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. 2025 Jan 6;16:301. doi: 10.1038/s41467-024-54303-0

Observation of quantum strong Mpemba effect

Jie Zhang 1,2,3,#, Gang Xia 1,#, Chun-Wang Wu 1,2,3, Ting Chen 1,2,3, Qian Zhang 4, Yi Xie 1,2,3, Wen-Bo Su 1, Wei Wu 1,2,3, Cheng-Wei Qiu 5, Ping-Xing Chen 1,2,3, Weibin Li 6,7,, Hui Jing 4,8,, Yan-Li Zhou 1,2,3,
PMCID: PMC11704179  PMID: 39762250

Abstract

An ancient and counterintuitive phenomenon known as the Mpemba effect (water can cool faster when initially heated up) showcases the critical role of initial conditions in relaxation processes. How to realize and utilize this effect for speeding up relaxation is an important but challenging task in purely quantum system till now. Here, we experimentally study the strong Mpemba effect in a single trapped ion system in which an exponentially accelerated relaxation in time is observed by preparing an optimal quantum initial state with no excitation of the slowest decaying mode. Also, we demonstrate that the condition of realizing such effect coincides with the Liouvillian exceptional point, featuring the coalescence of both the eigenvalues and the eigenmodes of the systems. Our work provides an efficient strategy to engineer the dynamics of open quantum system, and suggests a link unexplored yet between the Mpemba effect and the non-Hermitian physics.

Subject terms: Quantum simulation, Quantum information, Single photons and quantum effects


The Mpemba effect is an archetype for various anomalous relaxation phenomena. Here, the authors experimentally study a quantum version of the Mpemba effect in a single trapped ion system, where relaxation is exponentially accelerated by removing the excitation of the slowest decaying mode. This phenomenon, seen in Markovian open quantum systems containing Liouvillian exceptional points, indicates a link between the Mpemba effect and non-Hermitian physics.

introduction

Relaxations or dissipative evolutions from initial states to a stationary state, widely existing in nature, are vital for fundamental studies of nonequilibrium phenomena and practical control of dynamical devices1,2. In quantum realm, rapid relaxations are highly desirable for efficient quantum state preparation and qubit engineering38. As a possible strategy to achieve this goal, the Mpemba effect (ME)9, well-known in the counterintuitive example that water can cool faster when initially heated up, has attracted growing interests both in classical1017 and quantum systems in recent years1830. Often, this and related phenomena admits a general explanation1012,31: the state of the hotter system overlaps less with the slowest decaying mode (SDM) of the dissipative or cooling dynamics, implying the critical role of initial conditions in relaxations (see Fig. 1(a, b)).

Fig. 1. Comparison for classic and quantum Mpemba effect.

Fig. 1

a The ME can be understood in an intuitive way: the amplitude of the overlap of the initial state with the slowest decaying mode (SDM) depends on the initial temperature in a nonmonotonic way. The sME appears when the overlap with the SDM vanishes. b Weak ME: If an initial high temperature state has a smaller SDM amplitude than that of the lower temperature state, it can reach the thermal equilibrium faster. Strong ME: the system reaches equilibrium at an exponentially faster rate. No ME: the initial high temperature state has a larger overlap with the SDM and thus reaches the equilibrium slower. c By applying a unitary operation, one can realize an initial sME state and approaches the stationary state with a faster rate. d The energy levels for observing the sME (with κ2 ≪ κ1). e The overlap ∣c1∣ of a rotated initial random state with the SDM as a function of the rotation angle s. f The distance between the time-relaxed state ρ(t) and the stationary state ρss for different initial states: 0 (blue), 2 (green) and sME (red), respectively. The initial sME state starts with a longer distance from ρss than the initial state 0(2) but reaches ρss faster. g The logarithmic scale of the distance evolves with time for different initial states. An exponential speed-up of relaxation is clearly observed for the sME initial state. The experimental parameters for (eg) are Ω1  = 2π  × 20 kHz, Ω2  = 0.06Ω1κ1  =  2Ω1κ2  = 0.0015Ω1, and the solid lines here are the theoretical predictions based on the experimental parameters.

For purely quantum systems at zero temperature, the main challenge is to identify ME-induced rapid relaxations that are not smeared out by quantum superposition18. Very recently, Carollo et al.18 proposed that strong ME (sME) or exponential speed-up of relaxation can emerge in Markovian open quantum systems by devising an optimal initial state (i.e., sME state) to prohibit excitation of the slowest decaying mode (SDM, see Fig. 1(c)). This prediction of quantum sME, however, has not been experimentally realized till now, hindering its possible applications in e.g., ‘engineered’ relaxation dynamics of the open quantum system14.

