Purpose

The paper aims to provide a numerical exploration of the effect of fractional spatial derivatives and a non-sinusoidal current-phase relation for systems modelled using sine-Gordon equations and, in particular, Josephson junction parallel arrays.

Design/methodology/approach

The effect of fractional derivatives is examined for single, double and triple sine-Gordon equations. This is then extended to the Josephson junction array model. In addition, the effect of a non-sinusoidal current-phase model is examined. The effect on an initial spatial distribution with no input is considered and subsequently analysis with an input current is examined.

Findings

The findings indicate that higher-order harmonics can result in non-monotonic behaviour or an oscillation for the case of an initial spatial distribution. Similarly, fractional spatial derivatives introduce an oscillation and result in non-monotonic behaviour. The incorporation of additional harmonics affects the response of the Josephson array system, which can have consequences in relation to signal detection. Fractional derivatives affect the damping of the response of the system.

Originality/value

The paper is original in investigating the combination of fractional spatial derivatives and a non-sinusoidal current-phase relation for a Josephson junction parallel array.

Josephson junctions have a wide variety of applications, such as microwave oscillators, mixers and travelling wave power amplifiers (Kogan, 2022), (Guarcello et al., 2024) and a comb generator (Babenko et al., 2020). They are also of significant interest for quantum computations (Clarke and Wilhelm, 2008). Their dynamic behaviour has been a significant focus of research (e.g. Guarcello et al., 2023) and several recent research papers have explored the effect of noise on dynamical and transient behaviour (e.g. De Santis et al., 2022 and Fedorov and Pankratov, 2007). The paper considers a Josephson junction parallel array (Chevriaux et al., 2006) and explores the effect of a non-sinusoidal current-phase relation and spatial fractional derivatives on its dynamical behaviour. The closely connected sine-Gordon equation shall be considered to gain further insight into the behaviour. This equation models the behaviour of long Josephson junctions and Josephson junction arrays in the continuous limit.

The behaviour of Josephson junctions is described by partial differential equations involving the phase difference of the wave function across the junction between two superconductors. Of particular importance is the current-phase relation. Experimental techniques for its measurement are given in, for example, (Wetzstein et al., 2011) and (Golubov et al., 2004). It is generally assumed that Josephson junctions have a sinusoidal current-phase relation. However, as indicated in several works, for example, (Guarcello et al., 2025) and (Guarcello et al., 2024) and (Golubov et al., 2004), this is not necessarily the case and hence, the effect of a non-sinusoidal current-phase relation merits investigation. High-temperature superconductor and Fe-based superconductor junctions are examples of cases giving rise to an anharmonic current-phase relation (Askerzade and Salati, 2022). Graphene Josephson junctions have also been shown to have a highly skewed relationship (English et al., 2016). The authors in Canturk and Askerzade (2011) examined the influence of second harmonics on Josephson junction qubits and showed that phase qubits are strongly affected. The authors in Atanasova et al. (2011) examine the stability of the solutions of the double sine-Gordon model of the long Josephson junction. In Guarcello et al. (2025) the inclusion of a second-order harmonic affects the gain of a Josephson travelling-wave parametric amplifier and its stability. In Guarcello et al. (2024), a non-sinusoidal transparency-dependent current-phase relation is considered and the variation of the transparency is shown to affect the gain of the travelling-wave amplifier and the stability and route to chaos of the device.

In addition to this, the effect of fractional spatial derivatives shall be studied. Fractional spatial derivatives enable the modelling of nonlocal behaviour (Lischke et al., 2020). Fractional derivatives have been explored for several areas of science and electromagnetics, for example, (Antonini et al., 2021) and quantum mechanics (Bayin, 2016) and include global effects in system models. The accuracy of fractional time derivatives for modelling CMOS transmission line systems was shown experimentally in (Shang et al., 2013). Fractional effects have been examined in several previous works relating to the sine-Gordon model and Josephson junctions, for example (Bountis et al., 2025; Mares-Rincón et al., 2025; Ali et al., 2021; Macías-Díaz, 2017a; and Macías-Díaz, 2017b). There are various definitions of fractional derivatives (de Oliveira and Machado, 2014). In this work, the Riesz spatial derivative is selected as it reduces to the standard second-order finite difference for the second-order derivative. Its effect with a non-sinusoidal current-phase relation is considered.

The paper is concerned with the Josephson junction parallel array model (Chevriaux et al., 2006). This model becomes, in the continuous limit, the sine-Gordon equation when damping is ignored. The paper shall initially examine the effect of spatial fractional derivatives on the single sine-Gordon model, double sine-Gordon model and triple sine-Gordon model and compare the results with those obtained when the non-sinusoidal current-phase relation is used in the sine-Gordon model. The paper then proceeds to examine the Josephson junction parallel array model with integer and fractional spatial derivatives.

Results with an initial spatial distribution and without an input are compared for the various models. The application of the Josephson array as a sensitive signal detector is also examined. The non-sinusoidal current-phase relation and the spatial fractional derivatives are both seen to have a significant effect on the behaviour, with each changing the nature of the response.

The paper is concerned with a Josephson junction parallel array of N junctions as described in (Chevriaux et al., 2006) and shown in Figure 1.

Figure 1.
An array of Josephson junctions with an input current and an output current.The circuit begins with input current I in entering section 1. A resistor R, a switch branch and a capacitor C connect in parallel between the upper and lower conductors. A series inductance L s connects section 1 to section 2. Section 2 repeats the parallel resistor R, switch branch and capacitor C. Dashed conductors indicate additional repeated sections. The final section is labelled N and contains the same resistor R, switch branch and capacitor C. An output resistor R out connects across the conductors at the right. Output current I out leaves along the upper conductor.

Josephson array

Source: Authors’ own work

Figure 1.
An array of Josephson junctions with an input current and an output current.The circuit begins with input current I in entering section 1. A resistor R, a switch branch and a capacitor C connect in parallel between the upper and lower conductors. A series inductance L s connects section 1 to section 2. Section 2 repeats the parallel resistor R, switch branch and capacitor C. Dashed conductors indicate additional repeated sections. The final section is labelled N and contains the same resistor R, switch branch and capacitor C. An output resistor R out connects across the conductors at the right. Output current I out leaves along the upper conductor.

