Intermodulation Distortion in a Josephson Traveling Wave Parametric Amplier Ants Remm1Sebastian Krinner1Nathan Lacroix1Christoph Hellings1Francois Swiadek1Graham Norris1Christopher Eichler1and Andreas Wallra1 2

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Intermodulation Distortion in a Josephson Traveling Wave Parametric Amplifier
Ants Remm,1Sebastian Krinner,1Nathan Lacroix,1Christoph Hellings,1Francois
Swiadek,1Graham Norris,1Christopher Eichler,1and Andreas Wallraff1, 2
1Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland
2Quantum Center, ETH Zurich, CH-8093 Zurich, Switzerland
(Dated: October 11, 2022)
Josephson traveling wave parametric amplifiers enable the amplification of weak microwave signals
close to the quantum limit with large bandwidth, which has a broad range of applications in super-
conducting quantum computing and in the operation of single-photon detectors. While the large
bandwidth allows for their use in frequency-multiplexed detection architectures, an increased num-
ber of readout tones per amplifier puts more stringent requirements on the dynamic range to avoid
saturation. Here, we characterize the undesired mixing processes between the different frequency-
multiplexed tones applied to a Josephson traveling wave parametric amplifier, a phenomenon also
known as intermodulation distortion. The effect becomes particularly significant when the ampli-
fier is operated close to its saturation power. Furthermore, we demonstrate that intermodulation
distortion can lead to significant crosstalk and reduction of fidelity for multiplexed readout of su-
perconducting qubits. We suggest using large detunings between the pump and signal frequencies
to mitigate crosstalk. Our work provides insights into the limitations of current Josephson traveling
wave parametric amplifiers and highlights the importance of performing further research on these
devices.
I. INTRODUCTION
Amplification of weak microwave signals is essential for
many applications, including readout of superconduct-
ing qubits [1–4] and quantum dot devices [5–7], and ra-
dio astronomy [8, 9]. State-of-the-art low-noise amplifiers
in the microwave domain [10–15] approach the quantum
limit in noise performance [16] by operating at millikelvin
temperatures and using parametric pumping of a nonlin-
ear circuit made of Josephson junctions or high kinetic
inductance elements. While parametric amplifiers based
on nonlinear resonators have typical bandwidths on the
order of tens of MHz limited by the gain and the res-
onator linewidth [17, 18], traveling wave parametric am-
plifiers (TWPAs) [10, 14, 19–23] can have much higher
bandwidths of up to several GHz. The high bandwidth
enables a high degree of frequency-multiplexing, for ex-
ample for qubit readout [7, 24] and single-photon detec-
tors [9]. Multiplexed use of hardware resources [24–30] is
essential for the operation of large quantum devices.
So far material losses and the generation of signal side-
bands have been identified as the main sources of excess
noise in TWPAs above the quantum limit [14, 22, 31],
characterized by the intrinsic quantum efficiency. In ad-
dition to adding as little noise as possible at the signal fre-
quency, broadband amplifiers should not generate spuri-
ous tones due to intermodulation of the inputs [32, 33], in
particular when they are used in frequency-multiplexed
applications. However, due to amplifier nonlinearities,
intermodulation distortion is unavoidable and constitutes
a well-known phenomenon in classical amplifiers [34]. In-
termodulation products can lead to crosstalk between
the amplified signals if any of their frequencies overlap
with one of the signals. The probability of such collisions
increases with increasing degree of frequency multiplex-
ing because the number of intermodulation products in-
creases.
In this work we characterize the intermodulation dis-
tortion of a resonantly phase-matched traveling wave
parametric amplifier [14] (Section II). We identify inter-
modulation products of order up to five in the output
spectrum and characterize their power and frequency de-
pendence on the input signals. We then show that the
frequency collision of an intermodulation product with a
readout signal can lead to significant crosstalk and reduc-
tion of readout fidelity (Section III). Finally, we discuss
strategies to mitigate these errors by the choice of pump
and signal frequency and of power levels (Section IV).
We find that intermodulation distortion, if not ac-
counted for, can lead to significant crosstalk and read-
out errors in frequency-multiplexed architectures, which
can be detrimental for applications that rely on fast,
high-fidelity readout, such as quantum error correc-
tion [35–38]. Therefore, continued development of cryo-
genic microwave amplifiers is needed to allow for fast low-