Here, we report the observation of the sME in a truly quantum system, which is a genuine quantum effect and cannot be captured by semi-classical methods. As an essential step towards this target, we construct the sME state via efficient gate operations on a single trapped ion and show that with such special pure state, featuring zero overlap with the SDM, exponential speeding-up of relaxations can be observed (see Fig. 1(d–g)). Also we find that a critical point can appear in our system, separating the regimes with or without exponential acceleration of relaxations, which coincides well with the Liouvillian exceptional point (LEP)3239. Furthermore, we observe both eigenvalues and eigenmodes coalesce at the LEP in the experiment by measuring the overlaps with the decaying modes. Our findings indicate a possible link unexplored yet between quantum ME and non-Hermitian physics7,3844, which may stimulate more exciting efforts on e.g., engineering quantum sME with higher-order or topological LEPs38,39,44.

Results

Theory of quantum strong Mpemba effect

To understand the quantum sME, we consider a Lindblad master equation ρ°=Lρ(t), where L is the Liouvillian superoperator18,36,45

Lρ=i[H,ρ]+αJαρJα12JαJα,ρ. 1

Here H is the Hamiltonian of the system and Jα are the quantum jump operators. The density operator ρ(t) can be expanded as the sum of all eigenmodes (Ri) of L

ρ(t)=eLt=ρss+i=1d21cieλitRi. 2

Here Ri(Li) are the right (left) eigenmatrices of the Liouvillian superoperator L, with the corresponding eigenvalues λ0>Re[λ1]Re[λ2]Re[λ3], and λ0 = 0. λ0 or its eigenmatrix R0 denotes the stationary state ρss, which is independent of any initial state ρin, while the real parts of other eigenvalues λi≥1 indicate the relaxation rates of the eigenmodes Ri. Coefficients ci=Tr[Liρin] give the overlap of Li with ρin, and d2 denotes the number of the decay modes.

Generally, an initial state can overlap with all decaying modes of Lindblad dynamics, but at long times the relaxation is dominated by the slowest one R113,15,45,46. The decay rate of the eigenmode R1 sets an exponential timescale of the relaxation τ1=1/Re[λ1]4547, which is normally independent of the initial state. But for the ME case, anomalous fast relaxations can be achieved by designing a special form of the overlap c1 featuring smaller or even zero overlap with the SDM11,13,18,20.

The quantum sME can be realized by designing such an initial state sME satisfying18,

TrL1sMEsME=c1=0. 3

This optimal state sME is prepared by applying a well devised unitary transformation to an initially pure quantum state of the system18. Therefore the sME state is normally a quantum superposition state, which represents a fundamental difference from classic sME, and thus the resulting dynamical behaviour cannot be captured by semi-classical approaches (see Supplementary note 1). Since this sME initial state has zero overlap with the SDM, the relaxation rate of the system is thus Re[λ2], with the timescale τ2=1/Re[λ2], instead of τ1=1/Re[λ1]. This implies an exponentially faster convergence to the stationary state by a factor Re[δλ12]=Re[λ1λ2].

Experimental approach

The experimental setup and relevant energy levels for the quantum sME are shown in Fig. 2(a, b). The ground state 0=42S1/2,mj=1/2 is resonantly coupled to state 1=32D5/2,mj=5/2 and 2=32D5/2,mj=3/2 by one 729 nm laser beam with two frequency components and the corresponding Rabi frequencies are Ω1 and Ω2, respectively. Another laser at 854 nm with right circular polarization induces a tunable decay channel between state 1 and 0 with decay rate κ1, by coupling 1 to a short-life level 42P3/2,mj=3/2, which will decay quickly back to the state 0=42S1/2,mj=1/2 (see Supplementary note 2). The imperfect polarization of 854 nm will cause slow decay from state 2 to 0 with decay rate κ2 ≪ κ1 and also the leakage of population to the other Zeeman ground state. Fortunately, the leakage problem can be fixed by introducing a weak optical pumping beam at 397 nm during the data acquisition process. Then for the effective three-level system, we have the Hamiltonian H=j=1,2Ωj/2(0j+j0) and two jump operators Jj=κj0j (j = 1, 2).

