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. 2019 Jan 13;21(1):59. doi: 10.3390/e21010059

Improving the Robustness of Entangled States by Basis Transformation

Xin-Wen Wang 1,2,3,*, Shi-Qing Tang 1,2,3, Yan Liu 1,2, Ji-Bing Yuan 1,2
PMCID: PMC7514166  PMID: 33266775

Abstract

In the practical application of quantum entanglement, entangled particles usually need to be distributed to many distant parties or stored in different quantum memories. In these processes, entangled particles unavoidably interact with their surrounding environments, respectively. We here systematically investigate the entanglement-decay laws of cat-like states under independent Pauli noises with unbalanced probability distribution of three kinds of errors. We show that the robustness of cat-like entangled states is not only related to the overall noise strength and error distribution parameters, but also to the basis of qubits. Moreover, we find that whether a multi-qubit state is more robust in the computational basis or transversal basis depends on the initial entanglement and number of qubits of the state as well as the overall noise strength and error distribution parameters of the environment. However, which qubit basis is conductive to enhancing the robustness of two-qubit states is only dependent on the error distribution parameters. These results imply that one could improve the intrinsic robustness of entangled states by simply transforming the qubit basis at the right moment. This robustness-improving method does not introduce extra particles and works in a deterministic manner.

Keywords: entanglement robustness, cat-like states, local Pauli noises, robustness-enhancement method, basis transformation

1. Introduction

Quantum entanglement, a typical non-classical correlation between quantum systems, is at the center of quantum information science [1,2,3,4]. Most quantum communication, computation, and metrology protocols are based on quantum entanglement [5,6,7]. However, entanglement is very fragile due to the unavoidable interactions between the entangled systems and their surrounding environments [8]. Local system–environment interaction usually happens in the scenarios related to quantum communication and distributed quantum computation where entangled particles are far apart [9,10]. Entanglement decay, resulting from environment-induced decoherence, will negatively affect the quality of related quantum information processing tasks [10,11,12]. The problem on how to harness entanglement of quantum systems against the detrimental effects of the environment is of utmost importance within the vast domain of studies of quantum entanglement, since it is directly connected to the applications of quantum entanglement [13,14]. A variety of strategies have been proposed for protecting quantum entanglement [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33].

Entanglement distillation is a prevalent way to improve the entanglement of distant particles in mixed states [33,34,35,36]. Except for some special scenarios [37,38,39], the initial fidelity (relative to maximally entangled states) or entanglement degree of the source states (input states) in an entanglement distillation protocol must be larger than a threshold [33,34,35,36]. Generally, the higher degree of entanglement the input states have, the higher degree of entanglement the output states have, or the higher the distillation efficiency is, provided that the initial entanglement of the source states meets the threshold requirement. Quantum filtration methods could be used to probabilistically increase the fidelity of source states with particular structures such that it meets the threshold required for an entanglement distillation protocol [40,41]. However, quantum filtering operations may decrease the final distillation efficiency in the case where the entanglement degree of the source states exceeds the required threshold [42]. Enhancing the intrinsic robustness of entangled states is thus of importance [43,44,45,46,47].

Pauli noise is a kind of typical noise for qubits [8,9]. The action of a general Pauli noise on any state ρ of a qubit can be formulated as

E(ρ)=1p2ρ+p2axσxρσx+ayσyρσy+azσzρσz, (1)

where σx, σy, and σz are the conventional three Pauli matrices in the computational basis {|0,|1}. Parameters 0ax,ay,az1 satisfy the normalization condition ax+ay+az=1. Probability 0p1 measures the noise strength and gives also a convenient parametrization of time: p=0 refers to the initial time t=0 and p=1 refers to the asymptotic t limit. Note that the 1/2 factors in Equation (1) are such that an exact fully dephasing channel appears at p=1 and az=1. The particular examples of single-qubit Pauli noises are the depolarizing, phase-flip, bit-flip, and bit-phase-flip channels, which correspond to ax=ay=az=1/3, az=1 (ax=ay=0), ax=1 (ay=az=0), and ay=1 (ax=az=0), respectively. A depolarizing channel describes that the qubit is subjected to bit-flip (σx), phase-flip (σz), and bit-phase-flip (σy) errors with the same probability. In the other three noise channels, only one type of error happens. An entangled state usually displays different robustness in different noise channels [48,49,50,51]. The robustness of different entangled states, even with the same initial entanglement, may be different in the same noise channel [44,47,52].

