
3
observe all 17 products with total order Ot= 3 or 5 and
several products with Ot= 7 above the noise floor of
−160 dBm (at the output of the TWPA). Potential in-
termodulation products of even total order fall outside
the acquisition bandwidth in our setup. The presence
of all the intermodulation products implies that there
are no selection rules determining which intermodulation
products can be created, other than the parity of Ot.
While the allowed total orders are determined by the
order of the mixing process, the power level of the in-
termodulation product is mostly determined by the sig-
nal order Os=Pi|ni|, as we will see below. The in-
termodulation products of Os= 1, 2, 3, and ≥4 are
highlighted in Fig. 2 (a) in green, red, blue, and yellow,
respectively. Each intermodulation product also appears
mirrored around the local oscillator frequency due to im-
perfections of the frequency down-conversion process.
Next, we investigate the power of the intermodulation
products P. We fix the frequency ω1/2π= 7.5551 GHz,
as indicated by the linecut in Fig. 2 (b), and vary the
input powers p1and p2= 0.5p1of the two signals, chosen
such that the output powers are similar. We record the
power Pof the intermodulation products of Os≤3, see
Fig. 2 (c), and find that they follow power laws with the
signal order Osas the exponent as long as the amplifier is
not saturated. Comparing the powers of different Os= 3
products, we find that they can be of similar magnitude
even for different Otvalues. The observed power-laws
together with the data from independent power sweeps
of the two tones (see Appendix C) motivate an empirical
model of the output power
P=GpIP Y
ipi
pIP |ni|
.(1)
The model is parametrized by the mean gain Gand the
intermodulation distortion intercept point pIP [34], i.e.,
the input power level at which the extrapolated inter-
modulation product power equals the signal power. Us-
ing the average gain of the two signals G= 17.2(13) dB,
we calculate pIP for each intermodulation product ac-
cording to Eq. (1) at input power p1=−106 dBm, which
is significantly below the saturation power. We find a
mean second order intercept point pIP2 =−91(3) dBm
(for Os= 2) and a mean third order intercept point
pIP3 =−88(3) dBm (for Os= 3), see dashed gray lines in
Fig. 2 (c) calculated according to Eq. (1) and the mean
pIP values. The uncertainties indicate one standard devi-
ation of the spread over different intermodulation prod-
ucts. The pIP values, visualized as the intercepts of the
gray dashed lines with the solid gray line (mean signal
power) in Fig. 2 (c), are close to the 1 dB compression
power p1dB =−96.7(23) dBm (see Appendix D). The
power differences between intermodulation products of
the same signal order might be due to differences in the
conversion rates or due to the frequency-dependence of
the gain.
We can use a simple model to describe the relation be-
tween the 1 dB compression power p1dB and the third or-
FIG. 3. (a) Change in the signal gain Gand noise power
Sas a function of applied power pΣand number of signal
tones N, compared to the single-signal (N= 1), low-power
(pΣ=−126 dBm) values. (b) Change in measurement ef-
ficiency ηrelative to the single-signal, low-power value ηref .
The intersection points of the gray lines indicate the 1 dB gain
loss in panel (a) and 1 dB efficiency loss in panel (b).
der intermodulation intercept power pIP3. In the lowest-
order series expansion that can explain four-wave mix-
ing, we write the output voltage of the amplifier as
Vout =√GVin1−kV 2
in, for input voltage Vin and a co-
efficient kwhich determines both saturation and inter-
modulation properties of the amplifier. From this model,
we find pIP3/p1dB = 9.6 dB [34], similar to the observed
pIP3/p1dB = 9(4) dB. We therefore expect that the in-
termodulation distortion intercept powers increase if the
1 dB compression power of the amplifier is increased.
III. IMPLICATIONS FOR MULTIPLEXED
READOUT
We assess the impact of intermodulation distortion on
the performance of frequency-multiplexed qutrit readout
using the device presented in Krinner et al. [30]. Specif-
ically, we study how frequency multiplexing affects the
signal-to-noise ratio, and how intermodulation products
can lead to crosstalk and increased readout errors.
To investigate the performance of the TWPA in the
presence of multiple input tones, we apply 31 dif-
ferent subsets of five frequency components ωi/2π=
{7.5551,7.1924,7.3725,6.979,6.76076}iGHz that could
be used for multiplexed readout of five qubits. We scale
the power of the all the applied tones by a common factor
and record time traces. We calculate the signal gain as
Gi=|hAii|2/piand noise as Si=|Ai|2−|hAii|2, where
Aiis the integrated amplitude of the timetrace, down-
converted from frequency ωi,piis the applied power,
and the averaging is done over 210 acquired time traces.
To find the average signal gain and noise for a given de-
gree of multiplexing N, we average Giand Siover all
the frequency components iand subsets of Nfrequency
components that include that component i. We compare