crosstalk multiplexed readout of many qubits.
II. INTERMODULATION DISTORTION
CHARACTERIZATION
The TWPA investigated in this study is a nonlin-
ear transmission line, formed by a series of Josephson
junctions and capacitors to ground, which is shunted to
ground by capacitively coupled LC resonators at 8.1 GHz
to achieve phase matching [14], see Fig. 1 (a). The non-
linearity of the Josephson junctions allows for four-and-
higher-wave mixing processes between the tones travers-
ing the TWPA. In the presence of a strong pump tone,
the mixing processes lead to desired phase-insensitive
amplification of weak tones [ω1,ω2in Fig. 1 (b)], but also
to sideband generation by absorbing or emitting pump
arXiv:2210.04799v1 [quant-ph] 10 Oct 2022
2
FIG. 1. (a) The circuit of a resonantly phase-matched TWPA.
(b) Examples of tones propagating along the length of the
TWPA and their amplitudes (thickness of the lines, not to
scale) in the case of frequency-multiplexed readout at ω1
and ω2with the pump tone at ωp. In particular, a tone at
ω2+ωpω1is created, which is an example of the intermod-
ulation products studied in this work. (c) The measured gain
G(black) and signal-to-noise ratio improvement (red) spectra
of the device under study.
photons [31] and to the mixing of multiple signals [32],
known as intermodulation distortion. An example of in-
termodulation distortion is the creation of a tone (inter-
modulation product) at frequency ω2+ωpω1at the
output of the TWPA, as shown in Fig. 1 (b).
In our experimental setup the TWPA is mounted at
the base temperature stage of a dilution cryostat op-
erated at 10 mK. The signals, generated at room tem-
perature, are up-converted to microwave frequencies us-
ing an IQ-mixer. The output of the TWPA is am-
plified by a cryogenic high-electron mobility transistor
(HEMT) amplifier and by room-temperature amplifiers.
Finally, the signals are down-converted using an IQ-mixer
with a local oscillator at 6.9 GHz and digitized, see Ap-
pendix A for details. The power 62 dBm and frequency
ωp/2π= 7.92 GHz of the pump tone are chosen to max-
imize the signal-to-noise ratio of signals applied between
6.7 GHz and 7.6 GHz used for qubit readout. The power
levels at the input of the TWPA are calculated based on
room-temperature measurements and the attenuation of
the components within the cryostat. We achieve a mean
gain of G= 18.4 dB and a signal-to-noise ratio rise of
13.0 dB relative to not pumping the TWPA, in which
case the noise is dominated by the HEMT amplifier, see
Fig. 1 (c).
To observe the intermodulation products that we want
to characterize, we apply signal tones at frequencies ω1
and ω2to the input of the TWPA through a directional
coupler which is also used for applying the pump tone.
The signal power level at the input of the TWPA is ap-
proximately 102 dBm. We acquire 2.275 µs long time
traces and multiply them with a Blackman-Harris win-
FIG. 2. (a) Measured output power spectra when sweeping
the frequency of a single tone ω1in the presence of a second
signal tone ω2. Various intermodulation products are high-
lighted in color according to their signal order, see text for
details. (b) Line cut of the data in (a) at ω1indicated by the
dashed line. (c) Dependence of the power of the intermodula-
tion products Pon the applied signal power p1. The power of
the two signal tones is swept together. The gray lines indicate
the mean power level for products of signal order Os= 1, 2,
and 3 according to Eq. (1), and the arrows indicate the 1 dB
compression power p1dB and the intermodulation intercept
points pIP for Os= 2 and 3 tones.
dow [39] before taking the Fourier transform to avoid
windowing effects. By fixing ω2/2π= 7.1924 GHz and
sweeping ω1/2πfrom 6.9 GHz to 7.8 GHz, we record the
spectra shown in Fig. 2 (a). In addition to the signals
at ω1and ω2(green lines), we observe intermodulation
products at frequencies ω=npωp+Pi=1,2niωiwith inte-
gers npand ni. We can classify the intermodulation prod-
ucts according to their total order Ot=|np|+Pi|ni|.
Four-wave mixing processes lead to products of total or-
der Ot= 3 while cascaded four-wave mixing processes
and higher-order mixing processes can lead to products
with odd order Ot= 5 and higher. Of the intermodu-
lation products that lie within the acquisition band, we
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 Os3, 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 =GVin1kV 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
摘要:

IntermodulationDistortioninaJosephsonTravelingWaveParametricAmpli erAntsRemm,1SebastianKrinner,1NathanLacroix,1ChristophHellings,1FrancoisSwiadek,1GrahamNorris,1ChristopherEichler,1andAndreasWallra 1,21DepartmentofPhysics,ETHZurich,CH-8093Zurich,Switzerland2QuantumCenter,ETHZurich,CH-8093Zurich,Swit...

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