Introduction

The dynamical evolution of isolated quantum many-body systems has been a topic of great interest in recent years in the context of non-equilibrium physics. The long time evolution of quantum states provides useful insights about the route to equilibration which is fundamentally very important to study physics related to localization and thermalization. While the time evolution of a many-body state provides actual dynamical behaviour of a system, quantum walk (QW) on the other hand, is an extremely versatile approach to address the dynamical behaviour of interacting systems at the few particle levels.

The phenomenon QW is the quantum analog of classical random walk which deals with the stochastic evolution of quantum walker(s) on a graph1. Due to their relevance in fundamental physics by advancing our understanding of the quantum dynamics of different systems and possible applications in quantum technologies, QWs have attracted enormous attention in recent years2,3,4,5,6,7,8,9 The rapid experimental progress in the last decades have led to the observation of QWs in different systems such as trapped ions, neutral atoms, photons in photonic lattices and waveguides, biological systems etc10,11,12,13,14,15,16,17,18,19,20 at the single particle level. This has further facilitated to study the dynamical properties in systems with disorder, frustration and topological features21,22,23,24,25,26,27,28,29.

Considerable efforts have been made to investigate the role of interactions in the case of QWs for more than one indistinguishable particle in various physical contexts30,31,32,33,34,35,36,37,38,39,40,41,42. The combined effect of the inter-particle interaction and indistinguishability results in interesting features in different systems such as quantum gases in optical lattice37, correlated photon pairs31,43,44, trapped ions11, and superconducting qubits45,46. One such revelation is the spatial bunching of bosons in QWs due to the interaction between the two particles initially located at the same site and the Hanbury-Brown and Twiss (HBT) type interference when the two non-interacting bosons are located at two nearest neighbor sites37,43. In contrast, the presence of strong interactions between two nearest neighbour bosons leads to spatial anti-bunching due to fermionization37,43. These developments have paved the paths for quantum simulations involving a few particles, and this provides a platform to have a bottom-up approach to understand the physics of many-body systems. Owing to their remarkable efficacy of probing many-body physics, QWs have been widely used to study different physical phenomena using both theoretical and experimental approaches37,38,41,47,48,49,50.

On the other hand, the physics of two component systems hosts a completely different scenario compared to the single particle systems. The combined role of inter and intra-component interaction, correlation and statistics play a crucial role in revealing novel physics which have been explored in great detail in the context of the Hubbard models. However, the experimental realization of such systems was made possible in systems of ultracold atoms in optical lattices. Considerable progress has been made in creating and manipulating binary atomic mixtures in optical lattices. Although the experiments using atomic mixtures are extremely complex compared to the single species systems, recent progress on the experimental front has made it possible to access Bose–Bose, Fermi–Fermi and Bose-Fermi mixtures in the absence and presence of optical lattices51,52,53,54,55,56,57. The complexities of such binary mixtures yield significant insights into the interacting spin model, atom-molecule interactions, quantum entanglement, topological phase transitions etc58,59,60,61,62,63,64,65,66,67,68,69. Interestingly, the two component systems with hopping imbalance have shown to reveal exciting new physics in various context58,60,70,71,72,73. Moreover, the dynamics of these constrained systems under proper conditions may reveal a different scenario in terms of transport properties and relaxation which has been investigated in a recent experiment74. While the many-body simulations of such dynamical systems are challenging, the dynamics in the context of QW in such systems may reveal completely different physics which have gained attention in recent years32,75,76,77.

Exploiting the experimental advances in the creation and manipulation of two-component quantum gases in optical lattices, in this work we study the physics characterizing the QW of a two component system in a one-dimensional lattice. To this end we consider a system of two interacting particles of different hopping strength or different mass and show that the combined effect of hopping imbalance and interaction exhibits interesting physics in the two particle QW. Moreover, we show that the choice of initial states also plays an important role in the QW in such hopping imbalanced systems. Before going to the details of our studies, we briefly highlight the important findings which emerge from our analysis. We show that when the two particles start the QW from the same site, a repulsively bound pair78 is formed as a function of inter-particle interaction - a phenomenon similar to the case of two identical particles37,43. However, when the two particles start from two nearest neighbor sites, then the wavefunction of the fast component transmits through the slow component in the absence of interaction. With increase in interaction, the fast component completely gets reflected from the slower one before forming a weak doublon in the limit of weak interaction. However, when the walkers are few sites apart, the behaviour is similar to the previous case except that the doublon formation is not so prominent. Interestingly, when the two particles are initially located far from each other, then both the particles feel the effect of the interaction and reflect from each other.