Josephson array

Source: Authors’ own work

Close modal

Let JN={2,,N-1}

(1)

un(t) is the phase difference across the junction n. Iin is the input current to the array. Iout is the output current through an output resistor, Rout. ς is a damping parameter. k2 is related to the Josephson inductance, LJ. Ls is the inductance of the wires connecting the junctions.

In the continuous limit, the model for the chain leads to the damped sine-Gordon Equation:

(2)

For integer-order spatial derivatives, when damping is ignored, exact solutions of the undamped sine-Gordon equation exist as detailed in many sources for example (Liu et al., 2006) and (Zun-Tao et al., 2005) and (Sun, 2015).

When ς=0, k=1 the travelling wave solutions take the form as follows:

(3)

These are known as kinks for the positive sign and anti-kinks for the negative sign. v is the wave speed.

Another solution determined based on the work in (Sun, 2015) is as follows:

(4)

This solution is of interest as it is of similar form to a solution of the double sine-Gordon equation, which is of relevance when considering the inclusion of the second harmonic of the current-phase relation when modelling Josephson junctions.

The breather solution (Ferreira et al., 2008) takes the form of a soliton localised in space and oscillating in time as follows:

(5)

Its occurrence in long Josephson junctions is of significant research interest for potential applications in information processing (Fujii et al., 2008 and De Santis et al., 2022) and has been examined from a thermal transport perspective in De Santis et al. (2024). However, the experimental detection and stabilisation of breathers presents several challenges (e.g. De Santis et al., 2025).

Several past works, (e.g. Guarcello et al., 2025 and Canturk and Askerzade, 2011) have examined the effect of a second-order harmonic in the current-phase relation. In light of this, it is appropriate to consider the double sine-Gordon equation. This may be expressed as follows:

(6)

A,β are constants.

Its exact solution may be determined as in (Sun, 2015):

(7)

Q,k and c are constants.

Non-sinusoidal current-phase relations for the Josephson junction of the form as follows:

or that scaled by its maximum value as follows:

(8)

have been considered in (Guarcello et al., 2024) which follows from that considered in (Golubov et al., 2004). τ[0,1] is the transparency of the junction. Ic is the critical current of the Josephson junction.

When τ0, the relationship approaches sinusoidal behaviour. When τ1, the relationship deviates significantly from a purely sinusoidal nature. Figure 2 compares the scaled function with τ=0.1 and τ=0.9.

Figure 2.
Plots of the current-phase relation for tau values 0.1 and 0.9. It deviates from sinusoidal behaviour for tau values 0.1.The title is Current-Phase relation. The horizontal axis is u and ranges from 0 to 6.28. The vertical axis ranges from negative 1 to 1 in intervals of 0.2. The legend includes tau equals 0.1 and tau equals 0.9. Both curves begin at 0 and rise towards 1. The tau equals 0.1 curve peaks near u 1.6. The tau equals 0.9 curve peaks near u 2.1. Both curves cross 0 near u 3.1. The tau equals 0.9 curve reaches negative 1 near u 4.2. The tau equals 0.1 curve reaches negative 1 near u 4.7. Both curves then rise and approach values slightly below 0 near u 6.28.

Current-phase relation for different values of τ

Source: Authors’ own work

Figure 2.
Plots of the current-phase relation for tau values 0.1 and 0.9. It deviates from sinusoidal behaviour for tau values 0.1.The title is Current-Phase relation. The horizontal axis is u and ranges from 0 to 6.28. The vertical axis ranges from negative 1 to 1 in intervals of 0.2. The legend includes tau equals 0.1 and tau equals 0.9. Both curves begin at 0 and rise towards 1. The tau equals 0.1 curve peaks near u 1.6. The tau equals 0.9 curve peaks near u 2.1. Both curves cross 0 near u 3.1. The tau equals 0.9 curve reaches negative 1 near u 4.2. The tau equals 0.1 curve reaches negative 1 near u 4.7. Both curves then rise and approach values slightly below 0 near u 6.28.

Current-phase relation for different values of τ

Source: Authors’ own work

Close modal

To assess the effect of the non-sinusoidal relation, consider a Fourier expansion of the non-sinusoidal relation:

(9)

As τ1, the magnitude of the higher harmonics increases. Figure 3 compares the magnitude of the harmonics for τ=0.1 and for τ=0.9. In light of this, the sine-Gordon equation with multiple harmonics should be considered as follows:

(10)
Figure 3.
A 2-panel stem plot compares Fourier coefficient magnitudes for tau values 0.1 and 0.9 across m values 1 to 9.The upper panel is titled Magnitude of the Fourier coefficients for tau equals 0.1. The horizontal axis is m and ranges from 1 to 9. The vertical axis ranges from 0 to 1 in intervals of 0.1. The coefficient at m equals 1 is 1. The coefficient at m equals 2 is about 0.01. The coefficients from m equals 3 to 9 are near 0. The lower panel is titled Magnitude of the Fourier coefficients for tau equals 0.9. The horizontal axis is m and ranges from 1 to 9. The vertical axis ranges from 0 to 1 in intervals of 0.1. The coefficient at m equals 1 is about 0.97. The remaining coefficients decrease from about 0.24 at m equals 2 to about 0.09 at m equals 3, 0.04 at m equals 4, 0.02 at m equals 5, and values approaching 0 from m equals 6 to 9.

Variation in Fourier series coefficients with τ

Source: Authors’ own work

Figure 3.
A 2-panel stem plot compares Fourier coefficient magnitudes for tau values 0.1 and 0.9 across m values 1 to 9.The upper panel is titled Magnitude of the Fourier coefficients for tau equals 0.1. The horizontal axis is m and ranges from 1 to 9. The vertical axis ranges from 0 to 1 in intervals of 0.1. The coefficient at m equals 1 is 1. The coefficient at m equals 2 is about 0.01. The coefficients from m equals 3 to 9 are near 0. The lower panel is titled Magnitude of the Fourier coefficients for tau equals 0.9. The horizontal axis is m and ranges from 1 to 9. The vertical axis ranges from 0 to 1 in intervals of 0.1. The coefficient at m equals 1 is about 0.97. The remaining coefficients decrease from about 0.24 at m equals 2 to about 0.09 at m equals 3, 0.04 at m equals 4, 0.02 at m equals 5, and values approaching 0 from m equals 6 to 9.

