Multi-tone microwave signals are crucial for advanced quantum computing applications, including frequency-multiplexed qubit control and simultaneous two-qubit gate execution. However, interference among microwave signal components can cause signal amplitudes to surpass the output limits of an arbitrary waveform generator (AWG), hindering the generation of precise signals necessary for accurate qubit manipulation. To address this issue, we introduce a method that adjusts the phase of individual microwave signal components, effectively reducing interference and maintaining signal amplitude within the AWG’s operational range.

Multi-tone microwave signals find utility in advanced quantum computing operations, such as frequency-multiplexed qubit manipulation1–12 and simultaneous execution of two-qubit gates.13–19 For instance, in the context of frequency-multiplexed qubit control, as shown in Fig. 1(a), a multi-tone microwave signal is employed where each microwave signal component is resonant with its targeted qubit. Employing frequency-multiplexed qubit control is expected to reduce the number of microwave cables required to address individual qubits. This reduction can provide a solution to associated challenges such as the cooling capacity and the limited space of dilution refrigerators.20 

FIG. 1.

(a) Conceptual illustration of frequency-multiplexed qubit control. (b) Due to the interference of the microwave signal components, the resulting voltage amplitude peaks can exceed the operational range of the AWG.

FIG. 1.

(a) Conceptual illustration of frequency-multiplexed qubit control. (b) Due to the interference of the microwave signal components, the resulting voltage amplitude peaks can exceed the operational range of the AWG.

Close modal

Successful implementation of frequency-multiplexed qubit control demands careful allocation of qubit frequencies to avoid unwanted excitations and AC-Stark shifts.2 Utilizing a qubit control device with a bandwidth of B to manage N qubits, the strategic setting of the frequency difference Δ ω between qubits to B / N maximizes the multiplicity within the available bandwidth and effectively mitigates the aforementioned issues.2 

However, a challenge arises from the periodic nature of the microwave frequencies used to drive the qubits. This periodicity leads to interference among the microwave signals, resulting in the amplification of voltage peaks, as illustrated in Fig. 1(b). Typically, the generation of such multi-tone microwave signals utilizes a qubit controller based on an arbitrary waveform generator (AWG). The AWG commonly features waveform memory and a digital-to-analog converter (DAC). However, interference among signal components can cause signal amplitudes to exceed the AWG’s operational range, consequently causing the qubit controller to fail to generate the desired microwave signal and potentially compromising the realization of the desired quantum operation.

For instance, according to a previous work, achieving a Rabi frequency of 10 MHz in spin qubits is expected to require a microwave output of about 16 dBm.4 However, multiplexing N qubits leads to an amplification of the multi-tone microwave signal’s amplitude by approximately a factor of N due to interference among each microwave component. Given that the output capacity of a typical AWG used for qubit control is limited to a few dBm or less, this constrains the maximum number of qubits that can feasibly be multiplexed to around ten.

In this work, we introduce a method specifically designed to mitigate interference issues encountered in multi-tone microwave signal generation. Our approach utilizes phase selection to suppress voltage peaks resulting from signal interference. Specifically, we propose employing a crest factor reduction algorithm,21 which assigns specific phases that minimize the peaks caused by interference among microwave signals at certain frequency intervals.

Here, we outline our approach, designed to mitigate the interference problem associated with multi-tone microwave signals. As illustrated in Fig. 1(a), we consider a scenario where all qubits are simultaneously driven by frequency-multiplexed microwave pulses. However, as mentioned later, it is possible to selectively excite targeted qubits. To illustrate our method, we consider the following multi-tone microwave signal:
(1)
This expression represents the sum of multiple components, each consisting of a cosine wave modulated by a Gaussian pulse. Here, a i represents the amplitude, ω i represents the frequency, and ϕ i represents the phase of the ith component. The frequency of each signal component is given by ω i = ω 0 + i Δ ω, where ω 0 is the base frequency.

