Dissipation-assisted operator evolution method for capturing hydrodynamic transport
Tibor Rakovszky, Curt von Keyserlingk, Frank Pollmann
Abstract
Transport properties are among the most practically important features of materials, yet their precise calculation in strongly interacting systems poses a formidable challenge. One might even expect that it requires a quantum computer. The authors introduce an algorithm that tackles this challenge with only moderate resources on a classical computer. It relies on introducing an artificial dissipation process that only affects nonlocal observables, thus reducing the computational cost without strongly influencing physically relevant quantities. The algorithm is tested on various paradigmatic models with good convergence results.
Topics & Concepts
DissipationObservableComputer scienceConvergence (economics)Statistical physicsProcess (computing)Operator (biology)QuantumClassical mechanicsPhysicsMathematical optimizationMathematicsQuantum mechanicsOperating systemTranscription factorBiochemistryEconomicsEconomic growthRepressorGeneChemistryQuantum many-body systemsModel Reduction and Neural NetworksQuantum and electron transport phenomena