In many cases, the above-mentioned three types of errors may happen with different probabilities [12,47]. Two examples are listed bellow. Consider that several physical qubits are used to encode one logical qubit. Errors acting on the individual qubits lead to the populations outside the logical subspace. However, active quantum error correction allows one to correct certain errors, while other errors may lead to an error at the logical level. It has been shown that, for a repetition code capable of correcting bit-flip errors, depolarizing noise at the physical level leads to effective Pauli noise with a preferred direction at the logical level [53]. Generally, depolarizing noise acting on physical qubits encoding a logical qubit could be modeled as effective Pauli noise, with unbalanced probability distribution for the three errors, acting on the logical qubit [53]. Another example is provided by thermal baths with infinite temperature, where the decoherence of a qubit can be described by a Pauli map with ax=ayaz [12,44].

In this paper, we investigate the disentanglement features and robustness of n-qubit (n2) cat-like entangled states under the local (independent) Pauli channels where the probabilities of three kinds of errors occurring are not the same. We mainly discuss three issues. One is how the error distribution parameters (ax,ay,az) affect the residual entanglement. Another one is whether the initial entanglement degree of an entangled state has influence on its decay law. The third one is how the qubit basis impacts the entanglement-robustness of cat-like states. What we are most interested in is under which qubit basis (computational or transversal basis) an entangled state is more robust in a noisy environment. We shall show that the answer depends not only on the noise parameters, but also on the entanglement degree of the original entangled state and the number of involved qubits. More interestingly, two-qubit entangled states may exhibit the opposite phenomenon to multi-qubit entangled states.

2. Robustness of Cat-Like States and Its Enhancement Method

When n Pauli noises independently act on n qubits of any state ϱ, the composite n-qubit map M is given by the single-qubit map composition

M(ϱ)=E1E2EkEn(ϱ), (2)

where Ek, with 1kn, corresponds to map (1) acting on the kth qubit. We shall discuss the entanglement-robustness of different n-qubit cat-like states under the map M. The entanglement between any two parts of a decohered state, e.g., one qubit versus the rest, will be measured by the negativity [54,55]. Following Ref. [55], the negativity can be defined as

N(ϱ)=2λmin, (3)

where λmin is the sum of all minus eigenvalues of the partial transpose of the state ϱ. Note that, when the two parts are separable, one should let λmin0. It will be shown that the robustness of an entangled state is dependent on the form of qubit basis, the number of qubits n, the noise strength p, and the error distribution parameters (ax,ay,az). Moreover, two-qubit entangled states express different decoherence behaviours from multi-qubit entangled states.

2.1. Robustness of Cat-Like States in the Computational Basis

For the initial n-qubit (n2) cat-like states

|Φn+=α|0n+β|1n (4)

with α2+β2=1 (for simplicity, α and β are assumed to be real), the amount of entanglement between any two partitions is

Ni=2|αβ|. (5)

When |α|=|β|=1/2, Ni=1 and the n-qubit states in Equation (4) are maximally entangled states. If |α||β|, Ni<1 and these states are partially entangled pure states. The decohered states M(|Φn+) are X states [46,56]. For any bipartition of an n-qubit X matrix, its partial-transpose is still an X matrix with the same dimension. Calculation of the eigenvalues of a 2n×2n-dimensional X matrix is essentially equivalent to diagonalizing 2n1 matrices of dimension 2×2. With these features, one can calculate, in a straightforward way, the negativity N of any bipartition “one qubit versus the rest” of M(|Φn+).

