
2
step that defines the superconducting electrode. The widths of
the resulting superconductor-graphene interfaces are 0.5 and
1µm. The normal contacts (yellow) are thermally evaporated
Cr/Au. The electron density inside the graphene is controlled
by applying a voltage VGto the graphite gate which spans
the whole area underneath the heterostructure. While such
graphite gates are known to efficiently screen the disorder po-
tential, the results here are similar to our previous measure-
ments of samples without the graphite gate. This indicates that
the observed physics is not strongly influenced by the disorder
in the graphene layer.
We measure the nonlocal resistance downstream of a
grounded superconducting contact, Rd=dVd/dI, as
sketched in Fig. 1b and demonstrated in the supplemen-
tary [29]. The CAES formed by the superconductor travel
along the interface and recombine into either an electron or
hole (or their linear combination) at the end of the inter-
face. Sweeping the gate voltage VGon top of the QH plateau
tunes the momentum difference between the interfering CAES
and produces an oscillating pattern of Rd(VG)(Fig. S1 in
[29]) [12]. Due to the disordered nature of the interface, these
interference patterns are highly irregular and resemble the uni-
versal conductance fluctuations [22, 23]. Throughout the pa-
per we analyze the statistical properties of these patterns.
We further convert Rdinto the difference between the prob-
abilities of normal and Andreev reflections, Peh ≡Pe−Ph,
where Pe(Ph) is the probability of an electron (or a hole) to
be emitted downstream of the superconductor. It is straight-
forward to show that Peh =Rd/(Rd+RH), where RHis the
Hall resistance [12]. Note that the extreme values of Rdare
reached either for the pure electron reflection (Pe= 1,Ph= 0
and Rd=∞, the interface is effectively fully opaque), or for
perfect Andreev conversion (Pe= 0,Ph= 1,Rd=−RH/2,
a Cooper pair is transferred across the interface per incom-
ing electron). We therefore expect that the distribution of Rd
should be skewed toward positive resistances.
Indeed, this skewness can be observed by studying an im-
balance between the maximum and minimum values of the
downstream resistance Rd(VG). We extract these quantities
in the VGrange corresponding to the ν= 2 plateau for a
given field and then plot Rmax and Rmin as a function of B
in Fig. 1c. The field changes the vortex configuration every
few mT [12], thereby allowing us to sample multiple different
patterns of Rd(VG). The data clearly shows that Rmax is on
average larger than |Rmin|. The apparent imbalance between
electrons and holes is eliminated by converting Rdto Peh in
Fig. 1c. (See Fig. S3 in [29] for the similar result measured
in another device.) We conclude that the probabilities of an
electron or a hole being emitted downstream (Peand Ph) are
very similar. From now on, we present Peh in lieu of Rd.
Depending on the length of the interface, the highest
electron-hole conversion efficiency we observe is about 0.2
– 0.3. While being very high, this value is still far from reach-
ing unity. Thermal smearing, decoherence and tunneling into
the normal vortex cores can all contribute to this suppression.
Since at zero temperature only the effect of the vortices re-
FIG. 2. (a) Peh measured for the 0.5 µm interface as a function of
VGon top of the ν=2 plateau at B=2.2 T. The temperature is
varied from the base temperature of 40 mK to about 670 mK. (b)
The standard deviation of Peh of the 0.5 µm (filled triangle) and 1
µm (open circle) interfaces as a function of temperature at various
magnetic fields. The inset plots the decay constant T0obtained from
exponential fits vs. the magnetic field. The lines represent the aver-
ages of the dots.
mains, we first look into the dependence of Peh on tempera-
ture. Fig. 2a plots Peh of the shorter interface (0.5 µm) mea-
sured over the ν=2 plateau at B=2.2 T from 40 mK to
670 mK. As the temperature Tincreases, Peh gradually de-
cays towards zero, except around 400 mK where the traces
briefly jump to a completely different oscillation pattern. We
attribute this jump to a temporary change of the configuration
of superconducting vortices during the measurement.
To get a quantitative understanding of the thermal effects,
we plot the standard deviation of the traces, σ, as a function
of temperature in Fig. 2b for both interfaces at various mag-
netic fields. The filled triangles (open circles) represent L=
0.5 µm (1 µm). The green triangles correspond to the data in
Fig. 2a. We find an exponential decay of σas a function of
temperature, i.e. σ∝exp(−T/T0), where T0is the decay
constant. Remarkably, σfollows roughly the same decay rate
for a given interface length. Even the curves of Fig. 2a which
experienced a random jump follow the same slope. (Note the
few green symbols nearly overlapping with the purple ones
around 0.4 K.) This means that the configuration of supercon-
ducting vortices does not have a strong influence on the tem-
perature dependence, even if it dramatically affects the ampli-
tude and the pattern of fluctuations!
The exponential decay is observed regardless of the length
of the interface and the magnetic field. For the longer in-
terface, the decay rate becomes less steep at higher temper-
atures, but only as the signals approach the noise floor of a
few ×10−3, so we extract the slope from the low-temperature
range. In the inset of Fig. 2b, we plot the resulting T0vs. B
for L=0.5 and 1 µm. It is clear that T0does not show any
strong dependence on Band scales inversely with L.
In principle, the exponential temperature dependence could