We calculate the multi-tone signal using specific parameters.22 To simplify, we set the amplitude a i to 1 for all components of the multi-tone signal; however, the method should fundamentally be applicable to other amplitude values as well. Additionally, we assume that the amplitudes are tuned such that each qubit has the same Rabi frequency. It is also important to note that our scheme is not limited to simultaneous excitation; we can selectively excite specific qubits by setting the amplitude a i to 0 for non-targeted components. Assuming a base frequency of ω 0 / 2 π = 5 GHz and a frequency increment of Δ ω / 2 π = 0.1 GHz, we consider all phases ϕ i to be zero. With σ = 15 and N = 30, the resulting signal is depicted in Fig. 2 (blue curve). As can be seen in Fig. 2, peaks in amplitude are observed, which result from the interference among the microwave signals. Such waveforms are actually used in quantum control experiments.23,24

FIG. 2.

Multi-tone microwave signal as described by Eq. (1). Here, the amplitude a i is set to 1, the base frequency is ω 0 / 2 π = 5 GHz, and the frequency increment is Δ ω / 2 π = 0.1 GHz. The standard deviation of the Gaussian envelope σ is set at 15, with N = 30 components. The phases ϕ i are explored under three scenarios: constant phase where all phases are zero, phases determined by the Schroeder algorithm, and phases randomly chosen. The inset shows the effect of the Schroeder algorithm on voltage suppression compared to the constant phase setting across different numbers of frequency components. It is evident that with an increasing number of frequency components, peak voltage suppression is enhanced.

FIG. 2.

Multi-tone microwave signal as described by Eq. (1). Here, the amplitude a i is set to 1, the base frequency is ω 0 / 2 π = 5 GHz, and the frequency increment is Δ ω / 2 π = 0.1 GHz. The standard deviation of the Gaussian envelope σ is set at 15, with N = 30 components. The phases ϕ i are explored under three scenarios: constant phase where all phases are zero, phases determined by the Schroeder algorithm, and phases randomly chosen. The inset shows the effect of the Schroeder algorithm on voltage suppression compared to the constant phase setting across different numbers of frequency components. It is evident that with an increasing number of frequency components, peak voltage suppression is enhanced.

Close modal

We then explore the use of a crest factor reduction algorithm. In this study, we specifically consider applying the Schroeder algorithm25 to suppress peaks caused by interference. Note that, to date, numerous crest factor reduction algorithms have been explored, and other algorithms could also be applicable to our proposal.

The phase given by the Schroeder algorithm is as follows:25 
(2)
Using the phase values determined by the Schroeder algorithm, we recalculate the multi-tone microwave signal. The dashed magenta curve in Fig. 2 represents the amplitude of this signal, showing significant suppression of amplitude peaks. Specifically, the amplitude of the 30-frequency-multiplexed signal is reduced to less than one-tenth of that of a single-tone microwave signal. For comparison, the dotted black curve illustrates the signal with randomly chosen phases.

The inset of Fig. 2 illustrates the effect of the Schroeder algorithm on voltage suppression compared to the constant phase setting across different numbers of frequency components. It is evident that as the number of frequency components increases, peak voltage suppression is enhanced, demonstrating the effectiveness of the Schroeder algorithm in reducing signal interference.

In this paper, we propose the application of the crest factor reduction algorithm to quantum gate operations. While we focus on this specific application, it is also conceivable to apply similar existing techniques. A comparison with these techniques will be addressed in future research.

Here, we explore the two potential applications where our proposal can be beneficial. It should be noted that a detailed discussion of the quantum dynamics is beyond the scope of this article. Our focus is on demonstrating how our proposed method can be applied to practical applications.

The first application is frequency-multiplexed qubit control. In this context, we consider realizing a single-qubit gate operation in a frequency-multiplexed manner. Note that two-qubit gate operations are considered to be implemented without the use of microwaves. Superconducting qubits26 and spin qubits27 are the prime candidates for the physical implementation of this application.

