Data and Codes for "Decoherence of Schroedinger cat states in light of wave/particle duality"

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Dataset information

Country of origin
Updated
2026.01.08 00:00
Created
2026.01.08
Available languages
English
Keywords
Quantum optics and quantum optomechanics, Foundations of quantum mechanics
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Dataset description

We challenge the standard picture of decohering Schroedigner cat states as an ensemble average obeying a Lindblad master equation, brought about locally from an irreversible interaction with an environment. We generate self-consistent collections of pure system states correlated with specific environmental records, corresponding to the function of the wave-particle correlator first introduced [Phys. Rev. Lett. 85, 1855 (2000)]. In the spirit of [Coherent States: Past, Present and Future, pp. 75-91, World Scientific (1994)], we find that the complementary unravelings evince a pronounced disparity when the ``position'' and ``momentum'' of the damped cavity mode -- an explicitly open quantum system -- are measured. Intensity-field correlations may largely deviate from a monotonic decay, while Wigner functions of the cavity state display contrasting manifestations of quantum interference when conditioned on photon counts sampling a continuous photocurrent. In turn, the conditional photodetection events mark the contextual diffusion of both the net charge generated at the homodyne detector, and the electromagnetic field amplitude in the resonator. The present dataset includes codes and data as MATLAB .m and .mat files, respectively. Data generated and used for each figure are grouped according to the figure order in the manuscript. For example, FIG2/W_J3_0.mat corresponds to the matrix data used to plot a conditioned Wigner function in Fig. 2,namely the one at the time (3-1)dt=2dt with local-oscillator phase equal to 0. The main MATLAB code for generating quantum trajectories and the intensity-field correlation function, depicted in Fig. 2, is titled HomCat.m. The main code used to generate the charge distributions depicted in Fig. 3 is titled Trajectory_WPC.m.The rest serve as auxiliary scripts either to assess the principal data or plot specific functions.
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