Model and approach

The Hamiltonian for the model which describes the system under consideration is given by;

$$\begin{aligned} H=-\sum _{\langle i,j\rangle ,\sigma }J_\sigma (a_{i,\sigma }^{\dagger } a_{j,\sigma }+H.c.)+ U\sum _{i}n_{i,\downarrow }n_{i,\uparrow } \end{aligned}$$
(1)

where \(a_{i,\sigma }^{\dagger }\)(\(a_{i,\sigma }\)) is the creation(annihilation) operator of the two components denoted as \(\sigma =\downarrow ,\uparrow \). U is the inter-component interaction strength and \(n_{i,\sigma }=a_{i,\sigma }^{\dagger } a_{i,\sigma }\) is the number operator at i’th site corresponding to each component \(\sigma \). Here, \(J_\sigma \) represents the nearest neighbor hopping matrix element for the component \(\sigma \). The two components are distinguished from each other by introducing the hopping imbalance in the system. For convenience we define \(\delta =J_\downarrow /J_\uparrow \) and the hopping imbalance in the system is incorporated by setting \(\delta \ne 1 \). In our calculations, we consider \(J_\uparrow > J_\downarrow \) and set \(J_\uparrow =1\) as the energy scale which makes all the physical quantities dimensionless. Due to the presence of one particle from each component, the quantum statistics of individual components can be neglected.

Our studies are based on the continuous-time quantum walk (CTQW) approach79,80,81 which is based on the dynamical evolution of an initial state under the influence of a time independent Hamiltonian as shown in Eq. (1) as

$$\begin{aligned} |\Psi (t)\rangle =e^{-iHt/\hbar }|\Psi _{0}\rangle \end{aligned}$$
(2)

where, \(|\Psi _0\rangle \) is the initial state. For our studies we consider different initial states depending upon the initial positions of the particles. Hereafter, we refer to the CTQW as only QW for convenience.

In order to understand the physics of the system, we primarily compute two important physical quantities such as the expectation value of the on-site number operator as

$$\begin{aligned} \langle n_i(t)\rangle =\langle \Psi (t)| \sum _\sigma a_{i,\sigma }^{\dagger }a_{i,\sigma }|\Psi (t)\rangle \end{aligned}$$
(3)

and the two particle correlation function

$$\begin{aligned} \Gamma _{ij} = \langle a_{i,\uparrow }^\dagger a_{j,\downarrow }^\dagger a_{j,\downarrow } a_{i,\uparrow }\rangle \end{aligned}$$
(4)

with the time evolved state \(|\Psi (t)\rangle \). Note that \(\Gamma _{ij}\) defined here as the correlation function between the two components and is different from the two-particle correlation function defined in Refs.37,41,43 for identical particles. For our analysis we compute \(\Gamma _{ij}\) after an evolution time, t. Apart from these two important observables, we also analyze other quantities of interest such as the half-length occupation, point of contact and transmission coefficients which we describe in the following section. In our numerical simulations, we consider a lattice of length \(L=41\) with open boundary condition such that we have 20 sites in the left and right of the central sites with index “0”. In all the cases, we study the QWs by varying U from zero to a large repulsive limit. Note that similar physics is expected for attractive interactions as well. By considering different values of \(\delta \) for different initial states, we study the QWs as discussed in detail in the following section.

Results

Two particles at the same site

In this section, we start with the QW of \(\uparrow \) and \(\downarrow \) particles which are initially located at the central site of the lattice as shown in Fig. 1. The initial state corresponding to this situation is given as ;

$$\begin{aligned} |\Psi (0)\rangle =a_{0,\uparrow }^\dagger a_{0,\downarrow }^\dagger |vac\rangle \end{aligned}$$
(5)

where, \(|vac\rangle \) represents the empty state. Note that in the absence of any hopping imbalance i.e. \(\delta =1\), the system is similar to that of two indistinguishable interacting particles whose QW has already been studied in detail37,43. It has been shown in both theoretical and experimental analysis that when \(\delta =1\), the two particles exhibit bosonic bunching as a function of interaction.

Figure 1
figure 1

The schematic description of the initial states given in Eq. (5).

