activity
20222026
most citedGround state search by local and sequential updates of neural network quantum states

15 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026★ 8 cited

Quantum Charging Advantage in Superconducting Solid-State Batteries

Chang-Kang Hu, Chilong Liu, Jingchao Zhao +20

Quantum battery, as a novel energy storage device, offers the potential for unprecedented efficiency and performance beyond the capabilities of classical systems, with broad implic…

quant-ph2026

Concentrated Monte Carlo sampling for local observables in quantum spin chains

Wenxuan Zhang, Dingzu Wang, Dario Poletti

Monte Carlo methods are widely used to estimate observables in many-body quantum systems. However, conventional sampling schemes often require a large number of samples to achieve…

quant-ph2025

Continuous-time parametrization of neural quantum states for quantum dynamics

Dingzu Wang, Wenxuan Zhang, Xiansong Xu +1

Neural quantum states are a promising framework for simulating many-body quantum dynamics, as they can represent states with volume-law entanglement. As time evolves, the neural ne…

quant-ph2024

Paths towards time evolution with larger neural-network quantum states

Wenxuan Zhang, Bo Xing, Xiansong Xu +1

In recent years, the neural-network quantum states method has been investigated to study the ground state and the time evolution of many-body quantum systems. Here we expand on the…

quant-ph2022★ 15 cited

Ground state search by local and sequential updates of neural network quantum states

Wenxuan Zhang, Xiansong Xu, Zheyu Wu +2

Neural network quantum states are a promising tool to analyze complex quantum systems given their representative power. It can however be difficult to optimize efficiently and effe…