Extracting Information from Qubit-Environment Correlations

Most works on open quantum systems generally focus on the reduced physical system by tracing out the environment degrees of freedom. Here we show that the qubit distributions with the environment are essential for a thorough analysis, and demonstrate that the way that quantum correlations are distributed in a quantum register is constrained by the way in which each subsystem gets correlated with the environment. For a two-qubit system coupled to a common dissipative environment $\mathcal{E}$, we show how to optimise interqubit correlations and entanglement via a quantification of the qubit-environment information flow, in a process that, perhaps surprisingly, does not rely on the knowledge of the state of the environment. To illustrate our findings, we consider an optically-driven bipartite interacting qubit $AB$ system under the action of $\mathcal{E}$. By tailoring the light-matter interaction, a relationship between the qubits early stage disentanglement and the qubit-environment entanglement distribution is found. We also show that, under suitable initial conditions, the qubits energy asymmetry allows the identification of physical scenarios whereby qubit-qubit entanglement minima coincide with the extrema of the $A\mathcal{E}$ and $B\mathcal{E}$ entanglement oscillations.Comment: 4 figures, 9 page

Model-Independent Quantum Phases Classifier

Machine learning has revolutionized many fields of science and technology. Through the $k$-Nearest Neighbors algorithm, we develop a model-independent classifier, where the algorithm can classify phases of a model to which it has never had access. For this, we study three distinct spin-$1$ models with some common phases: the XXZ chains with uniaxial single-ion-type anisotropy, the bound alternating XXZ chains, and the bilinear biquadratic chain. We show that, with high probability, algorithms trained with two of these models can determine common phases with the third. It is the first step toward a universal classifier, where an algorithm is able to detect any phase with no knowledge about the Hamiltonian, only knowing partial information about the quantum state

Entanglement Irreversibility From Quantum Discord And Quantum Deficit.

We relate the problem of irreversibility of entanglement with the recently defined measures of quantum correlation--quantum discord and one-way quantum deficit. We show that the entanglement of formation is always strictly larger than the coherent information and the entanglement cost is also larger in most cases. We prove irreversibility of entanglement under local operations and classical communication for a family of entangled states. This family is a generalization of the maximally correlated states for which we also give an analytic expression for the distillable entanglement, the relative entropy of entanglement, the distillable secret key, and the quantum discord.10702050

Non-unitary versus unitary optimization in the control of open quantum systems

In this work, we compare the performance of the Krotov method for open quantum systems (non-unitary optimization) with the Krotov method for closed quantum systems (unitary optimization) in finding optimal controls aimed at manipulating qubits and qutrits in the presence of the environment. In the case of unitary optimization, the Krotov method is applied to quantum system neglecting its interaction with the environment, afterwards the resulting controls are used to manipulate the system along with the eviromental noise. We consider two distinct control problems: target-state preparation from a given initial state and quantum gate implementation. For the state preparation, we {have found that the performance of the controls obtained from the non-unitary optimization outperform that of the controls obtained from the unitary optimization}. {However, in the case of the implementation of quantum gates, we have found that the optimal controls obtained from the unitary evolution exhibit a mean fidelity similar to that obtained from the non-unitary evolution. Since unitary optimization does not depend on decay rates nor on specific kinds of noise, besides being less computationally demanding, our results suggest that the best current practice to implement quantum gates in open quantum systems is to employ unitary optimization.Comment: 7 pages, 9 figure