Variation in Fourier series coefficients with τ

Source: Authors’ own work

Close modal

For example, the triple sine-Gordon equation is as follows:

(11)

Fractional spatial derivatives have been in use in quantum mechanics, for example, in the fractional Schrodinger equation (Saha Ray, 2018). The fractional derivative enables inclusion of non-local effects and is suitable for modelling long-range spatial interactions (Kirkpatrick et al., 2013). Various numerical methods have been proposed, for example (Shen and Wang, 2024), (Owolabi and Atangana, 2016) and (Papadopoulos and Olver, 2024).

As in (Macías-Díaz, 2017b), the Riesz fractional derivative is considered for the present work. The single undamped sine-Gordon equation becomes as follows:

(12)

The Riesz fractional derivative may be expressed as follows for 0<α2, α1:

(13)
(14)
(15)

Γ is the gamma function.

For α=1,

(16)

H is the Hilbert transform and p.v. is the principal value, (Macías-Díaz, 2017a).

In the Fourier domain, the Riesz fractional derivative is defined as follows:

(17)

Fω is the Fourier transform of ux,t. This property is used when performing the numerical simulations. The definition in (17) is valid for 0<α2 (Bayin, 2016).

For the Josephson junction array, the discrete Riesz spatial fractional operator (Macías-Díaz, 2017b) is defined as follows:

(18)

αj is the generalised binomial coefficient (Macías-Díaz, 2017a,b). When α=2, the integer second-order central difference approximation of the spatial derivative is obtained. The discrete Riesz spatial operator with 0<α<2 extends the second-order central difference to include global effects.

With the Riesz derivative, equation (1) becomes:

(19)

The solution of the sine-Gordon equation with multiple harmonics or with a different nonlinear current-phase relation may be determined numerically. In this contribution, the order-two Strang splitting method shall be used for numerical implementations. The splitting approach for solving sine-Gordon equations has been used in previous work, for example (Ham et al., 2022). A Fourier spectral method has been applied in (Zhen et al., 2026).

With Strang splitting, equations are separated into parts for which it is easier or more efficient to determine a solution. In relation to the sine-Gordon equations, it is appropriate to implement the spatial derivative in the Fourier domain and the nonlinear terms in the time domain using a numerical integrator such as the Runge-Kutta method. However, use of a Fourier basis does assume periodic solutions and this leads to oscillations in the solutions near the boundaries if boundary conditions are not periodic. Hence, the equations need to be modified to enable practical implementation with aperiodic boundary conditions.

Returning to equation (11), it is rearranged as follows:

(20)

and each part is solved separately. The first part is solved in the Fourier domain and the remaining part is solved in the time domain using the fourth-order Runge-Kutta method.

For practical implementations, the sine-Gordon equation is solved over a finite domain [-L/2,L/2]. To enable use of the Fast Fourier Transform, zero boundary conditions should be considered. To enforce zero boundary conditions, the following modification is implemented:

(21)

uL-vl- and uL+vl+ are the left and right boundary conditions.

Equation (20) is then transformed to as follows:

(22)

The Strang Fourier splitting method is applied to this equation and once u(x,t) is determined, ux,t follows from equation (21).

Consider the single sine-Gordon equation with an initial condition is as follows:

While theoretically, an infinite spatial domain is considered, for numerical computations L is taken as 80 and results are shown for x[-20,20]. The parameters are set as k=1 and c=910. The timestep for simulations is set at 0.005.

Figure 4 shows the phase at t=3, u(x,3), when the fractional spatial derivative α is varied from 1.6–2. Note that α=2 corresponds to the standard second-order derivative and the exact solution for α=2 is also shown.

Figure 4.
A line graph of u at x at time t=3 for alpha values from 2 to 1.6.The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes the exact solution for alpha equals 2 and approximate curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves transition sharply from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The exact solution and alpha equals 2 curve approach the upper level with little deviation. As alpha decreases, the curves rise earlier, overshoot more strongly near x negative 2, then fall below the upper level between about x 0 and 5 before gradually returning towards 3.1. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.0, and the deepest undershoot, reaching about 1.9.

Examination of the effect of a fractional spatial derivative

Source: Authors’ own work

Figure 4.
A line graph of u at x at time t=3 for alpha values from 2 to 1.6.The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes the exact solution for alpha equals 2 and approximate curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves transition sharply from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The exact solution and alpha equals 2 curve approach the upper level with little deviation. As alpha decreases, the curves rise earlier, overshoot more strongly near x negative 2, then fall below the upper level between about x 0 and 5 before gradually returning towards 3.1. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.0, and the deepest undershoot, reaching about 1.9.

Examination of the effect of a fractional spatial derivative

Source: Authors’ own work

Close modal

With the introduction of the fractional spatial derivative, there is a change in the rise time and the introduction of the oscillation is observed.

Now consider the case when a second harmonic is present. Consider equation (10) with b1 and b2 set equal to the first two Fourier coefficients of the Fourier series for the non-sinusoidal current phase in equation (9) with τ=0.9. This value of τ is selected to see the effect of a highly skewed current-phase relation. The initial condition remains the same.

Figure 5 shows the phase at t=3,u(x,3), when the fractional spatial derivative α is varied from 1.6–2. The result with for the single sine-Gordon equation with α=2 is also shown. An oscillation is evident in all cases with the second harmonic including when α=2. Comparing Figures 4 and 5, note that the second harmonic leads to oscillations of slightly greater amplitude – the maximum for α=1.6 increases from 4.03 to 4.13.