However, in the present case the introduction of hopping imbalance i.e. \(\delta \ne 1\), makes the particles distinguishable, which may exhibit different features in the QW. In this context, we first consider \(\delta =0.2\) and vary the interaction strength U and analyze the spreading of the on-site particle density, which is depicted in Fig. 2a. It can be seen that for vanishingly small interactions, the two particles exhibit independent particle QW. Due to the difference in hopping strength between the particles, the density profile of the \(\downarrow \) particle spreads at a slower rate compared to the \(\uparrow \) particle, as expected. However, as the strength of interaction increases (\(U=2\)), the density profile exhibits simultaneous features of single and composite particle QW, a result similar to the ones discussed in Ref.37,38. Further increase in interaction to a large value results in only a single profile corresponding to a slow spreading of the density, indicating that the two particles performs QW as a composite object. This feature in the QW can be attributed to the formation of doublons (\(\uparrow \downarrow \)) due to the large onsite interaction78 (see Fig. 9a). Hence, for stronger interaction, the QW of an effective doublon appears, which can be seen as a very slow evolution of the density profile in Fig. 2a for \(U=10\).

Figure 2
figure 2

Shows the QW of two particles with the initial state given in Eq. (5) and \(\delta = 0.2\). (a) Shows the time evolution of the normalized on-site density for different values of U. (b) Shows the normalized correlation functions \(\Gamma _{ij}\) at time \(t=7J^{-1}\), which correspond to the dashed lines in (a). (c, d) shows the on-site density evolution of \(\uparrow \) particle and \(\downarrow \) particle respectively corresponding to the QW shown in (a).

This feature of doublon formation can be clearly seen by separately looking at the evolution of individual particle’s on-site densities \(\langle n_\sigma \rangle \) over the lattice. Clearly, with increasing U, the spreading of both the \(\uparrow \) and \(\downarrow \) particles become slower and identical to each other for large values of U as depicted in Fig. 2c,d respectively. An accurate insight about this doublon formation can be understood by analyzing the two particle correlation matrix \(\Gamma _{ij}\) defined in Eq. (4). We calculate \(\Gamma _{ij}\) after evolving the initial state to \(t=7J^{-1}\) (indicated by the dashed line in Fig. 2a) and plot it in Fig. 2b for different U considered in Fig. 2a. At \(U=0\), the two-particle correlation matrix shows four peaks at four different locations. This feature is different from the \(\delta =1\) case where the four peaks appear at four symmetric positions43 as the wave functions of each non-interacting particle spreads the same distance from the center on either side. However, due to the hopping imbalance, the spreading of the wave functions is not identical for the two particles, and this results in an asymmetry in the position of the peaks in the two-particle correlation matrix. By increasing U, the diagonal part of the matrix start to dominate, and eventually, for large U, only the dominating diagonal part survives, which indicates the formation of doublon (see Fig. 2b).

To further complement the doublon formation we track the wave function expansion velocity as

$$\begin{aligned} v_\sigma (t)=R_\sigma (t)/t ,~~ \mathrm{where}~~ R_\sigma (t)=\left[ \sum _i(i-i_0)^2\langle n_{i,\sigma }(t)\rangle \right] ^{1/2}, \end{aligned}$$
(6)

is the root mean-square displacement of the wave function and \(i_0\) is the central site. In the limit of strong imbalance, the expansion of \(\downarrow \) particle slow. Hence, to check the slowing down of the composite system we plot \(R_\uparrow (t)\) and \(v_\uparrow (t)\) respectively of the \(\uparrow \) particle wave function for different values of \(U=0,~2,~10\) in Fig. 3a,b respectively. It can be seen for \(U=0\), the expansion is fast which gradually slows down as U increases. For \(U=10\), the time evolution of \(v_\uparrow (t)\) is extremely slow indicating the QW of bound pair with reduced effective hopping proportional to \(J_\uparrow J_\downarrow /U\). Although the slow spreading of the wavefunction indicates a possible localization transition38,82, we rule out this possibility by computing the entanglement entropy defined as

$$\begin{aligned} S_A(t)=-Tr[\rho _A(t)~ln\rho _A(t)] \end{aligned}$$
(7)

by dividing the system into two equal subsystems A and B and computing the reduced density matrix \(\rho _A(t)\) as

$$\begin{aligned} \rho _A(t)=Tr_B(|\psi (t)\rangle \langle \psi (t)|). \end{aligned}$$
(8)

We plot the time evolution of \(S_A(t)\) for different values of \(U=0,~2,~5,~10,~20,~50\) in Fig. 4 for \(\delta =0.2\). The entanglement entropy grows initially for all values of U but eventually saturates in the long time evolution indicating no localization38.

Figure 3
figure 3

(a) R(t) and (b) v(t) are plotted for \(U=0,~2\) and 10 corresponding to the expansion of the wave function of \(\uparrow \) particle when \(\delta =0.2\).

Figure 4
figure 4

Shows the time evolution of \(S_A(t)\) for \(U=0,~2,~5,~10,~20,~50\).