For the phase-flip channel MPF, i.e., az=1, we have

N(az=1)=(1p)nNi. (6)

Obviously, N(az=1) decays exponentially with n, as (1p)n. In fact, all the entanglement in the state |Φn+ under MPF decays (at slowest) exponentially with n. This implies that the state |Φn+ is very fragile to the phase-flip noise.

As to a non-pure phase-damping channel, i.e., az<1, the negativity of any bipartition “one qubit versus the rest” of M(|Φn+) can also be analytically calculated, which is given by (Appendix A)

N=u=0n12n1umax0,GuFu+1+max0,HuFu, (7)

where n12=(n1)/2, for n being odd, or n12=n/21, for n being even, and

Fu=AnuBu+AuBnu, (8)
Gu=Anu1Bu+1Au+1Bnu121Ni2+CnuDu+CuDnu2Ni21/2, (9)
Hu=AnuBuAuBnu21Ni2+Cnu1Du+1+Cu+1Dnu12Ni21/2, (10)
A=1p2+p2az, (11)
B=p2ax+p2ay, (12)
C=1p2p2az, (13)
D=p2axp2ay. (14)

Obviously, the negativity of the decohered state is dependent on both channel parameters (ax,ay,az,p) and the amount of entanglement of the initial state (Ni). In the following, we shall show some interesting results.

We first discuss the case Ni=1, i.e., the original state in Equation (4) is a standard Greenberger–Horne–Zeilinger (GHZ) state (n3) or Bell state (n=2). When the initial state is a standard GHZ, the variation tendency of negativity N of the decohered state with error distribution parameters (ax,ay,az) is related to the overall noise strength p. For a given ay, the increase (decrease) in ax will always lead to increase (decrease) in the negativity N when p is small; however, N may first slowly decrease and then increase (even rapidly) with the increase of ax when p exceeds a threshold (see, e.g., Figure 1). It can be seen from Figure 1 that the threshold of p is usually related to n, and the larger n, the smaller threshold, and that, for a given n, the larger p is, the larger ax the knee point of N happens at. Moreover, the larger n is, N is more dependent on ax, i.e., it is more sensitive to the change of ax. Overall, for given p and ay, the residual entanglement of the decohered GHZ state tends to a maximum when ax1ay. These phenomena imply that the standard GHZ states under the computational basis are the most robust against the noise of σx direction (which is vertical to the qubit-basis direction in the Bloch sphere), and that the variation tendency of the negativity of a decohered state with the weight of the σx-directional noise is slightly modulated by the overall noise strength.

Figure 1.

Figure 1

Negativity of decohered state M(|Φn+), as a function of ax, for different noise strength p, where ay=0 and Ni=1. (a) n=3; (b) n=8.

The Bell state displays different decoherence behaviour from GHZ states. For any given p and ay, N(n=2) is not monotonous with ax and the knee point always happens at ax=(1ay)/2, though ax has a very slight influence on it (see, e.g., Figure 2). Furthermore, N(n=2) takes a maximum when ax equals to zero or 1ay. In other words, when ax<(1ay)/2 (ax>(1ay)/2), the smaller (larger) ax, the larger N(n=2). These results indicate that when the weights of the phase-flip error and bit-flip error are more different, the Bell state is more robust.

Figure 2.

Figure 2

Negativity of decohered state M(|Φ2+), as a function of ax, for different noise strength p, where Ni=1. (a) ay=0,p=0.1; (b) ay=0.2.

