Theory of relaxation time of stochastic nanomagnets
Shun Kanai, Keisuke Hayakawa, Hideo Ohno, Shunsuke Fukami
Abstract
Reducing the relaxation time between binary spin states is crucial to enhance the speed and accuracy of a spintronics-based approach for a probabilistic computer, as envisioned by R.P. Feynman. Contrary to previous perception that the reduction of the energy barrier between the states is the most efficient way, the authors discover here that the relaxation time in in-plane easy-axis nanomagnets is widely controllable by changing the effective perpendicular anisotropy field, even though it has nothing to do with the energy barrier.
Topics & Concepts
NanomagnetSpintronicsCondensed matter physicsPhysicsRelaxation (psychology)AnisotropyProbabilistic logicAnisotropy energyStatistical physicsQuantum mechanicsComputer scienceMagnetic anisotropyMagnetic fieldMagnetizationFerromagnetismPsychologyArtificial intelligenceSocial psychologyQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir ComputingQuantum-Dot Cellular Automata