Note that the feature of doublon formation is not due to the hopping imbalance, rather it is solely due to the inter-component interaction. However, the condition \(\delta \ne 1\) can influence the doublon formation due to the difference in kinetic energies between the particles. To further understand the effect of hopping imbalance, we check the QW for other values of \(\delta \) such as \(\delta =0.4,~0.6\) and 0.8. For all the cases, the features in the QW remain qualitatively similar (not shown) but the signatures of doublon formation appear at stronger interaction strengths for larger values of \(\delta \). To quantify the doublon formation we compute the quantity defined as

$$\begin{aligned} P = \sum _{i}\Gamma _{ii}=\sum _{i}n_{i,\downarrow }n_{i,\uparrow } \end{aligned}$$
(9)

from the diagonal part of the two particle correlation matrix \(\Gamma _{ij}\) during the time evolution.

In our case, we compute P at time \(t=7J^{-1}\) for each values of \(\delta \) and plot them as a function of U in Fig. 5a. The formation of doublons can be inferred from the behavior of P which asymptotically approaches unity with increase in interaction strength. For comparison, we show P for the two limiting cases i.e. \(\delta =0\) and 1 which correspond to the fully imbalanced and balanced cases respectively. From the figure it can be easily seen that although the effect of \(\delta \) on the pair formation is not so significant, for strong imbalance (small \(\delta \)) the doublon formation happens at a smaller U due to small effective hopping.

To further complement the dependence of doublon formation on \(\delta \) and U we calculate the spatial density imbalance (SDI) between the two components which we define as

$$\begin{aligned} SDI = \sum _{i}|n_{i,\uparrow } - n_{i,\downarrow }|. \end{aligned}$$
(10)

We plot the values of SDI as a function of U for different \(\delta \) in Fig. 5b, calculated at time \(t= 7J^{-1}\) for the initial state given in Eq. (5). It can be seen that for all the cases of hopping imbalance, the values of SDI are finite for smaller U and eventually vanish in the regime of large U. While the vanishing of the SDI for large U is due to the doublon formation - a process similar to the balanced case (\(\delta =1\)), the finite values of SDI for smaller values of U can be attributed to the hopping imbalance.

Figure 5
figure 5

Shows the behaviour of (a) P and (b) SDI as a function of U for different \(\delta \) after a time evolution of the initial state given in Eq. (5) up to \(t=7J^{-1}\).

Two particles at two different sites

In this section, we study the effect of hopping imbalance and interaction on the QW of two particles initially located at two different sites. We show that this situation reveals interesting physics as compared to the one discussed in the previous section where the effect of interaction was noticed in the form of doublon formation. To this end we consider different initial states which can describe various aspects of the QW at different parameter regime. In particular we consider three initial states which are given by

$$\begin{aligned} |\Psi (0)\rangle =a_{0,\uparrow }^\dagger a_{1,\downarrow }^\dagger |vac\rangle \end{aligned}$$
(11)

where the particles are at the nearest neighbor (Fig. 6a),

$$\begin{aligned} |\Psi (0)\rangle =a_{-2,\uparrow }^\dagger a_{2,\downarrow }^\dagger |vac\rangle \end{aligned}$$
(12)

where there are three empty sites between the particles (Fig. 6b) and

$$\begin{aligned} |\Psi (0)\rangle =a_{20,\uparrow }^\dagger a_{20,\downarrow }^\dagger |vac\rangle \end{aligned}$$
(13)

where the particles are initially located at two edges of the lattice (Fig. 6c). Although we have considered other initial states by varying the distance between the particles in our analysis, the above three states can reveal all the relevant physics. In the following we will mainly focus on the QW for all the three different cases mentioned above by analyzing various relevant physical quantities such as the evolution of density, correlation matrix and transmission coefficients. The results arising due to the other initial states will be highlighted when necessary.

Figure 6
figure 6

(ac) depict the schematic description of the initial states given in Eqs. (11), (12) and (13) respectively.

Density evolution

First, we study the behaviour of the on-site densities in the two particles QW by considering different values of \(\delta \) and by varying U. The time evolution of \(\langle n_{i}\rangle \) with the initial states given in Eq. (1113) are depicted in Fig. 7a–c respectively. From the figure, one can see a marked difference compared to the situation where the two particles are initially located at the same site (see Fig. 2a). It can be noticed that there also exist some similarities between the two scenarios at vanishingly small interaction when both the components perform independent particle QWs and the \(\uparrow \) particle (left) spreads faster compared to the \(\downarrow \) particle (right). For finite U, both the particles start to interact with each other after a certain time and position, leading to interesting features in the QW.