One can check another interesting phenomenon that ay has a similar influence with ax on N (see, e.g., Figure 3). This phenomenon could be partly understood from the fact that both eigenvectors of noisy operators σy and σx are vertical to basis vectors |0 and |1 in the Bloch sphere. Moreover, for any given az, N always takes a minimum when ay=(1az)/2, i.e., ay=ax (see Figure 3). This conclusion can be directly obtained from Equation (7) when n=2. As to n>2, it could be explained as follows. The standard GHZ states under the computational basis are the most fragile to the phase-flip error and the most robust against the bit-flip error (will be shown later). On the other hand, the noisy operator σy has both phase-flip and bit-flip actions. Thus, there is a trade-off between the negative effect and positive effect of the weight of the phase-bit-flip error. For a given az, the relation between N and ay is clearly shown in Figure 4. It can be seen from Figure 4 that the influence degree of ay on N is symmetric about ay=(1az)/2 for both Bell and GHZ states, and N takes a maximum when ay equals to zero or 1az.

Figure 3.

Figure 3

Negativity as a function of ax and ay for initial maximally entangled pure state |Φn+ under local decoherence. (a) n=2,p=0.1; (b) n=9,p=0.2.

Figure 4.

Figure 4

Negativities as functions of ay for different initial pure states |Φn+ with Ni=1 under local decoherence, where p=0.1. (a) az=0; (b) az=0.2.

The influence of the channel parameters on the negativity N of the decohered state is also relative to the amount of entanglement Ni of the initial state (4). As examples, Figure 5 and Figure 6 show that, when Ni<1 (i.e., |α||β|), N (for a given ay) exhibits different dynamic behaviour with the variation of ax from the case Ni=1 (i.e., |α|=|β|) for n=2,3, respectively. Specifically, if Ni<1, N(n=2) tends to a minimum when ax1ay (e.g., ay=0), in contrast to the case Ni=1 where N(n=2) tends to a maximum when ax1ay. In the case Ni<1 (e.g., Ni=0.6), N(n=3) takes a maximum at ax=0 when p exceeds a threshold. One can check that, for Ni<1, N(n4) could also take a maximum at ax=0 when p is very large. Note that, if Ni=1, N always reaches a maximum when ax increases to 1ay for any given p and ay, as mentioned above. The difference of the decay behaviours of partially entangled states and maximally ones may be partly understood from the fact that the two distinguishable product states (|0n and |1n) are superposed with unequal weights in the former and equal weight in the latter.

Figure 5.

Figure 5

Negativity of decohered state M(|Φ2+), as a function of ax, for Ni=0.9 (red dots), 0.8 (green stars), or 0.6 (blue triangles), where ay=0,p=0.1.

Figure 6.

Figure 6

Negativity of decohered state M(|Φ3+) versus noisy parameter ax, where ay=0,Ni=0.6.

From Figure 4a, we can also observe that the more larger n, N is more sensitive to the change of ay (or ax), which leads to the fact that when ay tends to zero (ay tends to one) and ax tends to one (ax tends to zero), N(n=M) could be larger than N(n=L) with M>L2. Figure 7 shows the trend of the negativity N with the variation of number of qubits n when ay is near to zero (ay is near to one) and ax is near to one (ax is near to zero). It can be seen from Figure 7 that the total variation tendency of N with n is independent from the initial entanglement Ni. Figure 7 also implies that the optimal n that maximizes the bipartite entanglement of the decohered n-qubit state is dependent on ax (ay) when ay0 (ax0). In Figure 8, we give the aforementioned optimal n for different ax with ay=0. From Figure 8, we can deduce that, when ax is infinitely close to one, the optimal n always tends to infinity.

Figure 7.

Figure 7

Negativity (N) versus n, where p=0.2. Green lines correspond to Ni=1; blue lines correspond to Ni=0.6. Dots correspond to ax=1,ay=0; stars correspond to ax=0.95,ay=0; triangles correspond to ax=0.9,ay=0.1.

Figure 8.

Figure 8

The optimal n (noptimal) that maximizes N for different ax, where Ni=1 and ay=0.