The operation realized on a qubit using a microwave pulse with a phase of ϕ i is denoted by R ϕ i ( θ ) and is defined as follows:
(3)
This operation represents a rotation of θ about the axis, the direction of which is determined by cos ϕ i X ^ + sin ϕ i Y ^, where X ^ and Y ^ are Pauli matrices. Note that in this application, the implementation of a rotation about the z-axis can be implemented by irradiating a qubit with an off-resonant microwave pulse.28 
To validate the applicability of our method for the frequency-multiplexed qubit control, we need to demonstrate that by combining R ϕ i ( θ ) and z-rotation, we can realize any arbitrary single-qubit quantum gate,29 
(4)
As a previous work illustrated, using the π / 2 pulse about the x-axis R x ( π 2 ) and z-rotations, the arbitrary single-qubit gate can be further expressed as
(5)
up to a global phase.29 Given the formulation of R x ( π 2 ) as
(6)
the arbitrary single-qubit gate is realized through the following sequence of operations:
(7)
This decomposition shows that the arbitrary single-qubit gate can be constructed using a series of rotations about the z-axis and π / 2 pulses about the axis determined by cos ϕ i X ^ + sin ϕ i Y ^.

The second application is the simultaneous execution of cross-resonance (CR) gates. The CR gate is one of the commonly employed two-qubit gates in superconducting qubits.30–32 The CR gate is realized by irradiating the control qubit with a microwave that resonates with the target qubit. Furthermore, by utilizing microwaves that carry multiple frequencies, it is possible to implement CR gates simultaneously between different qubits. Previous implementations have achieved multi-qubit gates by applying drive signals to control qubits that share a common target qubit.17,19 In this paper, as illustrated in Fig. 3(a), we explore the simultaneous implementation of CR gates, where a single control qubit is shared by multiple neighboring target qubits.

FIG. 3.

(a) Schematic illustration of simultaneous CR gates across four individual qubit pairs. By applying a multi-tone microwave signal, which consists of frequency components resonant with the neighboring target qubits, it is possible to execute CR gates simultaneously. (b) The CR gate [ U C R ( θ )] can be effectively realized by employing U C R ( θ , ϕ i ) and additional z-rotations applied to the target qubit.

FIG. 3.

(a) Schematic illustration of simultaneous CR gates across four individual qubit pairs. By applying a multi-tone microwave signal, which consists of frequency components resonant with the neighboring target qubits, it is possible to execute CR gates simultaneously. (b) The CR gate [ U C R ( θ )] can be effectively realized by employing U C R ( θ , ϕ i ) and additional z-rotations applied to the target qubit.

Close modal

As illustrated in Fig. 3(a), by applying a multi-tone microwave signal composed of frequency components resonant with neighboring target qubits to a control qubit, it is possible to execute CR gates concurrently. The CR gate, on the other hand, requires a significantly larger microwave amplitude compared to single-qubit gates. This requirement stems from the strength of CR gate interaction, represented by Ω s g / Δ. Here, Ω s is the amplitude of the external drive, g represents the coupling strength between the qubits, and Δ denotes the detuning between them. Therefore, a microwave with a magnitude proportionally larger, as dictated by qubit coupling strength and its detuning, is necessary. This requirement becomes particularly critical in scenarios where there is substantial detuning between the qubits (i.e., in a far-detuned regime), necessitating much larger microwave amplitudes. Nonetheless, the interference from such intense microwave signals can quickly surpass the AWG’s operational limits. As a result, our proposed method provides significant advantages in scenarios with considerable qubit detuning, mitigating the challenges associated with using large signal amplitudes.

To demonstrate that our method can be used for the simultaneous CR gate between far-detuned qubits, it is essential to demonstrate that CR gate operation can be achieved using a microwave signal with a phase of ϕ i. The CR gate is realized through Z ^ X ^ interaction, which can be described by
(8)
When the phase of the microwave pulse used to drive the CR gate is shifted by ϕ i, the interaction is modified accordingly,
(9)
Note that in this paper, we assume that the only Z ^ X ^ and Z ^ Y ^ interactions are induced by the phase-shifted microwave pulse used to drive the CR gate.
The modified interaction can be compensated by applying an additional z-rotation to the target qubit [see Fig. 3(b)], which can be described as follows:
(10)
The results indicate that we can construct the desired two-qubit gate operations even when the phase of the microwave is intentionally shifted to mitigate interference from microwave signals. Note that the z-rotations considered here should be implemented using methods such as a composite gate sequence involving x- and y-rotations.33 Alternatively, the AC-Stark shift can be employed to induce z-rotations.

