7 papers
Tensor network dynamical message passing for epidemic models
Cheng Ye, Zi-Song Shen, Pan Zhang
While epidemiological modeling is pivotal for informing public health strategies, a fundamental trade-off limits its predictive fidelity: exact stochastic simulations are often com…
Schrödinger Operators, Integral Curvature, and the Euler Characteristic of Riemannian Manifolds
Teng Huang, Pan Zhang
We establish new connections between integral curvature bounds and the Euler characteristic of closed Riemannian manifolds through the perspective of Schrödinger-type operators. C…
Dissipation-induced Half Quantized Conductance in One-dimensional Topological Systems
Bozhen Zhou, Pan Zhang, Yucheng Wang +1
Quantized conductance from topologically protected edge states is a hallmark of two-dimensional topological phases. In contrast, edge states in one-dimensional (1D) topological sys…
Correcting a noisy quantum computer using a quantum computer
Pan Zhang
Quantum computers require error correction to achieve universal quantum computing. However, current decoding of quantum error-correcting codes relies on classical computation, whic…
Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states
Shuai-Tin. Bao, Dian Wu, Pan Zhang +1
The exploration of neural network quantum states has become widespread in the studies of complicated quantum many-body systems. However, achieving high precision remains challengin…
Tensor network Monte Carlo simulations for the two-dimensional random-bond Ising model
Tao Chen, Erdong Guo, Wanzhou Zhang +2
Disordered lattice spin systems are crucial in both theoretical and applied physics. However, understanding their properties poses significant challenges for Monte Carlo simulation…