In fact, when ax=1, the channel map M reduces to the bit-flip channel MBF, and we can analytically obtain

EMBF(|Φn+)EMBF(|Φn1+)EMBF(|Φ2+), (15)

where E(·) is an arbitrary entanglement measure. Note that this result is independent from the noise strength p. It can be understood as follows. A single-qubit σx measurement on |Φn+ leaves the system in state |Φn1+|+ or |Φn1|, with |±=(|0+|1)/2 being the eigenstates of σx and |Φn1=α|0n1β|1n1. Similarly, since it commutes with MBF, a σx measurement on ρn+=MBF(|Φn+) leaves the system in ρn1+|++| or ρn1||, with ρn1=MBF(|Φn1). Furthermore, it is immediate to see that ρn1+|++| and ρn1|| are local-unitarily equivalent. Thus, we can say Eρn+Eρn1+. Iterating this reasoning n2 times and, for ease of notation, omitting the tensor-product factors, one can obtain Equation (15). For specific calculation of the negativity given in Equation (7), one can omit the second term in each square bracket because Hu is impossible to be larger than Fu when ax=1.

2.2. Robustness of Cat-Like States in the Transversal Basis

By local Hadamard-gate rotation H=|+0|+|1|, the cat-like state |Φn+ can be transformed into the transversal form, i.e.,

|Φn+T=Hn|Φn+=α|+n+β|n. (16)

The transversal state |Φn+T is local-unitarily equivalent to |Φn+, and thus possesses the same amount and type of entanglement as |Φn. However, it will be shown that |Φn+T may display a very different decoherence behaviour from |Φn+ in the same noisy environment.

The decohered state M(|Φn+T) is also an X state under the transversal qubit-basis {|+,|}. In the local bit-flip channels, i.e., ax=1, the negativity NT of any bipartition “one qubit versus the rest” of M(|Φn+T) is the same as N(az=1) in Equation (6). For ax<1, NT has the same form as Equation (7), but with A,B,C,D being replaced, respectively, by A,B,C,D, which are given by

A=1p2+p2ax, (17)
B=p2az+p2ay, (18)
C=1p2p2ax, (19)
D=p2azp2ay. (20)

The dependency relationship of NT on ax (az) is different from that of N on ax (az). If az=1, the Pauli channel M reduces to the phase-flip channel MPF, the inequalities in Equation (15) also hold for states MPF(|Φn+T). As a matter of fact, the role of az in NT is the same as that of ax in N. The essential cause is that the action of operator σz on the basis states {|+,|} is the same as σx on {|0,|1}, and vice versa. Thus, the result about the influence of ax on the residual entanglement of |Φn+ in the noisy environment described by M shown in the former subsection is also applicable for the influence of az on the residual entanglement of |Φn+T.

The impact of ay on both M(|Φn+T) and M(|Φn+) is the same. This is due to the fact that σy|00|σy=σy|++|σy, σy|11|σy=σy||σy, and σy|01|σy=σy|+|σy, that is, the operator σy has the same effect on a qubit under both bases. If ay=1, i.e., the channel M reduces to the bit-phase-flip channel MBPF, the inequalities in Equation (15) hold for both states MBPF(|Φn+) and MBPF(|Φn+T). It can be understood as follows. A single-qubit σy measurement on |Φn+ leaves the system in state |Φn1|+y or |Φn1+|y, with |±y=(|0±i|1)/2 being the eigenstates of σy and |Φn1±=α|0n1±iβ|1n1. Note that |Φn1± are local-unitarily equivalent to |Φn1+. Similarly, since it commutes with MBPF, a σy measurement on ρn+=MBPF(|Φn+) leaves the system in ρn1|+y+| or ρn1+|y|, with ρn1±=MBPF(|Φn1±). Furthermore, it is immediate to see that ρn1± are local-unitarily equivalent to ρn1+. Thus, we can say Eρn+Eρn1+. Iterating this reasoning n2 times and, for ease of notation, omitting the tensor-product factors, one can obtain Equation (15) for states MBPF(|Φn+). In the same vein, we can also prove the inequalities in (15) for states MBPF(|Φn+T). Specifically, a single-qubit σy measurement on |Φn+T will leave the system in state |Φn1+T|+y or |Φn1T|y, with |Φn1±T=eπi/4α|+n1+e±πi/4β|n1 being local-unitarily equivalent to |Φn1+T. Then, a σy measurement on ρn+T=MBPF(|Φn+T) will leave the system in ρn1+T|+y+| or ρn1T|y|, with ρn1±T=MBPF(|Φn1±T) being local-unitarily equivalent to ρn1+T. Thus, we can conclude Eρn+TEρn1+T. Repeating the process above n2 times, one can verify Equation (15) for states MBPF(|Φn+T).

