INDUCTIVE CUBIC NETWORKS OF
JOSEPHSON
JUNCTIONS
Roberto De Luca
The electrodynamic properties of cubic
networks of Josephson junctions are studied by means of a combined analytic and
numerical procedure. The full inductance matrix for the system is taken into
account and the dynamical equations for the phase differences across the
junctions are written in a compact matrix form. The general properties of the
resulting non-linear coupled differential equations are analyzed.
In order to study
the electrodynamic properties of the model shown in Fig.1, we develop a novel
analytic approach, by which we are able to write the dynamical equations of the
gauge invariant superconducting phase differences across the junctions in
vectorial form.
FIG.1 The inductive cubic network of
Josephson junctions.
Dynamical equation
for the superconducting phase differences
DJ(j)+IJ sinj=I (1)
where the vector j is taken as
follows:
j=(jx(0),jx(ay),jx(az),jx(ay+az),
jy(0),jy(ax),jy(az),jy(ax+az),
jz(0),jz(ax),jz(ay),jz(ax+ ay)) ,
and where DJ is the following linear operator [1]:
OJ(*)=(F0/2pR)d/dt(*. ).
The symbolic
notation of Eq.(1) assigns a precise
meaning to the sine term. Indeed, sinj is to be
though as the vector whose components are the quantities sinjx . Finally, the twelve components of the
vector I are the
branch currents in the cubic system.
Fluxoid
quantization for elementary loops [1]
(2p /F0)F = Fj +2p n (2)
where F is the flux vector with only five components,
given the null divergence of magnetic induction, F is a 5x12
matrix with elements 0, +1,-1, and n is a
vector with five integral components.
Classical
Electrodynamics
Loop-currents vs.
branch currents
I = -FI (3)
where the loop
current vector I has five components Imn (r) , r being the position of the loop in space.
Flux-current
relations
F=fext G+MI (4)
where fext =m0Ha2, H being the amplitude of the applied magnetic
field, G is the five-component vector defining the
direction in which the file is applied and M is the
mutual inductance matrix [2].
Kirchhoff’s law of
currents
I=TJ-IB (5)
where T is a 12x5
matrix with elements 0, +1,-1, J is a vector having as components five independent branch currents
and IB
is the bias-current
vector with twelve components.
By combining the
above equations we can write the dynamical equations for the superconducting
phase differences as follows:
dj/dt+sinj+(1/2pb)Aj=f (6)
where A=LT(FT)-1G-1F
, L being the self-inductance coefficient relative to a single branch
of the network, and f is the forcing term containing information on
the field amplitude, on the field direction, on the bias current intensity and
on the initial magnetic state of the system. In Eq. (6) b=LIJ/F0 and t=2pRIJt/F0 .
The above set of
non-linear first-order ordinary differential equations is seen to be formally
identical to that obtained for a d.c. SQUID when the same matrix approach is
used for the latter. Therefore, the same type of concepts, which apply to d.c.
SQUID's, may be adopted in this more complex case.
Periodicity of the
branch voltages with respect to time
It can be proven
that, when the junctions are in the running state, the voltage across the
branch containing the junction shows periodicity with respect to time.
In Fig. 2 we show
the voltages across all the branches in the network for b=0.1 and for fex=0.
FIG.2 Branch voltages for b=0.1
and for fex=0. The bias current is 3.5 IJ, so that
some JJ’s are in the running state, some still in the zero-voltage state.
In Fig. 3a, 3b, 3c
we show the voltages across the branches lying in the x, y, and z
direction, respectively, for b=0.1 and for fex=0.2.
FIG.3a Voltages across branches lying
in the x direction for b=0.1 and for fex=0.2. The bias current is 3.5IJ. The upper
curves are for JJ’s on the branches at position r=0 (full
line) and at r=ay+az (dashed line), while
the lower curves are for JJ’s on the branches at position r=ay
(dashed line) and at r=az (full line).
FIG.3b Voltages across branches lying
in the y direction for b=0.1 and for fex=0.2. The bias current is 3.5IJ. The upper
curves are for JJ’s on the branches at position r=ax+az
(dashed line) and at r=0 (full line), while the lower
curves are for JJ’s on the branches at position r=ax
(dashed line) and at r=az (full line).
FIG.3c Voltages across branches lying
in the z direction for b=0.1 and for fex=0.2. The bias current is 3.5IJ. The upper
curves are for JJ’s on the branches at position r=0
(dashed line) and at r=ax+ay (full line),
while the lower curves are for JJ’s on the branches at position r=ax
(dashed line) and at r=ay (full line).
Periodicity of the
observable voltages with respect to the applied flux
It can be also
proven that the time-averaged voltage across the branches are periodic with
respect to the applied flux number Yex=Fex /F0 (with period DYex)if the magnetic field is oriented along a direction h=(cosgx,cosgy,cosgz) satisfying the
following relations:
cosgx DYex = i ; cosgy DYex = j; cosgz DYex = k , where i, j, k are integers, so
that the period can be found to be DYex = ( i2+j2
+k2)1/2 .
It is possible to make a systematic study of the
periodicity of the observable voltages with respect to the applied flux number.
Here we give only an example of how it can be detected numerically.
Take, for example, the field applied along the z
axis. Then i=j=0 and k=1, so that DYex = 1.
FIG.4 left/right Average
voltages across all the branches in the network when the magnetic field is
applied along the z direction. Hereb=0.1
(left) and b=0.2
(right) and the bias current is 3.5IJ.
Take, as another example, the field applied at 45°
with respect to the z axis in the y-z plane. Then i=0 and j=k=1,
so that DYex = 21/2.
FIG.5 Average voltages across all the
branches in the network when the magnetic field is applied along the (0,1,1)
direction. Hereb=0.1 and the bias current is 3.5IJ.
Again, we can consider the field applied along the
cube diagonal. Then i=j=k=1, so that
DYex = 31/2.
FIG.6 Average voltages across all the
branches in the network when the magnetic field is applied along the (1,1,1)
direction. Hereb=0.1 and the bias current is 3.5IJ.
REFERENCES
[1] A.
Barone and G. Paternň, Physics and applications of the Josephson effect
(Wiley, New York, 1982).
[2] R. De Luca, T. Di Matteo, A. Tuohimaa and
J. Paasi, Phys. Rev. B 57, 1173 (1998).