Figure 5.
A line graph of u at x at time t=3 with two harmonics for alpha values from 2 to 1.6.The title is Two harmonics. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference uses plus markers. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.1, and the deepest undershoot, reaching about 1.4. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the double sine-Gordon equation

Source: Authors’ own work

Figure 5.
A line graph of u at x at time t=3 with two harmonics for alpha values from 2 to 1.6.The title is Two harmonics. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference uses plus markers. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.1, and the deepest undershoot, reaching about 1.4. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the double sine-Gordon equation

Source: Authors’ own work

Close modal

Now consider the triple sine-Gordon equation. b1, b2 and b3 are the Fourier coefficients determined for the non-linear current expansion in equation (9) with τ=0.9. Figure 6 shows the results for the same initial condition. The extra harmonic results in increased oscillations. The maximum is 4.17 and the minimum of the α=1.6 oscillation is 1.18. Figure 7 shows the impact of fractional spatial derivatives on the result when the non-sinusoidal current-phase relation in equation (9) is used. While the minimum of the oscillations with the relationship in equation (9) has the lower value of 1.01, it is evident that the inclusion of three harmonics results in very similar oscillatory behaviour.

Figure 6.
A line graph of u at x at time t=3 with three harmonics for alpha values from 2 to 1.6.The title is Results with three Fourier harmonics. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference is marked with plus signs. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.2, and the deepest undershoot, reaching about 1.2. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the triple sine-Gordon equation

Source: Authors’ own work

Figure 6.
A line graph of u at x at time t=3 with three harmonics for alpha values from 2 to 1.6.The title is Results with three Fourier harmonics. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference is marked with plus signs. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.2, and the deepest undershoot, reaching about 1.2. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the triple sine-Gordon equation

Source: Authors’ own work

Close modal
Figure 7.
A line graph of u at x at time t=3 with a non-sinusoidal current-phase relation for alpha values from 2 to 1.6.The title is Non-sinusoidal Current Phase Relation. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference is marked with plus signs. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.2, and the deepest undershoot, reaching about 1.0. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the non-sinusoidal current-phase relation

Source: Authors’ own work

Figure 7.
A line graph of u at x at time t=3 with a non-sinusoidal current-phase relation for alpha values from 2 to 1.6.The title is Non-sinusoidal Current Phase Relation. The horizontal axis is x and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of x comma 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes sine of theta for alpha equals 2 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. All curves rise from about negative 3.1 to about positive 3.1 between x negative 5 and 0. The sine-based reference is marked with plus signs. As alpha decreases, the curves begin rising earlier, overshoot more near x negative 2, then fall farther below 3.1 between about x 0 and 5. The alpha equals 1.6 curve has the greatest overshoot, reaching about 4.2, and the deepest undershoot, reaching about 1.0. All curves gradually approach about 3.1 as x increases.

Effect of a fractional spatial derivative for the non-sinusoidal current-phase relation

Source: Authors’ own work

Close modal

Consider the Josephson junction array modelled using equation (19) with the fractional derivative implementation of equation (18). N=40 sections are used for comparative purposes with the sine-Gordon results in the previous section.

Figures 8 and 9 show the results when the sinusoidal and non-sinusoidal [equation (9)] current -phase relations with τ=0.9 are used. The general form of the results is similar in nature to those in Figures 4 and 7 for the sine-Gordon equation. However, an oscillation is present in all results in Figure 8 unlike the α=2 case for the sine-Gordon equation. The finite length of the Josephson junction array results in the variation at the end points.

Figure 8.
A graph of u at n at t = 3 for alpha values from 2 to 1.6 for a sinusoidal current phase relation.The horizontal axis is n and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of n comma t equals 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes u of n comma 0 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. The reference curve stays near negative 3.1, rises steeply between about n negative 2 and 1, then levels near 3.1. All alpha curves begin near negative 3, rise earlier, and peak near n negative 1 at about 4.4 to 4.6. They then decrease towards values near 3. The alpha equals 2 curve remains highest after the peak, near 3.1. Lower alpha values produce greater undershoot and stronger later variation. The alpha equals 1.6 curve falls to about 1.9 near n 2 and to about 2.1 near n 17 before rising slightly.

Josephson junction array results with a sinusoidal current-phase relation

Source: Authors’ own work

Figure 8.
A graph of u at n at t = 3 for alpha values from 2 to 1.6 for a sinusoidal current phase relation.The horizontal axis is n and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of n comma t equals 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes u of n comma 0 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. The reference curve stays near negative 3.1, rises steeply between about n negative 2 and 1, then levels near 3.1. All alpha curves begin near negative 3, rise earlier, and peak near n negative 1 at about 4.4 to 4.6. They then decrease towards values near 3. The alpha equals 2 curve remains highest after the peak, near 3.1. Lower alpha values produce greater undershoot and stronger later variation. The alpha equals 1.6 curve falls to about 1.9 near n 2 and to about 2.1 near n 17 before rising slightly.

Josephson junction array results with a sinusoidal current-phase relation

Source: Authors’ own work

Close modal
Figure 9.
A graph of u at n at t = 3 for alpha values from 2 to 1.6 for a nonsinusoidal current phase relation.The horizontal axis is n and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of n comma t equals 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes u of n comma 0 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. The reference curve stays near negative 3.1, rises steeply between about n negative 2 and 1, and then levels near 3.1. The alpha curves rise earlier and peak near n negative 1 at about 4.6 to 4.8. They then decrease below the reference level. The alpha equals 2 curve drops to about 2.4 near n 2 and returns to about 3.1 by n 6. Lower alpha values produce deeper and longer undershoots. The alpha equals 1.6 curve falls to about 1.0 near n 2, rises to about 2.5 around n 10, then drops again to about 1.5 near n 18 before rising slightly.

