Density-functional theory (DFT) has revolutionized computer simulations ...
In this paper, we present efficient quantum algorithms that are exponent...
Quantum speedup for mixing a Markov chain can be achieved based on the
c...
We develop a new formulation of deep learning based on the Mori-Zwanzig ...
In this paper, we introduce a data-driven modeling approach for dynamics...
Non-convex loss functions arise frequently in modern machine learning, a...
This paper is concerned with the phase estimation algorithm in quantum
c...
The convergence property of a stochastic algorithm for the self-consiste...
Long-range interactions play a central role in electron transport. At th...
This paper studies the theoretical underpinnings of machine learning of
...
Fluid-structure interactions are central to many bio-molecular processes...
Time-dependent wave equations represent an important class of partial
di...
Random batch algorithms are constructed for quantum Monte Carlo simulati...
In the paper, we study the problem of estimating linear response statist...
Recently, we proposed a method to estimate parameters in stochastic dyna...