Entanglement of weighted graphs uncovers transitions in variable-range
interacting models
- URL: http://arxiv.org/abs/2307.11739v1
- Date: Fri, 21 Jul 2023 17:53:46 GMT
- Title: Entanglement of weighted graphs uncovers transitions in variable-range
interacting models
- Authors: Debkanta Ghosh, Keshav Das Agarwal, Pritam Halder, Aditi Sen De
- Abstract summary: We show that a variable-range power law interacting Ising model can generate a genuine entangled graph state.
In order to achieve a finite-size subsystem from the entire system, we design a local measurement strategy.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The cluster state acquired by evolving the nearest-neighbor (NN) Ising model
from a completely separable state is the resource for measurement-based quantum
computation. Instead of an NN system, a variable-range power law interacting
Ising model can generate a genuine multipartite entangled (GME) weighted graph
state (WGS) that may reveal intrinsic characteristics of the evolving
Hamiltonian. We establish that the pattern of generalized geometric measure
(GGM) in the evolved state with an arbitrary number of qubits is sensitive to
fall-off rates and the range of interactions of the evolving Hamiltonian. We
report that the time-derivative and time-averaged GGM at a particular time can
detect the transition points present in the fall-off rates of the interaction
strength, separating different regions, namely long-range, quasi-local and
local ones in one- and two-dimensional lattices with deformation. Moreover, we
illustrate that in the quasi-local and local regimes, there exists a minimum
coordination number in the evolving Ising model for a fixed total number of
qubits which can mimic the GGM of the long-range model. In order to achieve a
finite-size subsystem from the entire system, we design a local measurement
strategy that allows a WGS of an arbitrary number of qubits to be reduced to a
local unitarily equivalent WGS having fewer qubits with modified weights.
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