When the two particles are initially located at the adjacent sites (Eq. (11) and Fig. 6a), for \(U=0\) the \(\uparrow \) and \(\downarrow \) particles spread independently of each other as can be seen from Fig. 7a. For finite but weak \(U=2\), two different profiles corresponding to slow and fast spreading appear in the QW. This situation indicates the contribution from both single and doublon density evolution37,38. Further increase in the U, the two particles reflect from each other and the situation is similar to the anti bunching of identical bosons37,43. To clearly understand this behaviour we plot the time evolution of P defined in Eq. (9) for different values of \(U=0,~2,~10\) in Fig. 8a–c respectively. Clearly, the probability of pair formation for \(U=0\) and \(U=10\) vanishes with time which remains finite for \(U=2\). The initial growth of P in each case is due to the finite overlap of the two wave functions.

Figure 7
figure 7

Shows the QWs for different initial states and different values of U. Here (ac) depict the total density (normalized) evolution for the three initial states Eqs. (11), (12) and (13) respectively. For results depicted in (a) and (b) \(\delta =0.2\) and for (c) \(\delta =0.4\) has been considered.

Figure 8
figure 8

Time evolution of P for different values of \(\delta \) and (a) for \(U=0\), (b) for \(U=2\) and (c) for \(U=10\) corresponding to the initial state given in Eq. (11).

On the other hand, when the two particles are few sites apart (Eq. 12 and Fig. 6b) and the interaction is finite but weak, the \(\downarrow \) particle acts like a barrier and as a result, the density spreading of the \(\uparrow \) particle shows reflected as well as transmitted components in the propagation as shown in Fig. 7b. As the interaction becomes stronger and stronger, the transmission ceases to occur and the \(\uparrow \) particle wave function gets completely reflected for large enough U. Unlike the previous case, the pair formation is not stable during the time evolution (not shown). The QW for the initial state (Eq. 13 and Fig. 6c), however, gives a very different outcome as can be seen from Fig. 7c. Since the particles are initiated at the edges, we get a unidirectional spread of each particle’s wave function. Due to the hopping imbalance, the density profiles of two particles meet at a point away from the center towards the slow moving particle (\(\downarrow \)). When \(U=0\), the two particles move independently and their wave functions transmit through each other without influencing the QWs of the individual particles. On the other hand, the onset of interaction U leads to the reflection of both the components from each other by reducing the transmission. It can be easily seen that the effect of interaction on the \(\downarrow \) particle is drastic for this case compared to the other two cases. For clarity we also show the on-site density distribution over the entire lattice at a particular instant during the time evolution in Fig. 9b–d for the initial states shown in Eq. (1113). The effect of interaction can be clearly seen as we move from weak to strong interaction regime (I to III) in Fig. 9. For comparison we also show the situation when the two particles start from the central site in Fig. 9a.

Figure 9
figure 9

Shows the onsite densities of \(\downarrow \) (dashed curves) and \(\uparrow \) particle (solid curves) in the lattice for different regimes of interaction such as small (I), intermediate (II) and large (III) after evolving the initial state up to a certain time (t). (ad) correspond to the initial states given in Eqs. (5), (11), (12), (13) respectively. For (ac) \(t=7J^{-1}\), \(\delta =0.2\) and for (d) \(t=20J^{-1}\), \(\delta =0.4\) are considered.

The effect of interaction on the QW can be further understood by analyzing the evolution of the half-length occupation of the individual components which are defined as

$$\begin{aligned} N_{\frac{L}{2},\uparrow } = \sum _{i\le \frac{L}{2}} n_{i,\uparrow } ~ \text {and}~ N_{\frac{L}{2},\downarrow } = \sum _{i\le \frac{L}{2}} n_{i,\downarrow } \end{aligned}$$
(14)

for \(\uparrow \) and \(\downarrow \) component respectively.

The time evolution of \(N_{\frac{L}{2},\uparrow }\) (red dashed curves) and \(N_{\frac{L}{2},\downarrow }\) (blue solid curve) for different values of interactions such as \(U=0\) (circles), \(U=2\) (up triangles) and \(U=10\) (squares) are plotted in Fig. 10a–c for the initial states and hopping imbalance considered in Fig. 7a–c respectively. From the figures it can be seen that initially \(N_{\frac{L}{2},\uparrow }=1\) and \(N_{\frac{L}{2},\downarrow }=0\) as the \(\uparrow \) and the \(\downarrow \) particles reside in the left and the right halves of the system respectively. As the time progresses, different features are visible in the time evolution of \(N_{\frac{L}{2},\uparrow }\) and \(N_{\frac{L}{2},\downarrow }\) for different initial states and interactions due to hopping imbalance.