Josephson junction array results with a non-sinusoidal current-phase relation

Source: Authors’ own work

Figure 9.
A graph of u at n at t = 3 for alpha values from 2 to 1.6 for a nonsinusoidal current phase relation.The horizontal axis is n and ranges from negative 20 to 20 in intervals of 5. The vertical axis is u of n comma t equals 3 and ranges from negative 5 to 5 in intervals of 1. The legend includes u of n comma 0 and curves for alpha equals 2, 1.9, 1.8, 1.7 and 1.6. The reference curve stays near negative 3.1, rises steeply between about n negative 2 and 1, and then levels near 3.1. The alpha curves rise earlier and peak near n negative 1 at about 4.6 to 4.8. They then decrease below the reference level. The alpha equals 2 curve drops to about 2.4 near n 2 and returns to about 3.1 by n 6. Lower alpha values produce deeper and longer undershoots. The alpha equals 1.6 curve falls to about 1.0 near n 2, rises to about 2.5 around n 10, then drops again to about 1.5 near n 18 before rising slightly.

Josephson junction array results with a non-sinusoidal current-phase relation

Source: Authors’ own work

Close modal

One application of the Josephson array is as a sensitive signal detector (Chevriaux et al., 2006). To examine this application and the effect of additional harmonics and fractional spatial derivatives, consider the same array with a damping coefficient ς=0.1 and an input Iint=AsinΩt+s(t) where s(t) is the signal to be detected.

As an example, let A=0.5, Ω=0.9 and st=0.2cosh(0.1t-800).

s(t) corresponds to a pulse at t=800. Figure 10 shows the input current, Iin(t). Figure 11 shows the voltage at node N for a sinusoidal current-phase relation. The region where the pulse is detected is shown in more detail in Figure 12. While the steady-state is greater for α=2, the fractional derivatives delay the response to the pulse and dampen it.

Figure 10.
The input signal to the Josephson array with a rise near t=800.The plot is titled Input. The horizontal axis is time and ranges from 0 to 1,200 in intervals of 200. The vertical axis ranges from negative 0.6 to 0.6 in intervals of 0.2. A dense periodic waveform extends from time 0 to about 1,000. Its peaks remain near 0.5 and its troughs near negative 0.5 for most of the interval. Around time 800, the amplitude briefly increases. The upper peaks approach 0.6 and the lower troughs rise towards negative 0.4 before returning to the earlier range.

Input signal to the Josephson array

Source: Authors’ own work

Figure 10.
The input signal to the Josephson array with a rise near t=800.The plot is titled Input. The horizontal axis is time and ranges from 0 to 1,200 in intervals of 200. The vertical axis ranges from negative 0.6 to 0.6 in intervals of 0.2. A dense periodic waveform extends from time 0 to about 1,000. Its peaks remain near 0.5 and its troughs near negative 0.5 for most of the interval. Around time 800, the amplitude briefly increases. The upper peaks approach 0.6 and the lower troughs rise towards negative 0.4 before returning to the earlier range.

Input signal to the Josephson array

Source: Authors’ own work

Close modal
Figure 11.
The response at the Nth node – There are bursts near t = 70 and 870.The title is sinusoidal current phase. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 before a large damped oscillation from about t 55 to 130. The highest positive peaks are approximately 0.0059, 0.0055 and 0.0048. The lowest negative peaks approach negative 0.0059. Further damped oscillations occur from about t 140 to 280, with their timing and amplitudes varying by alpha. Smaller oscillations continue between about t 280 and 820. A final shared burst occurs from about t 845 to 920. Its positive peaks approach 0.002 and its negative peaks approach negative 0.002 before all curves decay towards 0.

Response at the Nth node - long view

Source: Authors’ own work

Figure 11.
The response at the Nth node – There are bursts near t = 70 and 870.The title is sinusoidal current phase. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 before a large damped oscillation from about t 55 to 130. The highest positive peaks are approximately 0.0059, 0.0055 and 0.0048. The lowest negative peaks approach negative 0.0059. Further damped oscillations occur from about t 140 to 280, with their timing and amplitudes varying by alpha. Smaller oscillations continue between about t 280 and 820. A final shared burst occurs from about t 845 to 920. Its positive peaks approach 0.002 and its negative peaks approach negative 0.002 before all curves decay towards 0.

Response at the Nth node - long view

Source: Authors’ own work

Close modal
Figure 12.
The response at the Nth node at time between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 8 times 10 to the power of negative 3 to 8 times 10 to the power of negative 3, in intervals of 2 times 10 to the power of negative 3. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate around 0. Their amplitudes increase from about t 845, become largest between about t 860 and 880, and then gradually decrease towards t 920. The alpha equals 2 curve reaches the largest magnitude, with peaks near plus or minus 2 times 10 to the power of negative 3 around t 865 to 870. The alpha equals 1.9 and alpha equals 1.8 curves have slightly smaller peaks and different phases.

Response at the Nth node - view of region where pulse is detected

Source: Authors’ own work

Figure 12.
The response at the Nth node at time between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 8 times 10 to the power of negative 3 to 8 times 10 to the power of negative 3, in intervals of 2 times 10 to the power of negative 3. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate around 0. Their amplitudes increase from about t 845, become largest between about t 860 and 880, and then gradually decrease towards t 920. The alpha equals 2 curve reaches the largest magnitude, with peaks near plus or minus 2 times 10 to the power of negative 3 around t 865 to 870. The alpha equals 1.9 and alpha equals 1.8 curves have slightly smaller peaks and different phases.

Response at the Nth node - view of region where pulse is detected

Source: Authors’ own work

Close modal

Figure 13 and 14 consider the same example. However, this time three Fourier harmonics of the non-sinusoidal current phase [equation (8)] are included. In this case, the steady-state response is much greater and the occurrence of the pulse is less visible. The input frequency Ω=0.9 is not in the forbidden gap. Note also the greater amplitude of the response as α decreases. However if Ω=0.6, the result is as in Figure 15 and 16 and the pulse is much more visible.

Figure 13.
The response at the Nth node with three harmonics.The title is Three Harmonics. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 until about t 55. Large transient oscillations occur from about t 55 to 160. The largest positive and negative peaks approach plus or minus 0.01. After about t 180, the curves settle into continuous high-frequency oscillations around 0. The alpha equals 1.8 curve has the greatest steady amplitude, near plus or minus 0.0068. The alpha equals 1.9 curve remains near plus or minus 0.0059. The alpha equals 2 curve remains near plus or minus 0.0054. The oscillations continue with nearly constant amplitude to t 1,000.

