Dynamics with autoregressive neural quantum states: Application to critical quench dynamics
Despite very promising results, capturing the dynamics of complex quantum systems with
neural-network ansätze has been plagued by several problems, one of which is stochastic …
neural-network ansätze has been plagued by several problems, one of which is stochastic …
Scalable imaginary time evolution with neural network quantum states
E Ledinauskas, E Anisimovas - SciPost Physics, 2023 - scipost.org
The representation of a quantum wave function as a neural network quantum state (NQS)
provides a powerful variational ansatz for finding the ground states of many-body quantum …
provides a powerful variational ansatz for finding the ground states of many-body quantum …
Neural network quantum states analysis of the Shastry-Sutherland model
We utilize neural network quantum states (NQS) to investigate the ground state properties of
the Heisenberg model on a Shastry-Sutherland lattice using the variational Monte Carlo …
the Heisenberg model on a Shastry-Sutherland lattice using the variational Monte Carlo …
AdvNF: Reducing mode collapse in conditional normalising flows using adversarial learning
Deep generative models complement Markov-chain-Monte-Carlo methods for efficiently
sampling from high-dimensional distributions. Among these methods, explicit generators …
sampling from high-dimensional distributions. Among these methods, explicit generators …
Investigating quantum many-body systems with tensor networks, machine learning and quantum computers
K Kottmann - arXiv preprint arXiv:2210.11130, 2022 - arxiv.org
We perform quantum simulation on classical and quantum computers and set up a machine
learning framework in which we can map out phase diagrams of known and unknown …
learning framework in which we can map out phase diagrams of known and unknown …
Time-dependent variational Monte Carlo study of the dynamic response of bosons in an optical lattice
We study the dynamics of a one-dimensional Bose gas at unit filling in both shallow and
deep optical lattices and obtain the dynamic structure factor ${S (k,\omega)} $ by monitoring …
deep optical lattices and obtain the dynamic structure factor ${S (k,\omega)} $ by monitoring …