Entanglement of formation of mixed many-body quantum states via Tree
Tensor Operators
- URL: http://arxiv.org/abs/2011.01247v2
- Date: Tue, 2 Nov 2021 19:00:02 GMT
- Title: Entanglement of formation of mixed many-body quantum states via Tree
Tensor Operators
- Authors: Luca Arceci, Pietro Silvi and Simone Montangero
- Abstract summary: We use a positive loopless representation for density matrices to encode information on bipartite entanglement.
We observe a finite-size scaling law for the entanglement of formation in 1D critical lattice models at finite temperature for up to 128 spins, extending to mixed states the scaling law for the entanglement entropy.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present a numerical strategy to efficiently estimate bipartite
entanglement measures, and in particular the Entanglement of Formation, for
many-body quantum systems on a lattice. Our approach exploits the Tree Tensor
Operator tensor network ansatz, a positive loopless representation for density
matrices which, as we demonstrate, efficiently encodes information on bipartite
entanglement, enabling the up-scaling of entanglement estimation. Employing
this technique, we observe a finite-size scaling law for the entanglement of
formation in 1D critical lattice models at finite temperature for up to 128
spins, extending to mixed states the scaling law for the entanglement entropy.
Related papers
- Entanglement and the density matrix renormalisation group in the generalised Landau paradigm [0.0]
We leverage the interplay between gapped phases and dualities of symmetric one-dimensional quantum lattice models.
For every phase in the phase diagram, the dual representation of the ground state that breaks all symmetries minimises both the entanglement entropy and the required number of variational parameters.
Our work testifies to the usefulness of generalised non-invertible symmetries and their formal category theoretic description for the nuts and bolts simulation of strongly correlated systems.
arXiv Detail & Related papers (2024-08-12T17:51:00Z) - Gaussian Entanglement Measure: Applications to Multipartite Entanglement
of Graph States and Bosonic Field Theory [50.24983453990065]
An entanglement measure based on the Fubini-Study metric has been recently introduced by Cocchiarella and co-workers.
We present the Gaussian Entanglement Measure (GEM), a generalization of geometric entanglement measure for multimode Gaussian states.
By providing a computable multipartite entanglement measure for systems with a large number of degrees of freedom, we show that our definition can be used to obtain insights into a free bosonic field theory.
arXiv Detail & Related papers (2024-01-31T15:50:50Z) - Quantum tomography of helicity states for general scattering processes [55.2480439325792]
Quantum tomography has become an indispensable tool in order to compute the density matrix $rho$ of quantum systems in Physics.
We present the theoretical framework for reconstructing the helicity quantum initial state of a general scattering process.
arXiv Detail & Related papers (2023-10-16T21:23:42Z) - Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging [0.0]
Entanglement forging based variational algorithms leverage the bi- partition of quantum systems.
We propose a new method for entanglement forging employing generative neural networks to identify the most pertinent bitstrings.
We show that the proposed algorithm achieves comparable or superior performance compared to the existing standard implementation of entanglement forging.
arXiv Detail & Related papers (2023-07-05T20:06:17Z) - Quantum algorithms for grid-based variational time evolution [36.136619420474766]
We propose a variational quantum algorithm for performing quantum dynamics in first quantization.
Our simulations exhibit the previously observed numerical instabilities of variational time propagation approaches.
arXiv Detail & Related papers (2022-03-04T19:00:45Z) - Simulating thermal density operators with cluster expansions and tensor
networks [0.0]
We benchmark this cluster tensor network operator (cluster TNO) for one-dimensional systems.
We use this formalism for representing the thermal density operator of a two-dimensional quantum spin system at a certain temperature as a single cluster TNO.
We find through a scaling analysis that the cluster-TNO approximation gives rise to a continuous phase transition in the correct universality class.
arXiv Detail & Related papers (2021-12-02T18:56:44Z) - Quantum transport and localization in 1d and 2d tight-binding lattices [39.26291658500249]
Particle transport and localization phenomena in condensed-matter systems can be modeled using a tight-binding lattice Hamiltonian.
Here, we experimentally study quantum transport in one-dimensional and two-dimensional tight-binding lattices, emulated by a fully controllable $3 times 3$ array of superconducting qubits.
arXiv Detail & Related papers (2021-07-11T12:36:12Z) - Dynamics of two-dimensional open quantum lattice models with tensor
networks [0.0]
We develop a tensor network method, based on an infinite Projected Entangled Pair Operator (iPEPO) ansatz, applicable directly in the thermodynamic limit.
We consider dissipative transverse quantum Ising and driven-dissipative hard core boson models in non-mean field limits.
Our method enables to study regimes which are accessible to current experiments but lie well beyond the applicability of existing techniques.
arXiv Detail & Related papers (2020-12-22T18:24:20Z) - Efficient construction of tensor-network representations of many-body
Gaussian states [59.94347858883343]
We present a procedure to construct tensor-network representations of many-body Gaussian states efficiently and with a controllable error.
These states include the ground and thermal states of bosonic and fermionic quadratic Hamiltonians, which are essential in the study of quantum many-body systems.
arXiv Detail & Related papers (2020-08-12T11:30:23Z) - 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) - Efficient variational contraction of two-dimensional tensor networks
with a non-trivial unit cell [0.0]
tensor network states provide an efficient class of states that faithfully capture strongly correlated quantum models and systems.
We generalize a recently proposed variational uniform matrix product state algorithm for capturing one-dimensional quantum lattices.
A key property of the algorithm is a computational effort that scales linearly rather than exponentially in the size of the unit cell.
arXiv Detail & Related papers (2020-03-02T19:01:06Z)
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.