Simulating dynamics of the two-dimensional transverse-field Ising model: a comparative study of large-scale classical numerics
- URL: http://arxiv.org/abs/2511.19340v1
- Date: Mon, 24 Nov 2025 17:39:29 GMT
- Title: Simulating dynamics of the two-dimensional transverse-field Ising model: a comparative study of large-scale classical numerics
- Authors: Joseph Vovrosh, Sergi Julià-Farré, Wladislaw Krinitsin, Michael Kaicher, Fergus Hayes, Emmanuel Gottlob, Augustine Kshetrimayum, Kemal Bidzhiev, Simon B. Jäger, Markus Schmitt, Joseph Tindall, Constantin Dalyac, Tiago Mendes-Santos, Alexandre Dauphin,
- Abstract summary: We employ a comprehensive toolbox of state-of-the-art numerical approaches to classically simulate the dynamics of the two-dimensional transverse field Ising model.<n>Our work connects classical simulability to different regimes associated with quantum dynamics in Rydberg arrays.
- Score: 28.13921029707672
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The quantum dynamics of many-qubit systems is an outstanding problem that has recently driven significant advances in both numerical methods and programmable quantum processing units. In this work, we employ a comprehensive toolbox of state-of-the-art numerical approaches to classically simulate the dynamics of the two-dimensional transverse field Ising model. Our methods include three different tensor network techniques -- matrix product states, tree-tensor networks, and two-dimensional tensor-networks under the belief propagation approximation -- as well as time-dependent variational Monte Carlo with Neural Quantum States. We focus on two paradigmatic dynamical protocols: (i) quantum annealing through a critical point and (ii) post-quench dynamics. Our extensive results show the quantitative predictions of various state-of-the-art numerical methods providing a benchmark for future numerical investigations and experimental studies with the aim to push the limitations on classical and QPUs. In particular, our work connects classical simulability to different regimes associated with quantum dynamics in Rydberg arrays - namely, quasi-adiabatic dynamics, the Kibble-Zurek mechanism, and quantum quenches.
Related papers
- Forecasting Low-Dimensional Turbulence via Multi-Dimensional Hybrid Quantum Reservoir Computing [0.0]
We introduce a hybrid quantum-classical reservoir architecture capable of handling multivariate time series through quantum evolution combined with classical memory enhancement.<n>We apply this framework to two paradigmatic models of chaotic behavior in fluid dynamics, where multiscale dynamics and nonlinearities play a dominant role.<n>The robustness observed and reliable performances for both dynamical systems suggest that this hybrid quantum approach offers a flexible platform for modelling complex nonlinear time series.
arXiv Detail & Related papers (2025-09-04T08:37:48Z) - Dynamics of disordered quantum systems with two- and three-dimensional tensor networks [0.0]
We show how two- and three-dimensional tensor networks can accurately and efficiently simulate the quantum annealing dynamics of Ising spin glasses.<n>We exploit the scalability of our simulations and simulate a system of over $300$ qubits.
arXiv Detail & Related papers (2025-03-07T18:58:03Z) - Time-dependent Neural Galerkin Method for Quantum Dynamics [39.63609604649394]
We introduce a classical computational method for quantum dynamics that relies on a global-in-time variational principle.<n>Our scheme computes the entire state trajectory over a finite time window by minimizing a loss function that enforces the Schr"odinger's equation.<n>We showcase the method by simulating global quantum quenches in the paradigmatic Transverse-Field Ising model in both 1D and 2D.
arXiv Detail & Related papers (2024-12-16T13:48:54Z) - Efficiency of Dynamical Decoupling for (Almost) Any Spin-Boson Model [44.99833362998488]
We analytically study the dynamical decoupling of a two-level system coupled with a structured bosonic environment.<n>We find sufficient conditions under which dynamical decoupling works for such systems.<n>Our bounds reproduce the correct scaling in various relevant system parameters.
arXiv Detail & Related papers (2024-09-24T04:58:28Z) - Hamiltonian truncation tensor networks for quantum field theories [42.2225785045544]
We introduce a tensor network method for the classical simulation of continuous quantum field theories.
The method is built on Hamiltonian truncation and tensor network techniques.
One of the key developments is the exact construction of matrix product state representations of global projectors.
arXiv Detail & Related papers (2023-12-19T19:00:02Z) - The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for
Deep Quantum Machine Learning [52.77024349608834]
Building a quantum analog of classical deep neural networks represents a fundamental challenge in quantum computing.
Key issue is how to address the inherent non-linearity of classical deep learning.
We introduce the Quantum Path Kernel, a formulation of quantum machine learning capable of replicating those aspects of deep machine learning.
arXiv Detail & Related papers (2022-12-22T16:06:24Z) - Dynamics with autoregressive neural quantum states: application to
critical quench dynamics [41.94295877935867]
We present an alternative general scheme that enables one to capture long-time dynamics of quantum systems in a stable fashion.
We apply the scheme to time-dependent quench dynamics by investigating the Kibble-Zurek mechanism in the two-dimensional quantum Ising model.
arXiv Detail & Related papers (2022-09-07T15:50:00Z) - Tensor-network study of correlation-spreading dynamics in the
two-dimensional Bose-Hubbard model [0.0]
We demonstrate that a tensor-network method running on classical computers is useful for this purpose.
We specifically analyze real-time dynamics of the two-dimensional Bose-Hubbard model after a sudden quench.
By estimating the phase and group velocities from the single-particle and density-density correlation functions, we predict how these velocities vary in the moderate interaction region.
arXiv Detail & Related papers (2021-08-25T05:37:16Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z) - Variational classical networks for dynamics in interacting quantum
matter [0.0]
We introduce a variational class of wavefunctions based on complex networks of classical spins akin to artificial neural networks.
We show that our method can be applied to any quantum many-body system with a well-defined classical limit.
arXiv Detail & Related papers (2020-07-31T14:03:37Z) - Quantum Non-equilibrium Many-Body Spin-Photon Systems [91.3755431537592]
dissertation concerns the quantum dynamics of strongly-correlated quantum systems in out-of-equilibrium states.
Our main results can be summarized in three parts: Signature of Critical Dynamics, Driven Dicke Model as a Test-bed of Ultra-Strong Coupling, and Beyond the Kibble-Zurek Mechanism.
arXiv Detail & Related papers (2020-07-23T19:05:56Z) - Time-series and network analysis in quantum dynamics: Comparison with
classical dynamics [0.0]
Time-series analysis and network analysis are now used extensively in diverse areas of science.
We apply these techniques to quantum dynamics in an optomechanical system.
arXiv Detail & Related papers (2020-05-04T04:34:54Z) - Studying dynamics in two-dimensional quantum lattices using tree tensor
network states [0.0]
We analyze and discuss convergence properties of a numerically exact algorithm tailored to study the dynamics of interacting two-dimensional lattice systems.
We discuss issues related to the convergence of the method, which could be relevant to a broader set of numerical techniques used for the study of two-dimensional systems.
arXiv Detail & Related papers (2020-03-19T18:00:00Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.