Quantum interferometric power versus quantum correlations in a graphene layer system with a scattering process under thermal noise

Abstract

Cutting-edge quantum processing technology is currently exploring the remarkable electronic properties of graphene layers, such as their high mobility and thermal conductivity. Our research is dedicated to investigating the behavior of quantum resources within a graphene layer system with a scattering process, specifically focusing on quantum interferometric power (QIP) and quantum correlations, while taking into account the influence of thermal noise. To quantify these correlations, we employ measures like local quantum uncertainty (LQU) and logarithmic negativity (LN). We examine how factors like temperature, inter-valley scattering processes strength, and other system parameters affect both QIP and quantum correlations. Our results reveal that higher temperatures lead to a reduction in QIP and non-classical correlations within graphene layers. Moreover, it is noteworthy that QIP and LQU respond similarly to changes in temperature, whereas LN is more sensitive to these variations. By optimizing system parameters such as band parameter, wavenumber operators and scattering processes strength, we can mitigate the impact of thermal noise and enhance the quantum advantages of graphene-based quantum processing

Nonclassical correlations in two-dimensional graphene lattices

“…Significant attention has also been given to the study of possible applications in graphene-based entanglement [50], quantum memory [51,52] and quantum teleportation [53]. Recently, many research works have studied the dynamics of entanglement in a graphene layer system [50,[54][55][56][57][58][59][60][61][62].…”