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Quantum witness of a damped and driven qubit by sequential intermediate measurements with uniform and nonuniform time intervals

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Abstract

Measurement can reveal the difference between quantum physics and classical one. Recently, a quantum witness \(W_q\) was proposed to characterize quantumness (Li et al. in Sci Rep 2:885, 2012; Kofler and Brukner in Phys Rev A 87:052115, 2013). It is built upon the no-signaling-in-time condition, and there is only one-time intermediate measurement. As an extension, we consider here multiple intermediate measurements at different moments of time. And we discuss the quantumness of a damped and driven qubit. Uniform, quasiperiodic and random time-interval sequences (TISs) of measurements are considered, respectively. Numerical results show that \(W_q\) depends on the kind of TISs when the number of measurements N is less than 10, while it is almost independent of the kind of TISs when N is larger. Further, \(W_q\le W_q^{max}(N)=(1-\frac{1}{2N}) e^{-\gamma \tau }\) for all cases, where \(\tau \) is the evolution time, \(\gamma \) is the dephasing intensity, and \(W_q^{max}(N)\) is the maximum violation of the quantum witness equality.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (11504179, 11705097, 61271238 and 61475075).

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Correspondence to Longyan Gong.

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Appendices

Appendix A

For uniform TISs, based on Eq. (17) and at the driving amplitude \(\Delta =0.0\), quantum witness is reduced to

$$\begin{aligned} W_q=\frac{1}{2}e^{-\gamma \tau } \left| \cos (\omega _0\tau )-\cos ^{N+1}\left( \frac{\omega _0\tau }{N+1}\right) \right| . {(A1)} \end{aligned}$$

As the number of intermediate measurement times \(N\rightarrow \infty \) and \(\omega _0\tau \) is finite, \(\frac{\omega _0\tau }{N+1}\rightarrow 0\). Using Taylor expansion,

$$\begin{aligned} \cos \left( \frac{\omega _0\tau }{N+1}\right) \approx 1-\frac{1}{2}\left( \frac{\omega _0\tau }{N+1}\right) ^2 {(A2)} \end{aligned}$$

and

$$\begin{aligned} \cos ^{N+1}\left( \frac{\omega _0\tau }{N+1}\right) \approx \left[ 1-\frac{1}{2}\left( \frac{\omega _0\tau }{N+1}\right) ^2\right] ^{N+1}\approx 1-\frac{\omega _0^2\tau ^2}{2(N+1)}. {(A3)} \end{aligned}$$

Therefore,

$$\begin{aligned} W_q\approx \frac{1}{2}e^{-\gamma \tau } \left| \cos (\omega _0\tau )-1+\frac{\omega _0^2\tau ^2}{2(N+1)}\right| . {(A4)} \end{aligned}$$

At \(\omega _0\tau =\pi \), \(W_q\approx [1-\frac{\pi ^2}{4(N+1)}]e^{-\gamma \tau }<W_q^{max}(N)\).

Appendix B

Fig. 6
figure 6

(Color online) a Probability \(p''_+\) and \(p_+\) as functions of time \(\tau \); Inset in a: Partial enlarger for \(\tau \) in the range [10, 12.5]. b Factor \(\chi \) as functions of time \(\tau \). For uniform, quasiperiodic and random TISs, the probability \(p''_+\) are denoted by \(p''^u_+, p''^f_+\) and \(p''^r_+\), and the factor \(\chi \) are denoted by \(\chi _u, \chi _f\) and \(\chi _r\), respectively. Intermediate measurement times \(N=10^4\). The driving amplitude \(\Delta =0.95\), the dephasing intensity \(\gamma =0.2\) and the original transition frequency \(\omega _0=1.0\)

For uniform, quasiperiodic and random TISs, Fig. 4d shows that quantum witness \(W_q\) as function of time \(\tau \) at intermediate measurement times \(N=10^4\). As given in Eq. (17),

$$\begin{aligned} W_q(\tau )=\Big |p_+(\tau )-p''_+(\tau )\Big |, {(B1)} \end{aligned}$$

where \(p_+(\tau )\) and \(p''_+(\tau )\) are the probabilities of the system in the \(|+\rangle \) eigenstate at last moment \(\tau \) in the presence and in the absence of multiple intermediate measurements. As given in Eq. (11),

$$\begin{aligned} p_+(\tau )=\frac{1}{2}\left[ 1+e^{-\gamma \tau } \cos \left( \frac{\Delta \tau ^{2}}{2}+\omega _0\tau \right) \right] ,{(B2)} \end{aligned}$$

so the probability \(p_+(\tau )\) exhibits underdamped behavior, which is shown in Fig. 6a. Based on Eqs. (15) and (16), we define a factor

$$\begin{aligned} \chi =\prod _{n=1}^{N+1}\widetilde{V_{11}}(\tau _n,\tau _{n-1})=\prod _{n=1}^{N+1}\cos \left\{ -\frac{1}{2}(\tau _n-\tau _{n-1})\left[ \Delta (\tau _n+\tau _{n-1})+2\omega _0\right] \right\} ,{(B3)} \end{aligned}$$

then

$$\begin{aligned} p''_+(\tau )=\frac{1}{2}[1+\chi \exp (-\gamma \tau )].{(B4)} \end{aligned}$$