In conclusion, we have developed a method to mitigate interference among the components of multi-tone microwave signals. By selecting the phases of these signals using a crest-factor reduction algorithm, we can significantly suppress peak amplitudes.

Our calculations reveal that using the crest factor reduction algorithm significantly reduces the peak voltage amplitude of the multi-tone signal. Specifically, in the case studied here, the amplitude of a 30-frequency-multiplexed signal is suppressed to less than 10 times that of a single-tone microwave signal. Without crest factor reduction, the amplitude would be amplified by approximately 30 times.

Note that, in this work, we have considered a scenario where qubit frequency allocation is equally distributed. However, our method can be adapted with some modifications to accommodate scenarios where the frequency of each qubit is not equally distributed. By considering Eq. (1) as the objective function of θ i and by finding the set of phases that minimize the amplitude as given by Eq. (1), it is possible, in principle, to implement our method.

Our proposed method is especially useful in applications that employ multi-tone microwave signals. It enables frequency-multiplexed qubit control, a key element for the development of large-scale quantum computers. Moreover, our approach allows for the simultaneous execution of the CR gate, thereby enabling the efficient execution of quantum algorithms and logical qubit encoding. These capabilities highlight the significant role our method plays in advancing quantum computing by enabling complex operations and improving scalability. Finally, our method is potentially applicable to various types of quantum systems beyond the spin and superconducting qubits discussed.

This research was supported by JST COINEXT (Grant No. JPMJPF2014) and JST Moonshot R &D (Grant Nos. JPMJMS2067 and JPMJMS226A). K.O. acknowledges support from JST, PRESTO (Grant No. JPMJPR23F2). M.N. acknowledges support from MEXT Q-LEAP (Grant No. JP-MXS0118068682).

The authors have no conflicts to disclose.

