Noisy Coherent Population Trapping: Applications to Noise Estimation and Qubit State Preparation

Autor: Arshag Danageozian, Ashe Miller, Pratik J Barge, Narayan Bhusal, Jonathan P Dowling
Rok vydání: 2021
Předmět:
DOI: 10.48550/arxiv.2103.16656
Popis: Coherent population trapping is a well-known quantum phenomenon in a driven Λ system, with many applications across quantum optics. However, when a stochastic bath is present in addition to vacuum noise, the observed trapping is no longer perfect. Here we derive a time-convolutionless master equation describing the equilibration of the Λ system in the presence of additional temporally correlated classical noise, with an unknown decay parameter. Our simulations show a one-to-one correspondence between the decay parameter and the depth of the characteristic dip in the photoluminescence spectrum, thereby enabling the unknown parameter to be estimated from the observed spectra. We apply our analysis to the problem of qubit state initialization in a Λ system via dark states and show how the stochastic bath affects the fidelity of such initialization as a function of the desired dark-state amplitudes. We show that an optimum choice of Rabi frequencies is possible.
Databáze: OpenAIRE