Response at the Nth node - three harmonics

Source: Authors’ own work

Figure 13.
The response at the Nth node with three harmonics.The title is Three Harmonics. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 until about t 55. Large transient oscillations occur from about t 55 to 160. The largest positive and negative peaks approach plus or minus 0.01. After about t 180, the curves settle into continuous high-frequency oscillations around 0. The alpha equals 1.8 curve has the greatest steady amplitude, near plus or minus 0.0068. The alpha equals 1.9 curve remains near plus or minus 0.0059. The alpha equals 2 curve remains near plus or minus 0.0054. The oscillations continue with nearly constant amplitude to t 1,000.

Response at the Nth node - three harmonics

Source: Authors’ own work

Close modal
Figure 14.
The response at the Nth node with three harmonics at time between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate regularly around 0 with similar periods and different phases. The alpha equals 1.8 curve has the largest amplitude, reaching about plus or minus 0.0068. The alpha equals 1.9 curve reaches about plus or minus 0.0060. The alpha equals 2 curve reaches about plus or minus 0.0055. The oscillations maintain nearly constant amplitudes throughout the interval.

Response at the Nth node - three harmonics- view of region where pulse is detected

Source: Authors’ own work

Figure 14.
The response at the Nth node with three harmonics at time between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate regularly around 0 with similar periods and different phases. The alpha equals 1.8 curve has the largest amplitude, reaching about plus or minus 0.0068. The alpha equals 1.9 curve reaches about plus or minus 0.0060. The alpha equals 2 curve reaches about plus or minus 0.0055. The oscillations maintain nearly constant amplitudes throughout the interval.

Response at the Nth node - three harmonics- view of region where pulse is detected

Source: Authors’ own work

Close modal
Figure 15.
The response at the Nth node with three harmonics when Ω = 0.6. There are bursts near t=70 and t=870.The title is Three Harmonics. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 before a large oscillatory burst begins near t 55. The first burst reaches about positive 0.004 and negative 0.0045, then decays by about t 120. Small regular oscillations continue around 0 from about t 120 to 820. A second burst occurs from about t 830 to 900. Its peaks reach about plus or minus 0.002 before decaying back towards the smaller oscillations.

Response at the Nth node - three harmonics - Ω=0.6

Source: Authors’ own work

Figure 15.
The response at the Nth node with three harmonics when Ω = 0.6. There are bursts near t=70 and t=870.The title is Three Harmonics. The horizontal axis is t and ranges from 0 to 1,000 in intervals of 100. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves remain near 0 before a large oscillatory burst begins near t 55. The first burst reaches about positive 0.004 and negative 0.0045, then decays by about t 120. Small regular oscillations continue around 0 from about t 120 to 820. A second burst occurs from about t 830 to 900. Its peaks reach about plus or minus 0.002 before decaying back towards the smaller oscillations.

Response at the Nth node - three harmonics - Ω=0.6

Source: Authors’ own work

Close modal
Figure 16.
The response at the Nth node with three harmonics when Ω = 0.6 between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate around 0. Their amplitudes increase from about t 840, reach the largest values between about t 855 and 875, and then decrease towards t 895. The alpha equals 2 curve reaches about positive 0.0019 and negative 0.0018. The alpha equals 1.9 curve reaches about positive 0.0016 and negative 0.0017. The alpha equals 1.8 curve reaches about positive 0.0016 and negative 0.0015. Smaller oscillations continue before and after the central burst.

Response at the Nth node - three harmonics- view of region where pulse is detected

Source: Authors’ own work

Figure 16.
The response at the Nth node with three harmonics when Ω = 0.6 between t=820 and t=920.The title is Three Harmonics. The horizontal axis is t and ranges from 820 to 920 in intervals of 10. The vertical axis is Voltage at node N and ranges from negative 0.01 to 0.01 in intervals of 0.002. The legend includes alpha equals 2, alpha equals 1.9 and alpha equals 1.8. All 3 curves oscillate around 0. Their amplitudes increase from about t 840, reach the largest values between about t 855 and 875, and then decrease towards t 895. The alpha equals 2 curve reaches about positive 0.0019 and negative 0.0018. The alpha equals 1.9 curve reaches about positive 0.0016 and negative 0.0017. The alpha equals 1.8 curve reaches about positive 0.0016 and negative 0.0015. Smaller oscillations continue before and after the central burst.

Response at the Nth node - three harmonics- view of region where pulse is detected

Source: Authors’ own work

Close modal

When the complete non-sinusoidal function is considered, the results are similar. These results clearly indicate that the current-phase relation has a significant effect on the response of a Josephson junction array. The forbidden gap changes. In addition, the fractional effects change the damping of the response.

The paper has explored the effects of fractional spatial derivatives and non-sinusoidal current-phase relations with regard to Josephson junction arrays. The given results indicate that both features affect the behaviour of the systems. The sine-Gordon equation is initially considered, as it models long Josephson junctions and Josephson arrays in the limiting case. The additional harmonics and fractional derivative result in non-monotonic and oscillatory behaviour when the evolution of an initial spatial distribution is considered. Oscillatory responses are also observed in the Josephson junction array. One application of the Josephson junction is as a sensitive signal detector. However, non-sinusoidal current-phase relations affect the range of input frequencies in the forbidden gap and the transient behaviour of a Josephson array and would need to be considered in the design of applications. Fractional derivatives affect the damping of the response.

Future work could include examination of different forms of non-sinusoidal functions, different types of fractional derivatives and the inclusion of noise.

