Exploiting emergent symmetries in disorder-averaged quantum dynamics
- URL: http://arxiv.org/abs/2507.09614v1
- Date: Sun, 13 Jul 2025 12:38:19 GMT
- Title: Exploiting emergent symmetries in disorder-averaged quantum dynamics
- Authors: Mirco Erpelding, Adrian Braemer, Martin Gärttner,
- Abstract summary: We develop schemes for efficiently constructing symmetric sectors of the disorder-averaged dynamical map.<n>After disorder averaging, this system becomes effectively permutation-invariant, allowing for the simulation of large system.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Symmetries are a key tool in understanding quantum systems, and, among many other things, can be exploited to increase the efficiency of numerical simulations of quantum dynamics. Disordered systems usually feature reduced symmetries and additionally require averaging over many realizations, making their numerical study computationally demanding. However, when studying quantities linear in the time-evolved state, i.e. expectation values of observables, one can apply the averaging procedure to the time evolution operator, resulting in an effective dynamical map, which restores symmetry at the level of super operators. In this work, we develop schemes for efficiently constructing symmetric sectors of the disorder-averaged dynamical map using short-time and weak-disorder expansions. To benchmark the method, we apply it to an Ising model with random all-to-all interactions in the presence of a transverse field. After disorder averaging, this system becomes effectively permutation-invariant, and thus the size of the symmetric subspace scales polynomially in the number of spins allowing for the simulation of large system.
Related papers
- Grassmann Variational Monte Carlo with neural wave functions [45.935798913942904]
We formalize the framework introduced by Pfau et al.citepfau2024accurate in terms of Grassmann geometry of the Hilbert space.<n>We validate our approach on the Heisenberg quantum spin model on the square lattice, achieving highly accurate energies and physical observables for a large number of excited states.
arXiv Detail & Related papers (2025-07-14T13:53:13Z) - Unification of Finite Symmetries in Simulation of Many-body Systems on Quantum Computers [2.755415305274264]
We present a framework for incorporating symmetry group transforms on quantum computers to simulate many-body systems.<n>The core of our approach lies in the development of efficient quantum circuits for symmetry-adapted projection.<n>Specifically, we execute a symmetry-adapted quantum subroutine for small molecules in first-quantization on noisy hardware.
arXiv Detail & Related papers (2024-11-07T18:06:16Z) - Truncated Gaussian basis approach for simulating many-body dynamics [0.0]
The approach constructs an effective Hamiltonian within a reduced subspace, spanned by fermionic Gaussian states, and diagonalizes it to obtain approximate eigenstates and eigenenergies.<n> Symmetries can be exploited to perform parallel computation, enabling to simulate systems with much larger sizes.<n>For quench dynamics we observe that time-evolving wave functions in the truncated subspace facilitates the simulation of long-time dynamics.
arXiv Detail & Related papers (2024-10-05T15:47:01Z) - 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.
We find sufficient conditions under which dynamical decoupling works for such systems.
Our bounds reproduce the correct scaling in various relevant system parameters.
arXiv Detail & Related papers (2024-09-24T04:58:28Z) - TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems [43.39754726042369]
We propose a simple-yet-effective self-supervised regularization term as a soft constraint that aligns the forward and backward trajectories predicted by a continuous graph neural network-based ordinary differential equation (GraphODE)
It effectively imposes time-reversal symmetry to enable more accurate model predictions across a wider range of dynamical systems under classical mechanics.
Experimental results on a variety of physical systems demonstrate the effectiveness of our proposed method.
arXiv Detail & Related papers (2023-10-10T08:52:16Z) - Unbiasing time-dependent Variational Monte Carlo by projected quantum
evolution [44.99833362998488]
We analyze the accuracy and sample complexity of variational Monte Carlo approaches to simulate quantum systems classically.
We prove that the most used scheme, the time-dependent Variational Monte Carlo (tVMC), is affected by a systematic statistical bias.
We show that a different scheme based on the solution of an optimization problem at each time step is free from such problems.
arXiv Detail & Related papers (2023-05-23T17:38:10Z) - 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) - Macroscopic noise amplification by asymmetric dyads in non-Hermitian
optical systems for generative diffusion models [55.2480439325792]
asymmetric non-Hermitian dyads are promising candidates for efficient sensors and ultra-fast random number generators.
integrated light emission from such asymmetric dyads can be efficiently used for all-optical degenerative diffusion models of machine learning.
arXiv Detail & Related papers (2022-06-24T10:19:36Z) - Decimation technique for open quantum systems: a case study with
driven-dissipative bosonic chains [62.997667081978825]
Unavoidable coupling of quantum systems to external degrees of freedom leads to dissipative (non-unitary) dynamics.
We introduce a method to deal with these systems based on the calculation of (dissipative) lattice Green's function.
We illustrate the power of this method with several examples of driven-dissipative bosonic chains of increasing complexity.
arXiv Detail & Related papers (2022-02-15T19:00:09Z) - Importance Sampling Scheme for the Stochastic Simulation of Quantum Spin
Dynamics [0.0]
We develop an importance sampling scheme for the simulation of quantum spin dynamics.
An exact transformation is then carried out to preferentially sample trajectories that are close to the dominant one.
We demonstrate that this approach is capable of reducing the temporal growth of fluctuations in the quantities.
arXiv Detail & Related papers (2021-03-30T16:18:28Z) - Symmetry-resolved dynamical purification in synthetic quantum matter [1.2189422792863447]
We show that symmetry-resolved information spreading is inhibited due to the competition of coherent and incoherent dynamics.
Our work shows that symmetry plays a key role as a magnifying glass to characterize many-body dynamics in open quantum systems.
arXiv Detail & Related papers (2021-01-19T19:01:09Z) - Probing symmetries of quantum many-body systems through gap ratio
statistics [0.0]
We extend the study of the gap ratio distribution P(r) to the case where discrete symmetries are present.
We present a large set of applications in many-body physics, ranging from quantum clock models and anyonic chains to periodically-driven spin systems.
arXiv Detail & Related papers (2020-08-25T17:11:40Z) - The role of boundary conditions in quantum computations of scattering
observables [58.720142291102135]
Quantum computing may offer the opportunity to simulate strongly-interacting field theories, such as quantum chromodynamics, with physical time evolution.
As with present-day calculations, quantum computation strategies still require the restriction to a finite system size.
We quantify the volume effects for various $1+1$D Minkowski-signature quantities and show that these can be a significant source of systematic uncertainty.
arXiv Detail & Related papers (2020-07-01T17:43:11Z)
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.