It should be pointed out again that σy plays the same role as σx in states M(|Φn+) (see Figure 3 and Figure 4) and as σz in states M(|Φn+T). This may be partly understood from the fact that the eigenvectors of both noisy operators σy and σx are transversal to the qubit basis {|0,|1}, and the eigenvectors of both σy and σz are transversal to the qubit basis {|+,|}.

2.3. Enhancing the Robustness of Cat-Like States by Basis Transformation

According to the discussion above, we obtain that, under the local Pauli channels with unbalanced probability distribution for three kinds of errors, the entanglement-robustness of cat-like states are generally related to the qubit basis. This implies that one can enhance the robustness of entangled states by transforming the qubit basis according to preestimated channel features. In this subsection, we investigate in what conditions the basis {|0,|1} is better than {|+,|}, or otherwise. This can be achieved by comparing the negativity NT of M(|Φn+T) and the negativity N of M(|Φn+). If the difference

ΔN=NTN (21)

is larger than zero, it indicates that |Φn+T is more robust than |Φn+. If ΔN<0, it means |Φn+ is more robust than |Φn+T. As mentioned above, the noisy operator σy has the same effect on a qubit under both bases {|+,|} and {|0,|1}; thus, ΔN0 when ay=1. Then, we only need to discuss the case ay<1.

Let us begin by the phase-flip channel az=1. For n=2, it can be directly calculated that ΔN=0 when Ni=1; however, ΔN0 when Ni<1 (see Figure 9). Thus, we can conclude that the two-qubit maximally entangled state (|α|=|β|) has the same robustness under both qubit bases {|+,|} and {|0,|1}, but two-qubit partially entangled states (|α||β|) are more robust in the basis {|0,|1} than in the basis {|+,|}. If consider the possible fact that it is very difficult to make |α| be strictly equal to |β| in experiments, we could say that the basis {|0,|1} is superior to the basis {|+,|} for two-qubit state distribution or storage.

Figure 9.

Figure 9

Variation of ΔN with different p and Ni when az=1 and n=2.

The results for n3 are not the same as that for n=2. If Ni=1, ΔN is always positive for n3, which indicates that the basis {|+,|} overmatches {|0,|1} in keeping the entanglement of standard GHZ states. If Ni<1, however, the sign (positive or minus) of ΔN is dependent on Ni, n, and p. When Ni is less than a threshold Nt, ΔN<0, which means that |Φn+ is more robust than |Φn+T (see, e.g., Figure 10). When Nt<Ni<1, ΔN could also be minus as long as p is larger than a threshold pt depending on Ni (see Figure 10). Generally, for a given n, the larger Ni, the larger pt. In addition, the larger n, the less Nt; when n is very large, Nt0. Nt with different n is given in Figure 11. We plot pt as a function of Ni and n in Figure 12.

Figure 10.

Figure 10

The sign (positive or minus) of ΔN(n=3) for different p and Ni, where az=1. The blue region denotes ΔN<0 and the red region denotes ΔN>0.

Figure 11.

Figure 11

Nt versus n, where az=1.

Figure 12.

Figure 12

pt for different Ni and n, where az=1.

As to the bit-flip channel ax=1, the results are the same as above with exchanging the roles of bases {|0,|1} and {|+,|}. That is, N(n=2)TN(n=2) for any case, N(n3)T<N(n3) for Ni=1, and N(n3)T>N(n3) for Ni<Nt, or Nt<Ni<1 but p>pt.

