activity
20172026
most citedSolving parametric PDE problems with artificial neural networks

195 citations · 196 across the 13 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

quant-ph2025

Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State

Xun Tang, Haoxuan Chen, Yuehaw Khoo +1

We introduce Sketch Tomography, an efficient procedure for quantum state tomography based on the classical shadow protocol used for quantum observable estimations. The procedure ap…

math.OC2025

An efficient algorithm for entropic optimal transport under martingale-type constraints

Xun Tang, Michael Shavlovsky, Holakou Rahmanian +2

This work introduces novel computational methods for entropic optimal transport (OT) problems under martingale-type conditions. The considered problems include the discrete marting…

math.NA2025

Variational inference and density estimation with non-negative tensor train

Xun Tang, Rajat Dwaraknath, Lexing Ying

This work proposes an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings…

math.PR2025

On a spherically lifted spin model at finite temperature

Xun Tang, Yuehaw Khoo, Lexing Ying

We investigate an \(n\)-vector model over \(k\) sites with generic pairwise interactions and spherical constraints. The model is a lifting of the Ising model whereby the support of…

math.NA2025

Initialization and training of matrix product state probabilistic models

Xun Tang, Yuehaw Khoo, Lexing Ying

Modeling probability distributions via the wave function of a quantum state is central to quantum-inspired generative modeling and quantum state tomography (QST). We investigate a…

math.NA2025

Solving the Fokker-Planck equation of discretized Dean-Kawasaki models with functional hierarchical tensor

Xun Tang, Lexing Ying

We introduce a novel numerical scheme for solving the Fokker-Planck equation of discretized Dean-Kawasaki models with a functional tensor network ansatz. The Dean-Kawasaki model de…

math.NA2025

Wavelet-based density sketching with functional hierarchical tensor

Xun Tang, Lexing Ying

We introduce the functional hierarchical tensor under a wavelet basis (FHT-W) ansatz for high-dimensional density estimation in lattice models. Recently, the functional tensor netw…

math.NA2025

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors

Nan Sheng, Xun Tang, Haoxuan Chen +1

The numerical representation of high-dimensional Gibbs distributions is challenging due to the curse of dimensionality manifesting through the intractable normalization constant ca…