![]() ![]() We then establish general upper and lower bounds for the evolution of quantum coherence under arbitrary thermal operations, valid for any temperature. However, our understanding and quantitative characterization of coherence as an operational resource are still very limited. Optimal protection against environmental effects. We show that this thermodynamic symmetry decomposes any quantum state into mode operators that quantify the coherence present in the state. Quantum-coherent nanoscience, lying at the intersection between nanoscience and quantum science, is a discipline within the fields of condensed matter physics, materials science and molecular. Quantum coherence is an essential ingredient in quantum information processing and plays a central role in emergent elds such as nanoscale thermodynamics and quantum biology. That a tetrahedral geometry comprising a four-spin buffer network provides Quantum coherence is a prime resource in quantum computing and quantum communication. Interestingly, our results demonstrate that the preservation timeĭoes not consistently increase with an increasing number of buffer spins.Įmploying a quantum master equation in our simulations, we further demonstrate Maximal planar graph yields the longest preservation time for a given number ofīuffer spins. Our findings reveal that the connectivity of theīuffer network is crucial in determining the preservation duration of quantumĬoherence in an individual central spin. Inter-spin coupling, we explore the various buffer network configurations thatĬan be embedded in a plane. Here, we give a brief of it.Download a PDF of the paper titled Geometrical optimization of spin clusters for the preservation of quantum coherence, by Lea Gassab and 1 other authors Download PDF Abstract: We investigate the influence of geometry on the preservation of quantumĬoherence in spin clusters subjected to a thermal environment. to diagonalize the Hamiltonian for a uniform matter. Quantum coherence is based on the idea that all objects have wave-like properties. As was said, we use the method developed in Ref. Quantum coherence refers to the ability of a quantum state to maintain its Quantum entanglement - Wikipedia and superposition in the face of interactions and the effects of thermalization. More simplified and accurate arguments have been performed for the oscillations in uniform matter density versus baseline divided by neutrino energy plane by using a perturbative framework in Ref. In particular, neutrino oscillation in the matter has been treated comprehensively in Refs. Many authors have considered this problem. Therefore, the investigation of time evolution of the realistic three generations scheme becomes complicated, generally speaking. Quantum phenomena are generally classified as macroscopic when the quantum states are occupied by a large number of particles (of the order of the Avogadro number) or the quantum states involved are macroscopic in size (up to kilometer-sized in superconducting wires). For this purpose, we use \(l_1\text |\) and the energy E of neutrinos to be changed. include quantum information processing in the brain, quantum coherence and. In this paper, we consider the decoherence due to the neutrino interaction in the material medium with constant density in addition to the decoherence coming from the localization properties. articles on the interface between quantum physics and neuroscience. In particular, we know that the neutrino oscillation occurs because the quantum states of the produced and detected neutrinos are a coherent superposition of the mass eigenstates, and this coherency is maintained during the propagation due to the small mass difference of neutrinos. Here it is shown that quantum coherence, in the form of population inversion pulses, is induced by self-induced transparent electromagnetic pulses. A closer and more detailed study of neutrino oscillation, in addition to assisting us in founding physics beyond the standard model, can potentially be used to understand the fundamental aspects of quantum mechanics. ![]()
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