In the case of az and ax being less than one, az=ax is the dividing line between the two regions of ΔN>0 and ΔN<0 (see, e.g., Figure 13). Specifically, the region of ΔN>0 can be obtained by mirroring that of ΔN<0 in az=ax (see, e.g., Figure 13). This can be understood from the fact that the role of az in NT is the same as that of ax in N, as mentioned above. From Figure 13, we can also see that az (ax) may have the opposite effect in ΔN(n=2) and ΔN(n=3). In other words, for given az and ax, if ΔN>0 for a two-qubit entangled state, ΔN<0 may happen for a three-qubit entangled state. This implies that the sign of ΔN is related to the number of qubits n. Moreover, the sign of ΔN may also be dependent on the initial entanglement Ni. We next analyze the change of the sign of ΔN with az and Ni for given p and ay (keep in mind that ax=1azay, and that the noisy operator σy has the same effect on a qubit under both bases {|+,|} and {|0,|1}). In Figure 14, we show the sign of ΔN with different Ni by taking ay=0 and p=0.1. Figure 14a indicates that ΔN(n=2)0 when az<(1ay)/2 and ΔN(n=2)0 when az>(1ay)/2. Figure 14b, however, indicates that the sign of ΔN(n=3) is dependent on the value of Ni for a given az, i.e., when Ni is larger than a threshold Nt, ΔN(n=3)<0 for az<(1ay)/2 and ΔN(n=3)>0 for az>(1ay)/2, and otherwise ΔN(n=3)>0 for az<(1ay)/2 and ΔN(n=3)<0 for az>(1ay)/2. Generally, the larger n is, the smaller Nt is, and Nt0 when n is very large (see, e.g., Figure 15).

Figure 13.

Figure 13

Regions of ΔN<0 (blue) and ΔN>0 (red) when Ni=0.9 and p=0.1. (a) n=2; (b) n=3.

Figure 14.

Figure 14

Regions of ΔN<0 (blue), ΔN>0 (red), and ΔN=0 (green) when ay=0 and p=0.1. (a) n=2; (b) n=3.

Figure 15.

Figure 15

Regions of ΔN<0 (blue) and ΔN>0 (red) when ay=0 and p=0.1. (a) n=4; (b) n=25.

3. Conclusions

In summary, we investigated the decoherence features and entanglement-robustness of cat-like states in the local Pauli noises where the probabilities of three kinds of errors occurring are not the same. It was shown that the decay law of a cat-like state is not only related to the overall noise strength (p), but also to the error distribution parameters (ax,ay,az), and that the robustness of both two-qubit and multi-qubit states in a given noisy environment is dependent on the basis of qubits. Whether a two-qubit entangled state is more robust in the computational basis {|0,|1} or transversal basis {|+,|} only depends on the error distribution parameters. Specifically, in terms of the entanglement-robustness of two-qubit states, the basis {|+,|} is superior to {|0,|1} when az<(1ay)/2 and {|0,|1} is superior to {|+,|} when az>(1ay)/2. However, which basis can be used to enhance the entanglement-robustness of multi-qubit states is not only dependent on the error distribution parameters, but also on the overall noise strength, the initial degree of entanglement, and the number of qubits. In other words, the better basis for a multi-qubit state may be not the same in different noisy environments, and the better basis for two multi-qubit states may be different in the same noisy environment. These phenomena also lead to another interesting result that the better basis for a two-qubit state and a multi-qubit state with the same degree of bipartite entanglement may be different. That is to say, if a two-qubit state is more robust under the basis {|0,|1}, a multi-qubit state with the same amount of bipartite entanglement may be more robust under the basis {|+,|}. In addition, an M-qubit cat-like state could be more robust than a L-qubit (M>L) cat-like state having the same superposition coefficients with the former under the same qubit basis, although each qubit suffers from a Pauli noise.

