Quantum to Classical Transition in Noisy Classical Environment JACOPO TRAPANI.

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Presentation transcript:

Quantum to Classical Transition in Noisy Classical Environment JACOPO TRAPANI

Markovian Environment Who am I? System loses its quantum features because of decoherence Non-Markovian Environment Non Markovian Environment I feel changed… Preparation of Quantum state The state changes but its quantum features are not definitely destroyed by decoherence

Gaussian noise stochastic model: Why?  Not feasible full quantum description  Classical stochastic fields give solution equivalent to the full quantum description in many situations  We have direct access on the correlations of the environment

Gaussian noise: classical stochastic field (CSF) model Interaction Hamiltonian Gaussian Noise

Stochastic Field

Quantum to Classical Transition Coherent state |α > properties: Glauber Sudarshan P-distribution: Thermal state P(α):

Nonclassical Depth criterion Quantum stateClassical state The transition happens when P(α) turns positive!! NCD criterion: we have to find the time t Q such that the P-distribution turns positive

The P-distribution is the Fourier transform of the characteristic function of the state Characteristic function evolution It’s a property of the initial state! genarates a positive P-distribution

Nonclassical Depth criterion The result found is independent on the initial state! The result found is a property of the channel! State with same η have same decoherence time

NCD: Resonant Interaction Correlations Persistence of nonclassicality when Markovian Regime!

NCD: Off-Resonance Interaction Detuning Revivals of nonclassicality!!

Results 1. CSF is a good model for non Markovian and Markovian interaction 2. Same decoherence time for different states with same amount of nonclassicality 3. Larger environment correlations means lorger decoherence time 4. Detuning implies revivals of nonclassicality