Figure 6a shows that \(p''_+\) exhibits critically damped or overdamped behavior. The inset in Fig. 6a shows that there exist differences among \(p''^u_+, p''^f_+\) and \(p''^r_+\). On the whole, the differences are very small. In Eq.(B4), two factors, i.e., \(\exp (-\gamma \tau )\) and \(\chi \), make the decay of \(p''_+\). Fig. 6b shows that \(\chi \) smoothly decreases with time \(\tau \). In fact, at relative small \(\tau \), the differences among \(\chi _u, \chi _f\) and \(\chi _r\) are small. On the other hand, at relative large \(\tau \), there exist obvious differences among \(\chi _u, \chi _f\) and \(\chi _r\); at the same time, the factor \(\exp (-\gamma \tau )\) is smaller. Therefore, combined the two aspects, there are no obviously differences in \(p''^u_+, p''^f_+\) and \(p''^r_+\).

Appendix C

The system evolves within the range \([0, \tau ]\). The time interval is defined by \(\mu _n=\tau _n-\tau _{n+1}\), so the measurement moment \(\tau _n=\sum _{k=1}^{n}\mu _{k}\). The time interval \(\mu _n\) is generated from the two-point distribution, exponential distribution, normal distribution, respectively.

The two-point distribution is

$$\begin{aligned} \mu = \left\{ \begin{array}{lcl} {\mu (C)} &{}\text {if probability}&{}p<p_c, \\ {\mu (D)} &{}\text {if probability}&{}p\ge p_c. \end{array} \right. {(C1)} \end{aligned}$$

We set \(\mu (C):\mu (D)=1:2\) and \(p_c=0.5\).

The exponential distribution function is

$$\begin{aligned} f(\mu ;\lambda ) = \left\{ \begin{array}{lcl} {\lambda e^{-\lambda \mu }} &{}\text {if}&{}\mu \ge 0, \\ {0} &{}\text {if}&{}\mu <0. \end{array} \right. {(C2)} \end{aligned}$$

We set \(\lambda =1.0\).

The normal distribution function is

$$\begin{aligned} f(\mu ;\nu ,\sigma ) =\frac{1}{\sqrt{2\pi }\sigma }e^{-\frac{(\mu -\nu )^2}{2\sigma ^2}}, {(C3)} \end{aligned}$$

where \(\nu \) is the mean value and \(\sigma \) is the standard deviation. In calculation, we set \(\nu =0.0\) and \(\sigma =1\). At the same time, \(\mu >0\) is used.

Fig. 7
figure 7

(Color online) Quantum witness \(W_q\) as functions of time \(\tau \) with intermediate measurement times a \(N=1\), b \(N=2\), c \(N=10\) and d \(N=10^4\), respectively. For the two-point distribution, exponential distribution, normal distribution, intermediate measurement times N are denoted by \(N_t, N_e\) and \(N_n\), respectively. Here, \(W_q^{max}(N)=(1-\frac{1}{2N})e^{-\gamma \tau }\), the driving amplitude \(\Delta =0.95\), the dephasing intensity \(\gamma =0.2\) and the original transition frequency \(\omega _0=1.0\)

In calculations, the time interval \(\mu _n\) is generated from the above three different distributions. We also set \(\tau _0=0\) and \(\tau _{N+1}=\tau \). At last, \(\tau _n\) is rescaled by the restriction that \(\tau _{N+1}=\tau \). Quantum witness \(W_q\) as functions of time \(\tau \) is shown in Fig. 7a–d, respectively, where \(N=1,2,10\) and \(10^4\). It shows that for all cases, \(W_q(\tau )\le W_q^{max}(N)=(1-\frac{1}{2N}) e^{-\gamma \tau }\). When intermediate measurement times N are tens [Fig. 7a–c], \(W_q\) depends on the kind of TISs, while when N are larger [Fig. 7d], it is almost independent of the kind of TIS.

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Gong, L., Ma, K., Zhao, X. et al. Quantum witness of a damped and driven qubit by sequential intermediate measurements with uniform and nonuniform time intervals. Quantum Inf Process 19, 260 (2020). https://doi.org/10.1007/s11128-020-02765-8

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