Fig. 2. Experimental setup and relaxation dynamics for different initial states.

Fig. 2

a Experimental setup of quantum sME. The coherent driving between the S state and D state is realized by using a 729 nm laser beam with linewidth about 100 Hz. Two transitions required (as shown in b) are simultaneously driven by injecting two RF frequencies to an acoustic-optic modulator (AOM1) via an arbitrary waveform generator (AWG). The decay rate of the D state is controlled by the power of 854 nm laser. b The relevant energy levels of a single 40Ca+ ion involved in the experiment, with state 0,1,2 are encoded in the energy levels 42S1/2,mj=1/2, 32D5/2,mj=5/2 and 32D5/2,mj=3/2, respectively. The energy gap of state 1 and 2 can minimize detrimental effect from the polarization impurity of the 854 nm laser beam. c Protocol to generate the sME initial state and tomography of the density matrix ρ(t). After generating the initially sME state by applying two rotation gates on the state 0, the system evolves with the Liouvillian superoperator L of interest. After a time t, projective measurements are performed for the tomography of the state ρ(t). df Left: The dynamics of the state population ρii=Tr[iiρ(t)](i=0,1,2) for initial states 0 (d), 2 (e) and sME (f) on a logarithmic timescale. Right: The evolving overlap ci(t)=Tr[Liρ(t)] for three time stamps at 0, τ2τ1. The solid lines indicate the theoretical results based on the experimental parameters same with Fig. 1(e–g) and the error bars are generated by using Monte Carlo simulation.

To observe quantum sME, we initialize the ion in the ground state 0 and subsequently rotate it by applying a unitary operation U18 (see Fig. 2(c)). Although this transformation can be exactly constructed through the decomposition method48, it is still challenging to realize it with high fidelity in the experiment since at least six gate operations are required for our case. To overcome this obstacle, here we optimize the operations to two qubit-rotations (see “Methods” for technical details). The rotated state then relaxes with the desired Liouvillian superoperator L. The final step is quantum state tomography, i.e., performing the projective measurements on the time-relaxed state ρ(t) as it relaxes from the initial state ρin to the final stationary ρss. We remark that both the dynamical process and the state readout need to be carefully regulated, accompanying with the optimization procedure (see “Methods”).

Quantum strong ME

With the aid of tomography of ρ(t), we can characterize the relaxation process by using the Hilbert-Schmidt distance18

D(ρ(t),ρss)=ρ(t)ρss, 4

with the notation A=Tr[AA]. As presented in Fig. 1(f), the sME initial state generated by our method is farther from the stationary state than normal initial states 0(2). This is due to the fact that while U removes the SDM excitation, it also modifies the excitation of the remaining ones18. Nonetheless, the approach to stationarity for sME initial state is still faster since the SDM (R1) is cut off by U18. Figure 1(g) gives the Logarithmic scale of distance D(ρ(t),ρss). Compared with the normal initial states, an exponential speeding-up of the relaxation is reached for the sME initial state, a clear evidence of quantum sME. It can also be observed by other distance measures, for instance, the trace distance48 or Bures distance49,50 (see Supplementary note 1).

Figure 2(d–f) illustrates the relaxation dynamics of initial states 0, 2, and sME, respectively, under same experimental parameters. We find that they all reach the same steady state after a sufficiently long time, but the relaxation time of the sME initial state is significantly shorter. For the normal initial states 0(2) (see Fig. 2(d, e)), when t  ≫ τ2 the system relaxes into a state in the metastable manifold till τ1=1/Re[λ1]45. Differently, as seen in Fig. 2(f), the application of U, cutting of the excitation of the SDM, leads to striking faster approach to the steady state with the time scale τ2  ≪  τ1. In order to visualise their overlaps on each decaying mode, we give all coefficients ci(t) of ρ(t) decomposition into all the decaying modes at time t = 0, t = τ2, and t = τ1, respectively. As depicted in Fig. 2(d, e), when time t  =  0, a generic initial state will normally overlap with the slowest one, i.e., c1(0) ≠ 0. When time t  >  τ2, the overlap of initial state with the short-life excitation modes (Ri>1) becomes very small, while the SDM (R1) is still relevant and keeps the system away from stationarity for a long time till t  ≫  τ1. However, for the sME initial state, c1  =  0, therefore, the relaxation time scale is reduced to τ2 with a faster decay rate Re[λ2] (see Fig. 2(f)). Note that the coefficient on R0 (i.e., the stationary state) has the form c0t=Tr[L0ρ(t)]=Tr[ρ(t)]=1 and consistently remains at 1 for all the time, while the coefficients on other decay modes cit=cieλit=Tr[Liρin]eλiti=1,2 decrease with time for the reason Re[λi]<0.

