Nanoscale magnonic networks
Qi Wang, György Csaba, Roman Verba, Andrii V. Chumak, Philipp Pirro
Abstract
Spin waves and their quanta magnons are the collective excitations of a spin systems of a magnetic material, which offer the potential for higher efficiency and lower energy consumption in solving specific issues in data processing. This Perspective discusses the current challenges in realizing magnonic circuits based on the building blocks developed to date, and further looks at the application of magnons in neuromorphic networks and stochastic, reservoir, and quantum computing, and discusses their advantages over conventional electronics in these areas.
Topics & Concepts
MagnonNeuromorphic engineeringElectronicsSpin waveComputer scienceNanoscopic scalePhysicsSpin (aerodynamics)Electronic circuitElectrical engineeringQuantum mechanicsEngineeringArtificial neural networkFerromagnetismArtificial intelligenceThermodynamicsMagnetic properties of thin filmsAdvanced Memory and Neural ComputingNeural Networks and Reservoir Computing