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Formulation of the Model and General Solution

  figure374
Figure:   A simple model circuit for estimation of transients in an RSFQ biasing line.

To illustrate the basic limits on power consumption in RSFQ circuits we consider a simple model circuit (Fig. gif). It has all the main features of a typical DC bias line in RSFQ technology: a biasing resistor r with inductance l establishes current picked up from the current distribution line with inductance L between two neighboring taps. Influence of SFQ switching events in Josephson junctions on the biasing circuit is modeled by voltage sources tex2html_wrap_inline1893 which we assume to be a given set of functions, independent of the processes in the biasing line. This assumption is valid as long as junctions are biased well inside the working region (gif) and variations of the bias currents are small enough to keep the transient dynamics of the junctions unchanged. With these simplifications we get a translationally invariant linear system which can be solved analytically for any combination of functions tex2html_wrap_inline1893 , for any finite (as well as an infinite) number of junctions.

Voltage drop tex2html_wrap_inline1897 between point A and ground in Fig. gif can be found in two ways. First,

  equation381

here dot over tex2html_wrap_inline1899 stands for time derivative. Second,

  equation385

which is true for the ``A-B-ground'' contour to the right of point A. From (gif) and (gif) we get

  equation396

Repeating the same procedure for the contour to the left of point A and excluding currents tex2html_wrap_inline1901 and tex2html_wrap_inline1903 with the help of the charge conservation law

equation407

we get our main recursive equation for the currents tex2html_wrap_inline1899 :

  equation410

We are going to solve the system of linear differential equations (gif) for the simplest case of infinite number of junctions when boundary conditions in the system are not important. If necessary, corrections for the finiteness of the total number of junctions in the biasing line will be introduced. We will also assume that parameters of the biasing line are such that the switching time tex2html_wrap_inline1705 of the junction is much smaller than all the characteristic times of the problem (l/r and L/r). In this case junction number n=0 switching at the moment of time t=0 can be modeled by

  equation423

Here tex2html_wrap_inline1917 is the Dirac's delta-function and tex2html_wrap_inline1919 is the Kroneker symbol. Simultaneously, solution of the system (gif) with the right-hand side in the form of (gif) gives us the Green's function of the problem and solution for an arbitrary set of functions tex2html_wrap_inline1893 can be constructed in the usual way. (This includes the case when switching time tex2html_wrap_inline1705 is not negligibly small.) Linear system (gif) is solved by making a Fourier transform:

  equation431

and observing that for tex2html_wrap_inline1893 in the form (gif) we have

  equation440

Plugging (gif) and (gif) into (gif) we get a set of independent differential equations

  equation451

with the initial condition

  equation456

In view of (gif) this initial condition simply states that all currents tex2html_wrap_inline1899 were 0 before junction n=0 switched at the moment of time t=0.

Solution of (gif) with initial condition (gif) is given by

  equation462

Here we introduced the parameter

  equation469

which gives the decay time of a wave with wave vector k, and tex2html_wrap_inline1937 is the step function:

equation476

Plugging (gif) back into (gif) we get our final solution of the system (gif) with driving voltage tex2html_wrap_inline1893 in the form (gif):

  equation484

Transformation to the case of a finite number of junctions N in Eq. (gif) is done by the usual rule:

align496

Generalization for the case of a 2-dimensional biasing line is also straightforward. Next, we are going to discuss Eq. (gif) in the two limiting cases: tex2html_wrap_inline1943 and tex2html_wrap_inline1945 .


next up previous contents
Next: Case Up: Simple Model of an Previous: Simple Model of an

Alexander Rylyakov
Fri May 23 18:57:25 EDT 1997