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20012005
most citedFundamental Aspects of Quantum Brownian Motion

286 citations · 988 across the 12 of their papers we have counts for

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6 papers · 1 filter

quant-ph2004286 cited

Fundamental Aspects of Quantum Brownian Motion

Peter Hänggi, Gert-Ludwig Ingold

With this work we elaborate on the physics of quantum noise in thermal equilibrium and in stationary non-equilibrium. Starting out from the celebrated quantum fluctuation-dissipati…

cond-mat.mes-hall200445 cited

Coherence stabilization of a two-qubit gate by AC fields

Karen M. Fonseca Romero, Sigmund Kohler, Peter Hänggi

We consider a CNOT gate operation under the influence of quantum bit-flip noise and demonstrate that ac fields can change bit-flip noise into phase noise and thereby improve cohere…

physics.bio-ph2004121 cited

Fractional diffusion modeling of ion channel gating

Igor Goychuk, Peter Hanggi

An anomalous diffusion model for ion channel gating is put forward. This scheme is able to describe non-exponential, power-law like distributions of residence time intervals in sev…

cond-mat.mes-hall200487 cited

Vibrational effects in laser driven molecular wires

Jörg Lehmann, Sigmund Kohler, Volkhard May +1

The influence of an electron-vibrational coupling on the laser control of electron transport through a molecular wire that is attached to several electronic leads is investigated.…

cond-mat.dis-nn200421 cited

Diffusion Time-Scale Invariance, Markovization Processes and Memory Effects in Lennard-Jones Liquids

Renat M. Yulmetyev, Anatolii V. Mokshin, Peter Hänggi

We report the results of calculation of diffusion coefficients for Lennard-Jones liquids, based on the idea of time-scale invariance of relaxation processes in liquids. The results…

q-bio.NC200434 cited

Switching Time Statistics for Driven Neuron Models: Analytic Expressions versus Numerics

Michael Schindler, Peter Talkner, Peter Hänggi

Analytical expressions are put forward to investigate the forced spiking activity of abstract neuron models such as the driven leaky integrate-and-fire (LIF) model. The method is v…