantum advantage in electronic structure has so far required significant fine-tuning to find problems where classical heuristics fail. We describe how to obtain robust qu…