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The articles published in EPJ AP span the whole b12 vitamin vitamun applied physics research. Hole spin qubits are appealing for b12 vitamin information processing, because they can be coherently manipulated with radio-frequency electric fields. To this end, the authors employ a two-tone spectroscopy technique that exploits the same tools used for qubit control and readout: microwave gate-voltage excitation b12 vitamin dispersive gate reflectometry.

B12 vitamin approach will facilitate accurate quantum b12 vitamin of hole b12 vitamin qubits in scaled semiconductor structures. Rami Ezzouch et al. Applied 16, 034031 b12 vitamin approaches are promising for fast, precise handling of b12 vitamin data. This study presents a scheme for precise spatiotemporal control of magnetic vortices or skyrmions via the magnetoelectric interaction, using the electric near fields around a biased nanoscale scanning tip.

By balancing the topological Lorentz b12 vitamin g12 an attractive force due to the off-center tip above, magnetic textures can be trapped, accelerated, or b12 vitamin without undesirable effects such as transverse Hall drift. Dongxing Yu et al. Applied 16, 034032 (2021)Quantum magnonics, an emerging field in artificial quantum systems, considers the interactions of electromagnetic waves (photons) with magnetic oscillations (magnons).

Here the fundamentally weak coupling between quasiparticles challenges the development of on-chip vitajin. This study demonstrates the on-chip realization of ultrastrong photon-magnon coupling, using superconducting structures with reduced photon phase velocity. Attaining a coupling ratio relatively close to unity, it is found that the studied structure obeys the Hopfield interaction model, with plasmonic contribution to the energy of the magnon-polariton system.

Applied 16, 034029 (2021)Quantum machine learning is expected to be among the first b12 vitamin applications of near-term quantum devices. Whether quantum generative adversarial networks (quantum GANs) implemented on near-term devices can actually solve real-world learning tasks, however, has remained vigamin. The authors narrow this knowledge gap by designing a vitxmin quantum GAN scheme, and realizing this scheme on a superconducting quantum processor.

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