2 papers
quant-ph2025
QuGStep: Refining Step Size Selection in Gradient Estimation for Variational Quantum Algorithms
Senwei Liang, Linghua Zhu, Xiaosong Li +1
Variational quantum algorithms (VQAs) offer a promising approach to solving computationally demanding problems by combining parameterized quantum circuits with classical optimizati…
quant-ph2025
Exploring the Nexus of Many-Body Theories through Neural Network Techniques: the Tangent Model
Senwei Liang, Karol Kowalski, Chao Yang +1
In this paper, we present a physically informed neural network representation of the effective interactions associated with coupled-cluster downfolding models to describe chemical…