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Beilstein J. Nanotechnol. 2023, 14, 1116–1126, doi:10.3762/bjnano.14.92
Figure 1: The idea behind the creation of the bifunctional cell. The combination of a quantum interferometer ...
Figure 2: (a, b) Time-dependence of the populations of ground state, P0(t), (black curve) and first excited s...
Figure 3: (a) The spectrum of the Hamiltonian (Equation 1) as a function of the external flux φin(t) based on the numer...
Figure 4: (a) Influence of temperature on the transfer characteristic of the parametron in the quantum regime...
Figure 5: Interference population map for the first excited state (a) and the second state (b) for different ...
Beilstein J. Nanotechnol. 2022, 13, 653–665, doi:10.3762/bjnano.13.57
Figure 1: (a) Sketch of a flexible hybrid system consisting of a classical ANN having its configuration (syna...
Figure 2: The energy spectrum and adiabatic (instantaneous) wave functions are represented at the initial tim...
Figure 3: The neuron activation functions for l = 0.1 and different initial states: The black curve correspon...
Figure 4: The Wigner functions W(φ, p, t = 0) of the considered system initialized at the initial moment of t...
Figure 5: The evolution of the Wigner function under the influence of the input flux φin for the SQ neuron in...
Figure 6: The activation functions of the neuron with l = 2.5 initialized (a) in the ground state, see the bl...
Figure 7: Evolution of the Wigner function of the SQ neuron with l = 2.5 initialized in the ground state unde...
Figure 8: The activation function of the neuron with l = 2.5 initialised at t = 0 in the ground state. Here t...
Figure 9: The value of the square of the standard deviation, SD, of the SQ neuron activation function from th...
Figure 10: The neuron activation function for l = 0.1 (a, c) and l = 2.5 (b, d) when the cell is initialized i...
Figure 11: The neuron activation functions for l = 0.1 (a, c) and l = 2.5 (b, d) for different renormalized co...