Figure 10
figure 10

Evolution of half-length occupation \(N_{\frac{L}{2},\uparrow }\) (dashed curves) and \(N_{\frac{L}{2},\downarrow }\) (solid curves) are shown for different interaction strengths such as \(U=0\) (circles), \(U=2\) (triangles) and \(U=10\) (squares). (ac) Correspond to the initial states given in Eqs. (11), (12) and (13) respectively. For (ab) \(\delta =0.2\) and for (c) \(\delta =0.4\) is considered.

In Fig. 10a, for \(U=0\) the value of \(N_{\frac{L}{2},\uparrow }\) (\(N_{\frac{L}{2},\downarrow }\)) initially starts to decrease (increase) as both the wave functions transmit through each other. Eventually both the quantities saturate to a value close to 0.5 due to no reflection from each other. Finite interactions however, lead to reflection of wave functions and hence \(N_{\frac{L}{2},\uparrow }\) saturates to different values larger than 0.5. For sufficiently strong U, \(N_{\frac{L}{2},\uparrow }\) saturates to unity due to complete reflection from the \(\downarrow \) particle. These features can be seen from the curves corresponding to \(U=2\) and 10 in Fig. 10a. Note that the effect on the \(\downarrow \) particle in this process is negligible. For the second case (Fig. 10b), while the long time evolution of \(N_{\frac{L}{2},\uparrow }\) and \(N_{\frac{L}{2},\downarrow }\) exhibit features similar to the case shown in Fig. 10a, the short time evolution behave differently. Up to \(t\sim 1J^{-1}\), the values of \(N_{\frac{L}{2},\uparrow }\) (\(N_{\frac{L}{2},\downarrow }\)) remain equal to 1(0). This is because of the presence of empty sites between the particles at \(t=0\) for which the \(\uparrow \) particle wave function remains entirely on the left half of the lattice before spreading into the right half after \(t=1J^{-1}\). During this time, the occupation by the \(\downarrow \) particle on the left half of the lattice remains zero. After \(t=1J^{-1}\), however, the values of \(N_{\frac{L}{2},\uparrow }\) suddenly decrease up to \(t\sim 2J^{-1}\) and then start to increase for values of \(U\ne 0\). The decrease in the values of \(N_{\frac{L}{2},\uparrow }\) is due to the hopping imbalance for which the \(\uparrow \) and \(\downarrow \) particle wave function interact at a point right from the center of the lattice. Hence, there is a finite propagation of the \(\uparrow \) particle wave function towards the right half of the lattice leading to the decrease in \(N_{\frac{L}{2},\uparrow }\). After \(t=2J^{-1}\), the values of \(N_{\frac{L}{2},\uparrow }\) saturate at higher values as already discussed. On the other hand the values of \(N_{\frac{L}{2},\downarrow }\) increase and saturate after \(t=1J^{-1}\). For the case shown in Fig. 10c, the features are similar to the one shown in Fig. 10b except that the saturation occurs at a later time due to the largest distance between the particles at the initial position. Note that in our analysis we don’t analyze the physics for a very long time evolution. Hence, the contributions arising from reflections from the boundaries are ignored in all the cases except the last case where the quantum walkers are initially located at the edges.

Correlation function

The two-particle correlation function also shows interesting behavior due to the hopping imbalance and interaction. The \(\Gamma _{ij}\) are computed for different values of U considered in Fig. 7 and plotted in Fig. 11a–c for the initial states given in Eq. (1113) respectively. In Fig. 11a–b, for \(U=0\), \(\Gamma _{ij}\) (calculated at time \(t=7J^{-1}\)) shows four peaks due to the fact that the particle wave functions spread equal distance in both directions from the initial position. With the increase in U, the elements in the upper triangle along with the diagonal elements of the \(\Gamma _{ij}\) matrix start to decrease and eventually vanish for large enough U. This is because the two particles avoid each other due to strong repulsion. When the two particles start from the edges Eq. (13), the correlation matrix \(\Gamma _{ij}\) behaves differently compared to the other two cases. In Fig. 11c, we plot \(\Gamma _{ij}\) at time \(t=20J^{-1}\), for which the corresponding local densities of the individual components \(\langle n_\sigma \rangle \) are shown in Fig. 9d. Since for vanishing U the wave functions transmit through each other and travel to the opposite directions, we see only one peak in the correlation matrix. However, for strong enough interaction (\(U>10\)), the peak in the correlation matrix flips to a different position because of strong repulsion between the particles which is also visible from Fig. 7c. Note that there is no doublon formation in these cases.

