
3
by one electron due to the presence of the other. We
perform three-dimensional electrostatic simulations [25]
taking into account the geometry and electronic prop-
erties of the presently investigated nanoscale device –
see Methods. For the sake of simplicity, we consider
a symmetric configuration of the surface gate voltages
(VU=VL=−1.00 V and VB=−1.15 V). Figure 4b
shows the result of an electrostatic simulation (dotted
line) by adding the density of an electron-charge in the
lower or upper rail. We observe that the double-well
potential is tilted by the presence of the electron with
an induced asymmetry of 3.7 meV, which can be repro-
duced by considering an effective gate-voltage detuning
δ≈18.5±0.4 mV (solid line). Therefore, these numeri-
cal results indicate that the electron in the lower rail (L)
experiences a potential landscape that is effectively de-
tuned due to the presence of the electron in the upper
rail (U), and vice versa.
To model the two-electron partitioning process with
interaction, we include such a reciprocal electron-gating
effect (parameterized by δ) in the single-electron parti-
tioning distribution (see Eq. 1) as Pi→j(∆ ±δ) where
i, j ∈[U,L]. In combination with the Bayes’ theorem,
we derive – see Appendix C – the following expression:
P20(∆) = PL→L(∆ + δ)·PL→L(∆ −δ)
PL→L(∆+δ)
PU→L(∆+δ)+PL→L(∆ −δ)−PL→L(∆ + δ),
(2)
which allows us to construct P02(∆) and P11(∆). The
solid lines shown in Fig. 4a indicate the courses of P20,
P11 and P02 resulting from Eq. 2 with δ= 18.5 mV,
and PL→Land PU→Lextracted from the individual non-
interacting partitioning data. Since the Bayesian model
is solely based on electrostatics, the excellent agreement
with the experimental data without adjustable parame-
ters indicates that the Coulomb interaction is the ma-
jor source of the increased antibunching probability. We
further verify this conclusion by performing exact diago-
nalization calculations – see Appendix D – in which the
long-range Coulomb repulsion is taken into account, and
find a good quantitative agreement both on the increased
antibunching probability and on the increased transition
width.
Having identified Coulomb interaction as the main
cause of antibunching for a specific configuration, we now
check whether this assertion also holds when the barrier
potential is changed. For this purpose, we investigate
the antibunching probability P11 at a symmetric detun-
ing (∆ = 0) as a function of the barrier gate voltage
VB(see Fig. 5a). Focusing on the non-interacting case
(semi-transparent data), increasing the barrier height
(VB<−1.15 V) reduces the transmission of each elec-
tron to the opposite channel, leading to a gradual in-
crease of P11 above 50% and up to 100% when both
rails are fully separated. This regime of barrier volt-
ages with progressively decoupled rails is therefore not
suitable to investigate the influence of the electron-pair
interaction solely. When the electron pair is transported
synchronously (black data), we observe a similar increase
of P11 in this regime starting from the optimal value
of 80% discussed previously. For lower barrier heights
(VB>−1.15 V; grey area), the antibunching probabil-
ity P11 decreases gradually below 80% while the non-
interacting data is saturated at 50%. To model this de-
pendence on the barrier height, we extract the Coulomb-
equivalent detuning δfrom two-electron partitioning ex-
periments performed at three different barrier voltages
VB∈ {−1.150,−1.125,−1.100}V (see Appendix E). Us-
ing a linear course of δ(VB), the simulation from the
Bayesian model (red) shows excellent agreement with the
experimental data. The quantitative comparison indi-
cates that Coulomb interaction is dominant for a wide
range of barrier voltages.
Next, we address the question of what limits the max-
imum observed antibunching probability at P11 ≈80%.
A possible explanation could be the occupation of ex-
cited states by the flying electrons [22]. If their energy
overcomes the Coulomb repulsion, P11 is expected to be
reduced. To check this possibility, we numerically inves-
tigate the effect of excitation in the antibunching process
using the Bayesian model – see Appendix F. We find that
P11 is expected to exceed 99% if the effective thermal ex-
citation of the electron is reduced from the present 3 meV
to below 1 meV.
For the implementation of the two-qubit gate with fly-
ing electrons [7, 8, 26], let us estimate the extent of the
reciprocal phase shift, ϕ=UC·t/~, induced on the wave-
functions of the electron pair after an interaction time t.
The energy due to the Coulomb interaction is represented
here as UC(r) = e2
4πε0εr
1
rwhere ris the distance between
the two electrons, ε0is the vacuum permittivity and
εr= 12.88 is the dielectric constant of GaAs. From po-
tential simulations, we extract a distance of r≈230 nm,
which gives a Coulomb energy UC≈0.5 meV. Consid-
ering the SAW velocity vSAW ≈2.86 µm/ns, we expect
a phase rotation ϕ=π(Bell state formation) over a
propagation distance l=π~vSAW/UC≈12 nm. This es-
timation shows that in-flight Coulomb interaction within
a TCW introduces a significant reciprocal phase shift ca-
pable of entangling the orbits in a SAW-driven single-
electron circuit.
In conclusion, we have demonstrated the controlled in-
teraction between two single flying electrons transported
by sound. This has been achieved through the imple-
mentation of the HOM interferometer with a circuit of
coupled quantum rails. Synchronising the transport of
a pair of individual electrons, we witnessed single-shot
events of fermionic antibunching. To address the under-
lying mechanism, we performed quantitative electrostatic
simulations, and observed a reciprocal electron-gating ef-
fect. Developing a Bayesian model, which contains no
adjustable parameter, we showed quantitative agreement
with the entire set of two-electron collision data. This
provides strong evidence that the observed antibunch-
ing is mediated by Coulomb repulsion. Further estimat-
ing the strength of this Coulomb interaction, we high-