The aforementioned results tell us that one could improve the robustness of cat-like entangled states in local Pauli noises by simply transforming the qubit basis. In some scenarios, one can change the basis, according to preestimated channel features, before the qubits undergoing decoherence. In other scenarios, it may be necessary to change the basis during the process of decoherece. Practically, when we should transform the basis depends on the fact of whether the better basis is related to the noise strength p characterizing the decoherence time. This enhancement method is much simpler and more efficient than the others because it does not introduce extra particles and works in a deterministic manner. Due to the inherent relationship between quantum entanglement and quantum coherence [57], it may be interesting to investigate whether or how the basis rotation could contribute to the preservation of quantum coherence that has attracted attention recently [58,59].

Appendix A

For convenience, we define notations j=j1j2jn and j¯=j¯1j¯2j¯n, where jm{0,1} and j¯m=1jm (m=1,2,,n). Under the basis {|j,j=0,,1}, the decohered state M|Φn+ can be denoted by a X matrix ϱ with diagonal and anti-diagonal elements

ϱj,j=An|j|B|j|α2+A|j|Bn|j|β2, (A1)
ϱj,j¯=Cn|j|D|j|+C|j|Dn|j|αβ, (A2)

where |j| denotes the number of “one” in the bit string j, e.g., |0|=0 and |1|=n. A,B,C,D are defined in Equations (11)–(14), respectively. Without loss of generality, we consider the bipartition “qubit one versus the rest”, and introduce a notation j=j1j with j=j2j3jn. Then, the elements of the partial transpose ϱT of ϱ are ϱj1j,j1jT=ϱj1j,j1j and ϱj1j,j¯1j¯T=ϱj¯1j,j1j¯. Calculation of the eigenvalues of the 2n×2n-dimensional X matrix ϱT is essentially equivalent to diagonalizing 2n1 matrices of dimension 2×2, given by

ϱ0j,0jϱ1j,0j¯ϱ0j¯,1jϱ1j¯,1j¯ (A3)

with |j| ranging from 0 to n1. The eigenvalues of these 2×2-dimensional matrices are given by

λ±|j|=12ϱ0j,0j+ϱ1j¯,1j¯±12ϱ0j,0jϱ1j¯,1j¯2+4ϱ1j,0j¯ϱ0j¯,1j. (A4)

It can be directly calculated that

ϱ0j,0j+ϱ1j¯,1j¯=A|j|Bn|j|+An|j|B|j|, (A5)
ϱ0j,0jϱ1j¯,1j¯=An|j|B|j|A|j|Bn|j|1Ni2, (A6)
4ϱ1j,0j¯ϱ0j¯,1j=Cn1|j|D1+|j|+C1+|j|Dn1|j|2Ni2, (A7)

where identity |j|+|j¯|=n1 has been used. Using the definition of negativity given in Equation (3), we have

N=|j|=0n1n1|j|max0,2λ|j|=|j|=0n12n1|j|max0,2λ|j|+|j|=n12+1n1n1|j|max0,2λ|j|=u=0n12n1umax0,HuFu+u=0n12n1umax0,GuFu+1, (A8)

where n12=(n1)/2, for n being odd, or n12=n/21, for n being even, and Fu,Gu,Hu are defined in Equations (8)–(10), respectively.

Author Contributions

X.-W.W. put forward the original idea, contributed to all aspects of this study, and wrote the manuscript. S.-Q.T., Y.L., and J.-B.Y. contributed equally to the calculation and analysis of some results, and the revisions of the manuscript.

Funding

This work was supported by the NSFC (Grant No. 11847010), the Scientific Research Fund of Hunan Provincial Education Department (Grant No. 15A028 and No. 16B036), the HNNSF (Grant No. 2017JJ3005), the Science and Technology Plan Project of Hunan Province (Grant No. 2016TP1020), the Open Fund Project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University (Grant No. IIPA18K07), the Hunan Provincial Applied Basic Research Base of Optoelectronic Information Technology (Grant No. GD18K03), and the Open Fund of Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education (Grant No. QSQC1702).

Conflicts of Interest

The authors declare no conflict of interest.

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