From strong ME to weak ME

Can this exponential acceleration always happen for the sME initial state? To check this, we measure the distance D(ρ(t),ρss) and the overlaps c1,2(t) for different parameters of the system. As shown in Fig. 3(a-b), for the normal initial state 0(2), the distance has similar dynamical behavior with the overlap c1(t) at the final stage of the relaxation, i.e., ρ(t)ρssc1eλ1tR1. While for sME intial state, it becomes to ρ(t)ρssc2eλ2tR2. When Ω21 ≪ 1, the accelerated relaxation achieved for sME initial state is very significant, since in this regime Re[λ1]Re[λ2], as shown in Fig. 3(c). While as Ω2 increases, this exponential gain Re[δλ12] decreases and even disappears when Ω2 passes across the LEP, where λ1 = λ2 and R1  = R2. The reason is that when Ω21  >  LEP, the eigenvalue of the SDM of the L forms a complex conjugate pair, i.e., λ1=λ2* (see Fig. 3(c)), which means that the decaying modes R1 and R2 have the same decay rate. Meanwhile, the imaginary parts of eigenvalues λ1,2 result in the oscillating during the relaxation process7,43 (Supplementary note 1). Even though, comparing with normal initial states which have two SDMs, the sME initial state here just has one so that it may still be faster to the stationary state. Different with sME featuring a faster decay rate, this acceleration here corresponds to the weak ME which is associated with a smaller overlap with the SDM11. As a consequence, LEP is the boundary between the quantum strong ME and weak ME, showing that an existence of the quantum strong ME is limited to the regime in which λ1 is real. It is helpful for deepening the understanding of the relaxation speed limit from both LEPs and quantum ME perspectives.

Fig. 3. From strong ME to weak ME.

Fig. 3

a Logarithmic scale of distance D(ρ,ρss) evolves with time for different initial state: 0 (blue), 2 (green) and sME (red), respectively. b The corresponding coefficients c1(t) (of initial state 0(2)) and c2(t) (of initial state sME). The sME that exits exponential acceleration is observed for Ω21  =  0.04, 0.16( < LEP). When Ω21  =  0.25( > LEP), sME has the same decay rate with the normal initial states 0(2), meaning the strong ME disappears but weak ME is allowed. c Real parts of the eigenvalues of the Liouvillian operator as a function of Ω21. d Overlaps ∣c1∣ (solid) and ∣c2∣ (dashed) for different initial states 0 (red) and 2 (green), respectively. The parameters are Ω1  =  2π  ×  20  kHz, κ1  =  2Ω1κ2  =  0.0015Ω1. All error bars in this figure are calculated by using Monte Carlo simulation.

Based on the measurements of the overlaps, we further demonstrate both eigenvalues (Fig. 3(c)) and eigenmodes (Fig. 3(d)) coalesce at LEP in the experiment. Whereas the impact of the decaying modes is often limited to transient dynamics, it presents a practical challenge for experimental observation of more than one eigenvalue of L. Normally, LEP happens at the point that an eigenvalue changes from real to complex38,39. However, this change just can show where LEP happens, but does not demonstrate the coalesce of the LEP, because the coalesce of LEPs typically occur in two or more eigenvalues. This challenge could be solved by fitting the measurement of ci(t)=cieλit using a single exponential function of time. Based on this, theoretically, one can get the full spectrum of L. For our system here, considering the overlap c2 is very small for initial state 0(2)), we choose to get λ2 by measuring c2(t) of initial sME state and λ1 by measuring c1(t) of initial state 0. The results, as depicted in Fig. 3(c), match well with the theoretical results and show that LEP is signaled by the degenerated of λ1,2

As shown in Fig. 3(d), the coalesce of the eigenmodes R1(L1) and R2(L2) at LEP is indicated by c1 = c2 for a fixed initial state, because at LEP Tr[L1ρin]=Tr[L2ρin]. This means the coalesce the coefficients is a detectable way to show the eigenmodes coalesce of LEP. Note that, as we observed in Fig. 3(c-d), the bifurcation singularity of the spectrum and the overlaps c1,2 is not detectable in the steady state but rather in the relaxation process36. In fact, for the dynamics at long times, ρ(t)ρssc1eλ1tR1, thus LEP corresponds the final direction change of the dynamics from R1 to R1+R1. This direction change occurring at LEP is the further evidence of a direct link with anomalous phenomena arising in the relaxation process such as sME and the dynamical phase transition15,51.