Figure 11
figure 11

Normalized correlation functions \(\Gamma _{ij}\) are plotted corresponding to the parameters considered in Fig. 7 at a particular instant during the time evolution. \(\Gamma _{ij}\) in (ac) correspond to the initial states of Eq. (11), (12) and (13) respectively. While \(\Gamma _{ij}\) is computed at \(t=7J^{-1}\) for (a, b), for (c) it is computed at \(t=20J^{-1}\).

Effect of distance

From the above discussion, it is understood that the features in the time evolution of densities in the presence of hopping imbalance and interaction have a strong dependence on the initial states. The point of contact of the two particle wave function strongly depends on the distance between the particles. In order to examine this we study the effect of distance between the two particles at the initial position on the QW by defining a general initial state

$$\begin{aligned} |\Psi (0)\rangle =a_{-d,\uparrow }^\dagger a_{d,\downarrow }^\dagger |vac\rangle , \end{aligned}$$
(15)

where d is the distance of the occupied sites from the central one. The point at which the two particles first meet can be computed by tracking the position where the occupancy of both the \(\uparrow \) and \(\downarrow \) particles becomes finite in the entire lattice for the first time during the time evolution. For this purpose we define a quantity

$$\begin{aligned} I_P = \sum _i \langle n_{i,\uparrow }n_{i,\downarrow }\rangle , \end{aligned}$$
(16)

which becomes finite only when any site will have finite densities of both the components during the time evolution. The time evolution of \(I_P\) (red squares) for an exemplary initial state \(|\Psi _0\rangle =a_{-14,\uparrow }^\dagger a_{14,\downarrow }^\dagger |vac\rangle \) of non interacting particles (\(U=0\)) and \(\delta =0.2\) is shown in Fig. 12a. This clearly shows that \(I_P\) becomes finite after a certain time of evolution indicating the point of contact between the two wave functions. The actual point of contact is not easy to estimate from the figure due to the smooth variation of \(I_P\) with time. To estimate the point of contact, we first plot \(dI_P/dt\) (blue circles) as a function of time and obtain the time of contact as the first peak in \(dI_P/dt\) which appears at \(t=12.28J^{-1}\). Then we plot \(\langle n_{i,\uparrow }n_{i,\downarrow }\rangle \) as a function of site index i for different t around \(t=12.28J^{-1}\) such as \(t=10J^{-1},~11J^{-1},~12J^{-1},~13J^{-1} ~\mathrm {and} ~14J^{-1}\) in Fig. 12b. The appearance of large peaks at \(i=10\) for \(t\ge 12\) is a clear indication of the point of contact. We repeat this procedure for different values of d and plot the point of contact as a function of d in Fig. 12c for two different values of \(\delta \). These curves exhibit linear behaviour which can be attributed to the ballistic nature of the QW. Moreover, we find that the slopes of the fitted functions decrease with an increase in \(\delta \). It is to be noted that the point of contact for all d and \(\delta \) is independent of U as expected. However, the dependence of U on d can only be realized after the point of contact which will be discussed in the following subsection.

Figure 12
figure 12

(a) \(I_{P}\) and \(\frac{dI_{P}}{dt}\) are plotted with respect to time. Black dashed line represents the time at which \(\frac{dI_{P}}{dt}\) is maximum. Here we consider the initial state \(|\Psi _0\rangle =a_{-14,\uparrow }^\dagger a_{14,\downarrow }^\dagger |vac\rangle \) and \(\delta =0.2\). (b) The point of contact is shown by plotting \(\left\langle n_{i,\uparrow }n_{i,\downarrow }\right\rangle \) with respect to the site at different times. The time \(t=12.28J^{-1}\) corresponds to the black dashed line of (a). (c) Point of contact of the two particle wave functions are plotted with different d of the initial state \(|\Psi _0\rangle =a_{-d,\uparrow }^\dagger a_{d,\downarrow }^\dagger |vac\rangle \). The red squares and blue circles are the data for \(\delta =0.2\) and 0.6 respectively. The dashed lines are the fitted functions.

Transmission coefficient

The effect of hopping imbalance on the QW is further studied by calculating the transmission coefficient defined as

$$\begin{aligned} T = \sum \limits _{\begin{array}{c} i,j \\ j>i \end{array}} \langle n_{i,\uparrow } n_{j,\downarrow }\rangle . \end{aligned}$$
(17)

