6533b86ffe1ef96bd12cd216
RESEARCH PRODUCT
Emergent hydrodynamics in a strongly interacting dipolar spin ensemble.
Bingtian YeDaniel J. TwitchenDmitry BudkerDmitry BudkerChong ZuChong ZuAndrey JarmolaAndrey JarmolaFrancisco MachadoFrancisco MachadoMatthew MarkhamSoonwon ChoiP. BhattacharyyaP. BhattacharyyaChris LaumannSatcher HsiehSatcher HsiehJoel E. MooreJoel E. MooreBryce KobrinBryce KobrinThomas MittigaThomas MittigaNorman Y. YaoNorman Y. Yaosubject
PhysicsQuantum PhysicsMultidisciplinaryRandom fieldCondensed Matter - Mesoscale and Nanoscale PhysicsQuantum simulatorFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksFick's laws of diffusionDipolesymbols.namesakeClassical mechanicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)Spin diffusionsymbolsddc:500Spin (physics)Hamiltonian (quantum mechanics)Quantum Physics (quant-ph)Quantumdescription
Conventional wisdom holds that macroscopic classical phenomena naturally emerge from microscopic quantum laws. However, despite this mantra, building direct connections between these two descriptions has remained an enduring scientific challenge. In particular, it is difficult to quantitatively predict the emergent "classical" properties of a system (e.g. diffusivity, viscosity, compressibility) from a generic microscopic quantum Hamiltonian. Here, we introduce a hybrid solid-state spin platform, where the underlying disordered, dipolar quantum Hamiltonian gives rise to the emergence of unconventional spin diffusion at nanometer length scales. In particular, the combination of positional disorder and on-site random fields leads to diffusive dynamics that are Fickian yet non-Gaussian. Finally, by tuning the underlying parameters within the spin Hamiltonian via a combination of static and driven fields, we demonstrate direct control over the emergent spin diffusion coefficient. Our work opens the door to investigating hydrodynamics in many-body quantum spin systems.
year | journal | country | edition | language |
---|---|---|---|---|
2021-01-01 | Nature |