Discussion

In summary, we have observed the quantum sME in a single trapped-ion system by preparing an optimal pure state that has zero overlap with the SDM. For the quantum sME initial state, we propose an efficient quantum control technique for state preparation, dynamical engineering and state tomography. In addition, we reveal that quantum sME only happens within a certain parameter range, which is determined by LEP. Together with well-developed techniques of engineering quantum states, our work not only provides a powerful tool for exploring and utilizing the quantum sME as examples of engineered relaxation dynamics14 but also bridges the LEP and quantum ME, two previously independent effects. Besides, the experimentally accessible methods discussed in the present manuscript, such as the the efficient unitary transformation and the overlaps measurement, will be valuable tools to assess the quality of the state preparation and the control of the system relaxation.

Note added: While submitting our manuscript, we became aware of another two experimental studies of the Mpemba effect performed with trapped ion systems appeared on arXiv, and currently they have been published on Phys. Rev. Lett29,30.

Methods

We explain here how to devise the unitary transformation U to generate the quantum sME initial (pure) state ρinsME=sMEsME. We firstly use the method performed in ref. 18 to get sME, then we explicitly construct feasible operation U based on our experimental setting (see Fig. 4).

Fig. 4. Protocol to prepare arbitrary pure qutrit (three-level) states and to get the density matrix ρ(t) in the experiment.

Fig. 4

First, we construct the quantum state by engineering an 'virtual' but efficient unitary transformation U = R02R01. Then in the dynamical process, the parameters of the lasers Ω1,2 are adjusted accordingly to Ω1eiϕ and Ω2eiϕ. Finally, the state tomography operations are changed accordingly to W(ϑ1,ϑ2).

As discussed in ref. 18, the formula of this unitary can be expressed as

U=exp[is(ϕ1ϕ2+ϕ2ϕ1)]ϕ10, 5

where ϕ1(2) are the eigenstates of the left-hand eigenmatrix L1 with the corresponding negative (positive) eigenvalues α1(2), s=arctan(α1/α2). This qutrit (three-level) U operations can be decomposed into several qubit (two-level) rotations48. Compared with qubit operations, a notable challenge in qutrit operations is that the elementary qubit operations lose their ‘global-phase’ gauge freedom because any phase shift is measured relative to the spectator level52.

Now we discuss how to overcome this technical challenge by applying a more efficient and practical way of decomposition, which requires only 2 two-level rotation operations in the experiment (see Fig. 4). Suppose an arbitrary qutrit pure state ψ=U0=(a,b,c)T and ∣a2  +  ∣b2  +  ∣c2  = 1, then U can be decomposed into a product of 2 two-level unitary matrices U = AB48, where

A=aa2+b2b*a2+b20ba2+b2a*a2+b20001,B=a0c*010c0a*, 6

with a=a2+b2. The unitary A and B can be written in the form

A=P01(α)Z01(β)R01(γ,π/2)Z01(δ)=P01(α)R01z(β+δ)R01(γ,π/22δ),B=P02(α)Z02(β)R02(γ,π/2)Z02(δ)=P02(α)Z02(β+δ)R02(γ,π/22δ), 7

where

P01(x)=eix000eix0001,P02(x)=eix0001000eix,Z01(x)=eix000eix0001,Z02(x)=eix0001000eix,
R01(x,y)=cosx2ieiysinx20ieiysinx2cosx20001,R02(x,y)=cosx20ieiysinx2010ieiysinx20cosx2,

and

γ=2arccosA11,α=12arg(A11)+arg(A22),β=12(arg(A21)arg(A11)),δ=α+arg(A22)β,γ=2arccosB11,α=12(arg(B11)+arg(B33)),β=12(arg(B31)arg(B11)),δ=α+arg(B33)β.

Here we have translated the phase gates P and Z backwards which implement appropriate phase-shifts between the qutrit states52,53. Then the final decomposed unitary operation for U can be written as

U=AB=P01(α)Z01(β+δ)R01(γ,π/22δ)P02(α)Z02(β+δ)R02(γ,π/22δ)=P01(α)P02(α)Z01(β+δ)Z02(β+δ)R01(γ,ϕ)R02(γ,ϕ), 8

with ϕ=α(β+δ)+π22δ,ϕ=π22δ.

