24 citations · 37 across the 5 of their papers we have counts for
5 papers
Entanglement scaling and criticality of infinite-size quantum many-body systems in continuous space addressed by a tensor network approach
Rui Hong, Hao-Wei Cui, An-Chun Ji +1
Simulating strongly-correlated quantum systems in continuous space belongs to the most challenging and long-concerned issues in quantum physics. This work investigates the quantum…
Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures
Anastasis Kratsios, Ruiyang Hong, Haitz Sáez de Ocáriz Borde
We study the representation capacity of deep hyperbolic neural networks (HNNs) with a ReLU activation function. We establish the first proof that HNNs can -isometrical…
Functional Tensor Network Solving Many-body Schrödinger Equation
Rui Hong, Ya-Xuan Xiao, Jie Hu +2
Schrödinger equation belongs to the most fundamental differential equations in quantum physics. However, the exact solutions are extremely rare, and many analytical methods are app…
Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
Rui Hong, Peng-Fei Zhou, Bin Xi +3
The hybridizations of machine learning and quantum physics have caused essential impacts to the methodology in both fields. Inspired by quantum potential neural network, we here pr…
Automatically Differentiable Quantum Circuit for Many-qubit State Preparation
Peng-Fei Zhou, Rui Hong, Shi-Ju Ran
Constructing quantum circuits for efficient state preparation belongs to the central topics in the field of quantum information and computation. As the number of qubits grows fast,…