6 papers
SMT-AD: a scalable quantum-inspired anomaly detection approach
Apimuk Sornsaeng, Si Min Chan, Wenxuan Zhang +4
Quantum-inspired tensor networks algorithms have shown to be effective and efficient models for machine learning tasks, including anomaly detection. Here, we propose a highly paral…
Dependence of Lindbladian spectral statistics on the integrability of no-jump Hamiltonians and the recycling terms
Dingzu Wang, Hao Zhu, Guo-Feng Zhang +1
Spectral statistics probe integrability versus chaos and have recently been extended to Markovian open quantum systems described by Lindbladians, whose quantum-trajectory unravelin…
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…
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…
Ergodicity and hydrodynamics: from quantum to classical spin systems
Jiaozi Wang, Luca Capizzi, Dario Poletti +1
We show that in classical spin systems the precise nature of the late-time hydrodynamic tails of the autocorrelation functions of a generic observable is determined by (i) the dyna…
Hydrodynamics and the eigenstate thermalization hypothesis
Luca Capizzi, Jiaozi Wang, Xiansong Xu +2
The eigenstate thermalization hypothesis (ETH) describes the properties of diagonal and off-diagonal matrix elements of local operators in the eigenenergy basis. In this work, we p…