We can further simplify the unitary operation U in a more efficient way by translating phase gates P and Z to the operation backwards till the detection due to the fact that the detection does not need phase information53. By calculating the translated phase in software, we just need two rotation operations R01R02 to generate arbitrary qutrit pure state experimentally, which can not only greatly simplify operations, but also improve the fidelity of sME state.

As shown in Fig. 4, our careful analysis shows that the corresponding dynamical operator and state tomography operations need to be modulated accordingly,

L(Ω1,Ω2)LΩ1eiϕ,Ω2eiϕ. 9

The state tomography for the qutrit system here requires 9 measurement basis, which are 0, 1, 2, (0+1)/2,(0+i1)/2, (0+2)/2, (0+i2)/2, (1+2)/2, (1+i2)/2. However, only S or D state can be detected in the trapped ion system, therefore we need to rotate the basis to state 0 before applying the detection beam since we have encoded state 1 and 2 in D state manifold. The rotation operation W(ϑ1eiϕL1,ϑ2eiϕL2) in the state tomography can be realized by simply combining the π or π/2 pulses with translating phase ϕL1=α2(β+δ)(β+δ) on the transition 01 and ϕL2=α2(β+δ)(β+δ) on the transition 02 respectively. After we get the projective measurement results of these basis, we can reconstruct density matrix by using maximum-likelihood method, and the error bars for the density matrix are obtained by using numerical simulations54,55.

Supplementary information

Source data

Source Data for Figure 1 (1.5MB, xlsx)
Source Data for Figure 2 (29.5KB, xlsx)
Source Data for Figure 3 (50.2KB, xlsx)

Acknowledgements

This work was supported by the Cornerstone fundation of NUDT (Y.L.Z.), Natural Science Foundation of Hunan Province of China under grant Nos. 2023JJ30626 (Y.L.Z.), 2022RC1194 (J.Z.), 2023JJ10052 (J.Z.), National Natural Science Foundation of China under grant Nos. 12004430 (J.Z.), 12174448 (C.W.W.), 12074433 (P.X.C.), 12174447 (W.W.) and 12204543 (T.C.). H.J. is supported by the NSFC (grant No.11935006), the Science and Technology Innovation Program of Hunan Province (grant No. 2020RC4047), National Key R&D Program of China (No. 2024YFE0102400) and Hunan provincial major sci-tech program (No. 2023ZJ1010), and P.X.C. acknowledges the support from Innovation Program for Quantum Science and Technology under grant No. 2021ZD0301605.

Author contributions

Y.L.Z. conceived and designed the research with helpful discussions with H.J.,W.L. and P.X.C.; J.Z. and G.X. were responsible for the experimental implementation, the data acquisition and its evaluation; J.Z., Y.L.Z. and C.W.W. designed the experiment with the help of T.C., Y.X., W.W. and P.X.C.; Y.L.Z. performed the simulations; Y.L.Z., J.Z. and G.X. analyzed the data; Y.L.Z., J.Z, H.J., W.L. and C.W.Q. wrote the paper with inputs from G.X., T.C., Q.Z. and W.B.S. ; H.J., W.L. and P.X.C. supervised this project. All authors discussed the results and contributed to the manuscript.

Peer review

Peer review information

Nature Communications thanks Antonio Lasanta, Pengfei Wang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Data availability

The data that supports the findings are presented in the article and Supplementary Information. Source data are provided with this paper.

Code availability

The code used for data analysis and simulation is available from the corresponding author upon request. Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Jie Zhang, Gang Xia.

Contributor Information

Weibin Li, Email: weibin.li@nottingham.ac.uk.

Hui Jing, Email: jinghui73@foxmail.com.

Yan-Li Zhou, Email: ylzhou@nudt.edu.cn.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-024-54303-0.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Source Data for Figure 1 (1.5MB, xlsx)
Source Data for Figure 2 (29.5KB, xlsx)
Source Data for Figure 3 (50.2KB, xlsx)

Data Availability Statement

The data that supports the findings are presented in the article and Supplementary Information. Source data are provided with this paper.

The code used for data analysis and simulation is available from the corresponding author upon request. Source data are provided with this paper.


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