Ali
,
I.
,
Rasheed
,
A.
,
Anwar
,
M.S.
,
Irfan
,
M.
and
Hussain
,
Z.
(
2021
), “
Fractional calculus approach for the phase dynamics of Josephson junction
”,
Chaos, Solitons and Fractals
, Vol.
143
, p.
110572
, doi: .
Antonini
,
G.
,
Dattoli
,
G.
,
Frezza
,
F.
,
Licciardi
,
S.
and
Loreto
,
F.
(
2021
), “
About the use of generalized forms of derivatives in the study of electromagnetic problems
”,
Applied Sciences
, Vol.
11
No.
16
, p.
7505
, doi: .
Askerzade
,
IN.
and
Salati
,
M.
(
2022
), “
The influence of anharmonic current-phase relation on penetration depth in long Josephson junction
”,
Advanced Physical Research
, Vol.
4
No.
1
, pp.
16
-
21
.
Atanasova
,
P.K.
,
Boyadjiev
,
T.L.
,
Shukrinov
,
Y.M.
and
Zemlyanaya
,
E.V.
(
2011
), “
Numerical modelling of long Josephson junctions in the frame of double sine-gordon equation
”,
Mathematical Models and Computer Simulations
, Vol.
3
No.
3
, pp.
389
-
398
, doi: .
Babenko
,
A.A.
,
Boaventura
,
A.S.
,
Flowers-Jacobs
,
N.E.
,
Brevik
,
J.A.
,
Fox
,
A.E.
,
Williams
,
D.F.
,
Popovic
,
Z.
,
Dresselhaus
,
P.D.
and
Benz
,
S.P.
(
2020
), “
Characterization of a Josephson junction comb generator
”,
2020 IEEE/MTT-S International Microwave Symposium (IMS)
, pp.
936
-
939
, doi: .
Bayin
,
S.S.
(
2016
), “
Definition of the riesz derivative and its application to space fractional quantum mechanics
”, doi: .
Bountis
,
T.
,
Cantisán
,
J.
,
Cuevas-Maraver
,
J.
,
Macías-Díaz
,
J.E.
and
Kevrekidis
,
P.G.
(
2025
), “
On the fractional dynamics of kinks in Sine-Gordon models
”,
Mathematics (Basel)
, Vol.
13
No.
2
, p.
220
, doi: .
Canturk
,
M.
and
Askerzade
,
IN.
(
2011
), “
Numerical study of Josephson junction qubits with an unharmonic Current-Phase relation
”,
IEEE Transactions on Applied Superconductivity
, Vol.
21
No.
5
, pp.
3541
-
3547
, doi: .
Chevriaux
,
D.
,
Khomeriki
,
R.
and
Leon
,
J.
(
2006
), “
Theory of a Josephson junction parallel array detector sensitive to very weak signals
”,
Physical Review B
, Vol.
73
No.
21
, p.
214516
, doi: .
Clarke
,
J.
and
Wilhelm
,
F.K.
(
2008
), “
Superconducting quantum bits
”,
Nature (London)
, Vol.
453
No.
7198
, pp.
1031
-
1042
, doi: .
de Oliveira
,
E.C.
and
Machado
,
J.A.T.
(
2014
), “
A review of definitions for fractional derivatives and integral
”,
Mathematical Problems in Engineering
,
Article ID 238459
, Vol.
2014
No.
1
.
De Santis
,
D.
,
Guarcello
,
C.
,
Spagnolo
,
B.
,
Carollo
,
A.
and
Valenti
,
D.
(
2022
), “
Generation of travelling sine-Gordon breathers in noisy long josephson junctions
”,
Chaos, Solitons and Fractals
, Vol.
158
, p.
112039
, doi: .
De Santis
,
D.
,
Spagnolo
,
B.
,
Carollo
,
A.
,
Valenti
,
D.
and
Guarcello
,
C.
(
2024
), “
Heat-transfer fingerprint of Josephson breathers
”,
Chaos, Solitons and Fractals
, Vol.
185
, p.
115088
, doi: .
De Santis
,
D.
,
Valenti
,
D.
,
Spagnolo
,
B.
,
Di Fresco
,
G.
,
Carollo
,
A.
and
Guarcello
,
C.
(
2025
), “
Noisy sine-Gordon breather dynamics: a short review
”,
Chaos, Solitons and Fractals
, Vol.
199
, p.
116641
, doi: .
English
,
C.D.
,
Hamilton
,
D.R.
,
Chialvo
,
C.
,
Moraru
,
I.C.
,
Mason
,
N.
and
Van Harlingen
,
D.J.
(
2016
), “
Observation of nonsinusoidal current-phase relation in graphene Josephson junctions
”,
Physical Review B
, Vol.
94
No.
11
, p.
115435
, doi: .
Fedorov
,
K.G.
and
Pankratov
,
A.L.
(
2007
), “
Mean time of the thermal escape in a current-biased long-overlap Josephson junction
”,
Physical Review B
, Vol.
76
No.
2
, p.
24504
, doi: .
Ferreira
,
L.A.
,
Piette
,
B.
and
Zakrzewski
,
W.J.
(
2008
), “
Wobbles and other kink-breather solutions of the sine-Gordon model
”,
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
, Vol.
77
No.
3 Pt 2
, p.
036613
, doi: .
Fujii
,
T.
,
Nishida
,
M.
and
Hatakenaka
,
N.
(
2008
), “
Mobile qubits in quantum Josephson circuits
”,
Physical Review B
, Vol.
77
No.
2
, p.
024505
, doi: .
Guarcello
,
C.
,
Barone
,
C.
,
Carapella
,
G.
,
Filatrella
,
G.
,
Giachero
,
A.
and
Pagano
,
S.
(
2025
), “
Effect of a second-harmonic current–phase relation on the behaviour of a Josephson traveling-wave parametric amplifier
”,
Applied Physics Letters
, Vol.
126
No.
16
, doi: .
Guarcello
,
C.
,
Barone
,
C.
,
Carapella
,
G.
,
Granata
,
V.
,
Filatrella
,
G.
,
Giachero
,
A.
and
Pagano
,
S.
(
2024
), “
Driving a Josephson traveling wave parametric amplifier into chaos: effects of a non-sinusoidal current–phase relation
”,
Chaos, Solitons and Fractals
, Vol.