which is nothing but the sum over all the upper triangular elements of the correlation matrix. This provides an estimate of the probability of the existence of the \(\uparrow \) particle on the right side region of the \(\downarrow \) particle profile at a particular instant during the QW. In order to understand the behaviour of T of interacting particles with hopping imbalance, we plot T with respect to U for different values of \(\delta \) in Fig. 13a–c for three initial states given in Eqs. (11), (12) and (13) respectively. In all these cases we observe that the values of T decrease with increase in U and gradually vanish in the limit of strong interactions. Moreover, a larger hopping imbalance (i.e. smaller \(\delta \)) leads to a faster decay of T. This indicates that for a large (small) imbalance, the transmission ceases for a weak (strong) interaction U. This is because for small \(\delta \) the on-site density of the \(\downarrow \) particle at the point of contact during the QW is larger compared to the case of larger \(\delta \). Hence, at the point of contact the effective interaction experienced by the \(\uparrow \) particle is stronger for smaller \(\delta \). Note that in Fig. 13c for \(\delta =0\), the T is always zero because the \(\downarrow \) particle is localized at the edge (as \(J_{\downarrow } = 0\)), and the \(\uparrow \) particle can never go past the edge due to the open boundary condition. It can be seen from Fig. 13 that the vanishing up of T is very slow as a function of U for all the cases considered. In order to obtain the value of critical interaction strength (\(U_c\)) for no transmission or complete reflection, we have re-plotted the \(T-U\) plot in the log–log scale (see Fig. 14a) and estimated \(U_c\) by assuming \(T = 10^{-2}\) as the condition for no transmission. Using the above method, we have calculated the values of \(U_c\) for different initial states and plotted them in the \(U_c-\delta \) plane in Fig. 14b. The curves for different initial states exhibit the linear dependence of \(U_c\) with respect to \(\delta \). Moreover, we observe that the critical strength and slope of the curves increase with increasing d. Note that in our analysis, we consider \(U> \max {(J_{\uparrow },J_{\downarrow })}\) to see the effect of U on T.

Figure 13
figure 13

The transmission coefficient T is plotted with respect to U for different values of \(\delta \) by evolving the initial state \(|\Psi (0)\rangle \) to (a) \(t = 7J^{-1}\), (b)\(t = 7J^{-1}\) and \(t = 23J^{-1}\). (ac) Correspond to the results obtained using the initial states given in Eqs. (11), (12) and (13) respectively.

Figure 14
figure 14

(a) The transmission coefficient T is plotted as a function of U for different values of \(\delta \) in the log–log scale for the initial state given in Eq. (13) at \(t = 23J^{-1}\). The dashed line marks \(T=10^{-2}\) which is considered as the critical T for zero transmission and its point of intersection with different curves are the corresponding \(U_c\). (b) The plot between \(U_c\) and \(\delta \) is obtained by evolving the initial states given in Eq. (11) to \(t = 7J^{-1}\) (red stars), Eq. (12) to \(t = 7J^{-1}\) (blue squares) and Eq. (13) to \(t = 23J^{-1}\) (magenta diamonds).

Conclusions

We have studied the QW of a two-component system in the presence of interaction and hopping imbalance in a one-dimensional lattice. By considering different initial states depending on the positions of the particles (\(\uparrow \) and \(\downarrow \) where the \(\uparrow \) particle has higher hopping strength), we have analyzed the combined effect of hopping imbalance and inter-component interaction on the two particle QW. We have found that when the two particles initially start from the central site of the lattice, the QW exhibits independent particle QWs to a QW of composite particles or doublon as a function of repulsive interactions. However, for the initial state with two particles at two different sites (a few sites apart), the \(\uparrow \) particle wave function gets reflected from the \(\downarrow \) particle’s wave function for large enough interactions, and no doublon is formed. On the other hand, when the two particles start from the opposite ends of the lattice, the situation is completely different for strong interactions. In this case, both the \(\uparrow \) and \(\downarrow \) particle wave functions significantly reflect from each other at a point close to the initial position of the \(\downarrow \) particle. While we obtain different behavior compared to the many-body limit depending upon the parameters of the model Hamiltonian, the phenomenon of zero transmission in the limit of large inter-component interaction resemble the phase separation which has been predicted in systems of binary atomic mixtures in optical lattices64,83,84. Moreover, we have obtained that the change in the initial position of the particles leads to a qualitative change in the results. These findings provide insights into the dynamical behavior of a mixture of two component systems in periodic potential at the few particle levels. Due to the recent experimental progress in controlled creation and manipulation of multi-component atomic mixtures in an optical lattice and the single site addressing techniques, our prediction can, in principle, be simulated in quantum gas experiments. While the hopping imbalance can be indirectly obtained by considering a two component atomic mixture of different masses such as \(^{87}\)Rb and \(^{41}\)K atoms56, it will be impossible to tune the hopping imbalance to explore the physics in broader parameter space. Therefore, an appropriate platform can be the mixture of two hyperfine states of a particular atomic species in a state dependent optical lattice where the hopping strengths of each internal state can be independently tuned58,70,71,72,85.