R. Ohira: Conceptualization (equal); Data curation (lead); Formal analysis (equal); Investigation (lead); Methodology (lead); Supervision (equal); Visualization (lead); Writing – original draft (lead); Writing – review & editing (equal). R. Matsuda: Conceptualization (equal); Formal analysis (equal). H. Shiomi: Conceptualization (equal); Formal analysis (equal). K. Ogawa: Conceptualization (equal); Writing – review & editing (equal). M. Negoro: Conceptualization (equal); Funding acquisition (lead); Supervision (equal); Writing – review & editing (equal).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
M.
Jerger
,
S.
Poletto
,
P.
Macha
,
U.
Hübner
,
E.
Il’ichev
, and
A. V.
Ustinov
, “
Frequency division multiplexing readout and simultaneous manipulation of an array of flux qubits
,”
Appl. Phys. Lett.
101
,
042604
(
2012
).
2.
J. P. G.
Van Dijk
,
E.
Kawakami
,
R. N.
Schouten
,
M.
Veldhorst
,
L. M. K.
Vandersypen
,
M.
Babaie
,
E.
Charbon
, and
F.
Sebastiano
, “
Impact of classical control electronics on qubit fidelity
,”
Phys. Rev. Appl.
12
,
044054
(
2019
).
3.
B.
Patra
et al., “A scalable cryo-cmos 2-to-20 GHz digitally intensive controller for 4 × 32 frequency multiplexed spin qubits/transmons in 22 nm finfet technology for quantum computers,” in 2020 IEEE International Solid-State Circuits Conference-(ISSCC) (IEEE, 2020), pp. 304–306.
4.
J. P. G.
Van Dijk
,
B.
Patra
,
S.
Pellerano
,
E.
Charbon
,
F.
Sebastiano
, and
M.
Babaie
, “
Designing a DDS-based SoC for high-fidelity multi-qubit control
,”
IEEE Trans. Circuits Syst. I Regul. Pap.
67
,
5380
5393
(
2020
).
5.
J. P. G.
Van Dijk
et al., “
A scalable Cryo-CMOS controller for the wideband frequency-multiplexed control of spin qubits and transmons
,”
IEEE J. Solid-State Circuits
55
,
2930
2946
(
2020
).
6.
J. P. G.
Van Dijk
, “Designing the electronic interface for qubit control,” Ph.D. thesis (Delft University of Technology, 2021).
7.
P.
Shi
,
J.
Yuan
,
F.
Yan
, and
H.
Yu
, “Multiplexed control scheme for scalable quantum information processing with superconducting qubits,” arXiv:2312.06911 (2023).
8.
R.
Acharya
et al., “
Multiplexed superconducting qubit control at millikelvin temperatures with a low-power cryo-cmos multiplexer
,”
Nat. Electron.
6
,
900
909
(
2023
).
9.
N.
Takeuchi
,
T.
Yamae
,
T.
Yamashita
,
T.
Yamamoto
, and
N.
Yoshikawa
, “
Microwave-multiplexed qubit controller using adiabatic superconductor logic
,”
npj Quantum Inf.
10
,
53
(
2024
).
10.
P.
Zhao
, “A multiplexed control architecture for superconducting qubits with row-column addressing,” arXiv:2403.03717 (2024).
11.
A. R.
Mills
,
C. R.
Guinn
,
M. J.
Gullans
,
A. J.
Sigillito
,
M. M.
Feldman
,
E.
Nielsen
, and
J. R.
Petta
, “
Two-qubit silicon quantum processor with operation fidelity exceeding 99%
,”
Sci. Adv.
8
,
eabn5130
(
2022
).
12.
W.
Lawrie
,
M.
Rimbach-Russ
,
F. V.
Riggelen
,
N.
Hendrickx
,
S. D.
Snoo
,
A.
Sammak
,
G.
Scappucci
,
J.
Helsen
, and
M.
Veldhorst
, “
Simultaneous single-qubit driving of semiconductor spin qubits at the fault-tolerant threshold
,”
Nat. Commun.
14
,
3617
(
2023
).
13.
M.
Nägele
,
C.
Schweizer
,
F.
Roy
, and
S.
Filipp
, “
Effective nonlocal parity-dependent couplings in qubit chains
,”
Phys. Rev. Res.
4
,
033166
(
2022
).
14.
M.
Khazali
and
K.
Mølmer
, “
Fast multiqubit gates by adiabatic evolution in interacting excited-state manifolds of rydberg atoms and superconducting circuits
,”
Phys. Rev. X
10
,
021054
(
2020
).
15.
X.
Gu
,
J.
Fernández-Pendás
,
P.
Vikstål
,
T.
Abad
,
C.
Warren
,
A.
Bengtsson
,
G.
Tancredi
,
V.
Shumeiko
,
J.
Bylander
,
G.
Johansson
, and
A. F.
Kockum
, “
