177 citations · 720 across the 22 of their papers we have counts for
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Infinite Neural Network Quantum States: Entanglement and Training Dynamics
Di Luo, James Halverson
We study infinite limits of neural network quantum states (-NNQS), which exhibit representation power through ensemble statistics, and also tractable gradient descent dynam…
Classical Shadows for Quantum Process Tomography on Near-term Quantum Computers
Ryan Levy, Di Luo, Bryan K. Clark
Quantum process tomography is a powerful tool for understanding quantum channels and characterizing properties of quantum devices. Inspired by recent advances using classical shado…
Spacetime Neural Network for High Dimensional Quantum Dynamics
Jiangran Wang, Zhuo Chen, Di Luo +3
We develop a spacetime neural network method with second order optimization for solving quantum dynamics from the high dimensional Schrödinger equation. In contrast to the standard…
Simulating Quantum Mechanics with a -term and an 't Hooft Anomaly on a Synthetic Dimension
Jiayu Shen, Di Luo, Chenxi Huang +4
A topological -term in gauge theories, including quantum chromodynamics in 3+1 dimensions, gives rise to a sign problem that makes classical Monte Carlo simulations impractical.…
Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models
Di Luo, Zhuo Chen, Kaiwen Hu +3
Symmetries such as gauge invariance and anyonic symmetry play a crucial role in quantum many-body physics. We develop a general approach to constructing gauge invariant or anyonic…