Superconducting Technology Assessment - nitrd
Superconducting Technology Assessment - nitrd
Superconducting Technology Assessment - nitrd
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B. Yield<br />
Yield measurements are an important part of any manufacturing<br />
process [95]. Several parts, including wafer fabrication<br />
yield, parametric test yield, functional test yield, and packaging<br />
yield factor in overall product yield. Of these, wafer<br />
fabrication yield is the easiest to measure. Parametric test<br />
yield is being addressed through the use of standard test vehicles<br />
as described previously. Quantitative estimates of functional<br />
test yield may be difficult because it requires enough<br />
resources to test a large quantity of circuits of a given type<br />
to establish reliable yield statistics. Ideally, measured circuit<br />
yield can be correlated with parametric test yield and used<br />
to project yield of more complex circuits [96]–[98]. Testing<br />
at speed is also important because margins may be strong<br />
functions of frequency over some range. Packaging yield is<br />
important in the production of products or systems and will<br />
become more important as the superconductor electronics<br />
community fields more products based on active circuits.<br />
Although parameter variations are known, little work<br />
has been done in superconductor electronics in the area of<br />
yield assessment. Since it is difficult to determine circuit<br />
yield from measurements of discrete device components,<br />
one would ideally develop a product-oriented yield vehicle<br />
that will allow a better understanding of the process yield,<br />
to correlate its yield with PCM measurements of spreads,<br />
etc., and to predict yield on future products. Several yield<br />
vehicles such as RAM [99] and shift registers [91], [98] have<br />
been developed to provide this type of information.<br />
In the absence of more extensive yield data, one can nevertheless<br />
make projections about the effects of defect density<br />
and its effect on die yield by leveraging the yield models<br />
developed for the semiconductor industry. These models are<br />
directly applicable to superconductor electronics because the<br />
fabrication processes are similar. The relationship between<br />
yield and defect density is based on the model<br />
AD , where is the defect sensitive area, is defect<br />
density, and describes how the defects tend to cluster on<br />
the wafer [95]. For a given defect density, smaller area chips<br />
will have a higher yield than larger area chips. Estimates for<br />
present defect densities are 1 or 2 defects/cm and 0.5<br />
(defects clustered toward the edges of the wafer). Based on<br />
this model, it is clear that defect density is an important consideration<br />
for high yield. NGST concluded, after a major effort<br />
to reduce gross visual defects, that most defects were<br />
induced by process tools and not by the fabrication facilities<br />
that were already operating at class 10 or better. Further<br />
reductions in defect density would require cleaner process<br />
tools.<br />
VI. PROCESS BENCHMARKING: STATIC DIVIDER<br />
PERFORMANCE<br />
The maximum operating speed of the toggle flip-flop<br />
(TFF) has become the standard measure or benchmark used<br />
to compare superconductor integrated circuit fabrication<br />
processes [18], [100], [101]. The TFF also has been used<br />
to compare the performance of semiconductor processes<br />
Fig. 14. Maximum reported TFF divider speed � versus<br />
t for trilayers from HYPRES, NGST, and SUNY. The numbers<br />
adjacent the to NGST points indicate the optimum s ‚ product<br />
of the shunted junctions used in the TFF. Also, shown is the<br />
projected divider speed of $450 GHz for the next-generation<br />
20-kA/cm process.<br />
[102], but it is important to distinguish between true “static”<br />
divide-by-two operation from narrow band operation, which<br />
often results in inflated claims of switching speed. True static<br />
divide-by-two operation means that a well-designed TFF<br />
operates correctly from near dc to its maximum reported<br />
frequency without adjusting its bias point. The near-dc frequency<br />
response is necessary if the gate is to function with<br />
arbitrary data which may have long strings of logical zeros or<br />
ones. Superconductor integrated circuit fabrication process<br />
benchmarks or maximum TFF speeds are based on the more<br />
stringent measurements of static divider performance.<br />
The NGST standard benchmark circuit is a 12-stage static<br />
divider that consists of an on-chip voltage-controlled oscillator<br />
(VCO) (a dc SQUID with damped junctions) and a 12-b<br />
TFF counter chain. Each stage of the counter chain uses of<br />
a symmetric four-junction TFF with symmetric current bias<br />
and a separate magnetic flux bias, which is described elsewhere<br />
[103]. The last two bits of the counter chain have<br />
self-resetting junction outputs that can be counted by a room<br />
temperature electronic frequency counter.<br />
The circuit parameters are chosen to optimize operating<br />
margin and yield at high speed. The design of the NGST<br />
static divider uses junctions that are slightly underdamped. 1<br />
The maximum divider speeds achieved are just above<br />
200 and 300 GHz for the 4-kA/cm and 8-kA/cm processes,<br />
respectively. These results along with results from<br />
HYPRES and SUNY for other ’s are shown in Fig. 14.<br />
The maximum divider speed scales approximately<br />
as kA/cm GHz to about 50 kA/cm , above<br />
which the speed saturates at a frequency corresponding to<br />
the gap frequency for Nb. There is good agreement among<br />
the different niobium trilayer processes shown in Fig. 14.<br />
Details of the divider speed measurements and characterization<br />
can be found in [18], [59].<br />
1 For the 8-kA/cm process, s ‚ aIXHS mV for a Stuart–McCumber<br />
parameter @ AaPXS and for 4-kA/cm Ys ‚ aHXU mV, and aPXH.<br />
1528 PROCEEDINGS OF THE IEEE, VOL. 92, NO. 10, OCTOBER 2004