Fast multiqubit gates through simultaneous two-qubit gates
,”
PRX Quantum
2
,
040348
(
2021
).
16.
A. J.
Baker
,
G. B.
Huber
,
N. J.
Glaser
,
F.
Roy
,
I.
Tsitsilin
,
S.
Filipp
, and
M. J.
Hartmann
, “
Single shot i-Toffoli gate in dispersively coupled superconducting qubits
,”
Appl. Phys. Lett.
120
,
054002
(
2022
).
17.
Y.
Kim
,
A.
Morvan
,
L. B.
Nguyen
,
R. K.
Naik
,
C.
Jünger
,
L.
Chen
,
J. M.
Kreikebaum
,
D. I.
Santiago
, and
I.
Siddiqi
, “
High-fidelity three-qubit i Toffoli gate for fixed-frequency superconducting qubits
,”
Nat. Phys.
18
,
783
788
(
2022
).
18.
C. W.
Warren
et al., “
Extensive characterization and implementation of a family of three-qubit gates at the coherence limit
,”
npj Quantum Inf.
9
,
44
(
2023
).
19.
T.
Itoko
,
M.
Malekakhlagh
,
N.
Kanazawa
, and
M.
Takita
, “
Three-qubit parity gate via simultaneous cross-resonance drives
,”
Phys. Rev. Appl.
21
,
034018
(
2024
).
20.
S.
Krinner
,
S.
Storz
,
P.
Kurpiers
,
P.
Magnard
,
J.
Heinsoo
,
R.
Keller
,
J.
Luetolf
,
C.
Eichler
, and
A.
Wallraff
, “
Engineering cryogenic setups for 100-qubit scale superconducting circuit systems
,”
EPJ Quantum Technol.
6
,
2
(
2019
).
21.
S.
Boyd
, “
Multitone signals with low crest factor
,”
IEEE Trans. Circuits Syst.
33
,
1018
1022
(
1986
).
22.
All calculations are conducted using Python.
23.
Y. S.
Yap
,
Y.
Tabuchi
,
M.
Negoro
,
A.
Kagawa
, and
M.
Kitagawa
, “
A Ku band pulsed electron paramagnetic resonance spectrometer using an arbitrary waveform generator for quantum control experiments at millikelvin temperatures
,”
Rev. Sci. Instrum.
86
,
063110
(
2015
).
24.
Y. S.
Yap
,
M.
Negoro
,
M.
Kuno
,
Y.
Sakamoto
,
A.
Kagawa
, and
M.
Kitagawa
, “
Low power, fast and broadband ESR quantum control using a stripline resonator
,”
J. Phys. Soc. Jpn.
91
,
044004
(
2022
).
25.
M.
Schroeder
, “
Synthesis of low-peak-factor signals and binary sequences with low autocorrelation (corresp.)
,”
IEEE Trans. Inf. Theory
16
,
85
89
(
1970
).
26.
P.
Krantz
,
M.
Kjaergaard
,
F.
Yan
,
T. P.
Orlando
,
S.
Gustavsson
, and
W. D.
Oliver
, “
A quantum engineer’s guide to superconducting qubits
,”
Appl. Phys. Rev.
6
,
021318
(
2019
).
27.
G.
Burkard
,
T. D.
Ladd
,
A.
Pan
,
J. M.
Nichol
, and
J. R.
Petta
, “
Semiconductor spin qubits
,”
Rev. Mod. Phys.
95
,
025003
(
2023
).
28.
E.
Lucero
,
J.
Kelly
,
R. C.
Bialczak
,
M.
Lenander
,
M.
Mariantoni
,
M.
Neeley
,
A. D.
O’Connell
,
D.
Sank
,
H.
Wang
,
M.
Weides
,
J.
Wenner
,
T.
Yamamoto
,
A. N.
Cleland
, and
J. M.
Martinis
, “
Reduced phase error through optimized control of a superconducting qubit
,”
Phys. Rev. A
82
,
042339
(
2010
).
29.
D. C.
McKay
,
C. J.
Wood
,
S.
Sheldon
,
J. M.
Chow
, and
J. M.
Gambetta
, “
Efficient Z gates for quantum computing
,”
Phys. Rev. A
96
,
022330
(
2017
).
30.
C.
Rigetti
and
M.
Devoret
, “
Fully microwave-tunable universal gates in superconducting qubits with linear couplings and fixed transition frequencies
,”
Phys. Rev. B
81
,
134507
(
2010
).
31.
S.
Sheldon
,
E.
Magesan
,
J. M.
Chow
, and
J. M.
Gambetta
, “
Procedure for systematically tuning up cross-talk in the cross-resonance gate
,”
Phys. Rev. A
93
,
060302
(
2016
).
32.
J. M.
Chow
,
A. D.
Córcoles
,
J. M.
Gambetta
,
C.
Rigetti
,
B. R.
Johnson
,
J. A.
Smolin
,
J. R.
Rozen
,
G. A.
Keefe
,
M. B.
Rothwell
,
M. B.
Ketchen
, and
M.
Steffen
, “
Simple all-microwave entangling gate for fixed-frequency superconducting qubits
,”
Phys. Rev. Lett.
107
,
080502
(
2011
).
33.
S.
Debnath
,
N. M.
Linke
,
C.
Figgatt
,
K. A.
Landsman
,
K.
Wright
, and
C.
Monroe
, “
Demonstration of a small programmable quantum computer with atomic qubits
,”
Nature
536
,
63
66
(
2016
).