189
, p.
115598
, doi: .
Guarcello
,
C.
,
Avallone
,
G.
,
Barone
,
C.
,
Borghesi
,
M.
,
Capelli
,
S.
,
Carapella
,
G.
,
Caricato
,
A.P.
,
Carusotto
,
I.
,
Cian
,
A.
,
Di Gioacchino
,
D.
,
Enrico
,
E.
,
Falferi
,
P.
,
Fasolo
,
L.
,
Faverzani
,
M.
,
Ferri
,
E.
,
Filatrella
,
G.
,
Gatti
,
C.
,
Giachero
,
A.
,
Giubertoni
,
D.
, …
Zannoni
,
M.
(
2023
), “
Modeling of Josephson traveling wave parametric amplifiers
”,
IEEE Transactions on Applied Superconductivity
, Vol.
33
No.
1
, pp.
1
-
7
, doi: .
Golubov
,
A.A.
,
Kupriyanov
,
M.Y.
and
Il’ichev
,
E.
(
2004
), “
The current-phase relation in Josephson junctions
”,
Reviews of Modern Physics
, Vol.
76
No.
2
, pp.
411
-
469
, doi: .
Ham
,
S.
,
Hwang
,
Y.
,
Kwak
,
S.
and
Kim
,
J.
(
2022
), “
Unconditionally stable second-order accurate scheme for a parabolic sine-Gordon equation
”,
AIP Advances
, Vol.
12
No.
2
, p.
025203
-
025203–025207
, doi: .
Kirkpatrick
,
K.
,
Lenzmann
,
E.
and
Staffilani
,
G.
(
2013
), “
On the continuum limit for discrete NLS with Long-Range lattice interactions
”,
Communications in Mathematical Physics
, Vol.
317
No.
3
, pp.
563
-
591
, doi: .
Kogan
,
E.
(
2022
), “
Josephson transmission line revisited
”,
Physica Status Solidi (b)
, Vol.
260
No.
3
, doi: .
Lischke
,
A.
,
Pang
,
G.
,
Gulian
,
M.
,
Song
,
F.
,
Glusa
,
C.
,
Zheng
,
X.
,
Mao
,
Z.
,
Cai
,
W.
,
Meerschaert
,
M.M.
,
Ainsworth
,
M.
and
Karniadakis
,
G.E.
(
2020
), “
What is the fractional Laplacian? A comparative review with new results
”,
Journal of Computational Physics
, Vol.
404
, p.
109009
, doi: .
Liu
,
S.
,
Fu
,
Z.
and
Liu
,
S.
(
2006
), “
Exact solutions to sine-Gordon-type equations
”,
Physics Letters A
, Vol.
351
Nos
1-2
, pp.
59
-
63
, doi: .
Macías-Díaz
,
J.E.
(
2017a
), “
Numerical study of the process of nonlinear supratransmission in riesz space-fractional sine-Gordon equations
”,
Communications in Nonlinear Science and Numerical Simulation
, Vol.
46
, pp.
89
-
102
, doi: .
Macías-Díaz
,
J.E.
(
2017b
), “
Persistence of nonlinear hysteresis in fractional models of Josephson transmission lines
”,
Communications in Nonlinear Science and Numerical Simulation
, Vol.
53
, pp.
31
-
43
, doi: .
Mares-Rincón
,
D.
,
Macías
,
S.
,
Macías-Díaz
,
J.E.
,
Guerrero-Díaz-de-León
,
J.A.
and
Bountis
,
T.
(
2025
), “
A discrete model to solve a bifractional dissipative Sine-Gordon equation: theoretical analysis and simulations
”,
Fractal and Fractional
, Vol.
9
No.
8
, p.
498
, doi: .
Owolabi
,
K.M.
and
Atangana
,
A.
(
2016
), “
Numerical solution of fractional-in-space nonlinear Schrödinger equation with the riesz fractional derivative
”,
The European Physical Journal Plus
, Vol.
131
No.
9
, p.
335
, doi: .
Papadopoulos
,
I.P.A.
and
Olver
,
S.
(
2024
), “
A sparse spectral method for fractional differential equations in one-spatial dimension
”,
Advances in Computational Mathematics
, Vol.
50
No.
4
, p.
69
, doi: .
Saha Ray
,
S.
(
2018
), “
An investigation on reliable analytical and numerical methods for the riesz fractional nonlinear Schrödinger equation in Quantum mechanics
”,
Numerical Methods for Partial Differential Equations
, Vol.
34
No.
5
, pp.
1598
-
1613
, doi: .
Shang
,
Y.
,
Yu
,
H.
and
Fei
,
W.
(
2013
), “
Design and analysis of CMOS-Based terahertz integrated circuits by causal Fractional-Order RLGC transmission line model
”,
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
, Vol.
3
No.
3
, pp.
355
-
366
, doi: .
Shen
,
M.
and
Wang
,
H.
(
2024
), “
An efficient spectral method for the fractional Schrödinger equation on the real line
”,
Journal of Computational and Applied Mathematics
, Vol.
444
, p.
115774
, doi: .
Sun
,
Y.
(
2015
), “
New exact traveling wave solutions for double sine–Gordon equation
”,
Applied Mathematics and Computation
, Vol.
258
, pp.
100
-
104
, doi: .
Wetzstein
,
O.
,
Ortlepp
,
T.
,
Uhlmann
,
H.F.
and
Toepfer
,
H.
, (
2011
), “
Experimental evaluation of the current-phase relation of a Josephson junction
”,
Compel
, Vol.
30
No.
4
, pp.
1404
-
1415
, doi: .
Zun-Tao
,
F.
,
Shi-Kuo
,
L.
and
Shi-Da
,
L.
(
2005
), “
Exact solutions to triple sine-Gordon equation
”,
Communications in Theoretical Physics
, Vol.
43
No.
6
, pp.
1023
-
1026
, doi: .
Zhen
,
L.
,
Jiang
,
L.
and
Chen
,
W.
(
2026
), “
Fourier spectral method for nonlinear Time-Fractional Sine-Gordon equations
”,
Mathematics (Basel)
, Vol.
14
No.
5
, p.
873
, doi: .
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