Multiscale energy profile of maximally nonlocal quantum CHSH scenarios
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The outcomes measured by Alice and Bob in quantum CHSH scenarios are collected as digital signals and decomposed into a set of trend and fluctuation subsignals. We show that the shortest scales subsignals contain the highest energy concentrations. Later, the subsignals%27 energy is characterized in terms of the entanglement degree. For maximally entangled qubits, the dominant energy in the signals measured locally by the observers is the fluctuation energy (ratios from 0.5 to 1), whereas in the signals considering the outputs of both parties is the trend energy (ratios from 0.5 to 0.75). The energy profile attained is a key step toward the compression of quantum signals via wavelet techniques. © 2021 Elsevier B.V.
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The outcomes measured by Alice and Bob in quantum CHSH scenarios are collected as digital signals and decomposed into a set of trend and fluctuation subsignals. We show that the shortest scales subsignals contain the highest energy concentrations. Later, the subsignals' energy is characterized in terms of the entanglement degree. For maximally entangled qubits, the dominant energy in the signals measured locally by the observers is the fluctuation energy (ratios from 0.5 to 1), whereas in the signals considering the outputs of both parties is the trend energy (ratios from 0.5 to 0.75). The energy profile attained is a key step toward the compression of quantum signals via wavelet techniques. © 2021 Elsevier B.V.
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Haar wavelets; Multiscale energy profiles; Quantum CHSH scenarios; Quantum correlations; Quantum signals compression Quantum optics; Energy; Energy profile; Energy ratio; Haar-wavelets; Multiscale energy; Multiscale energy profile; Nonlocal; Quantum CHSH scenario; Quantum correlations; Quantum signal compression; Quantum entanglement
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