This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

Population transfer under local dephasing

Wei Huang Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China    Wentao Zhang [email protected] Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China    Chu Guo [email protected] Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education, Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications, Hunan Normal University, Changsha 410081, China
Abstract

Stimulated Raman adiabatic passage is a well-known technique for quantum population transfer due to its robustness again various sources of noises. Here we consider quantum population transfer from one spin to another via an intermediate spin which subjects to dephasing noise. We obtain an analytic expression for the transfer efficiency under a specific driving protocol, showing that dephasing could reduce the transfer efficiency, but the effect of dephasing could also be suppressed with a stronger laser coupling or a longer laser duration. We also consider another commonly used driving protocol, which shows that this analytic picture is still qualitatively correct.

I Introduction

Complete population transfer from an initial state to a final state has profound importance in both quantum and classical physics. On the quantum part, it has long been an active research area in quantum optics Kuklinski et al. (1989); Bergmann et al. (1998); Huang et al. (2017), and it is a fundamental technique for the physical realization of quantum information processing Falci et al. (2017); Chen et al. (2018); Kumar et al. (2016); Helm et al. (2018); Chakraborty et al. (2017); Dory et al. (2016). On the classical part, it has been used as a technique to achieve power or intensity inversion in classical systems Bergmann et al. (2019), such as waveguide couplers Huang et al. (2014), wireless energy transfer Rangelov et al. (2011), and graphene systems Huang et al. (2018a, b).

Stimulated Raman adiabatic passage (STIRAP) has been one of the most important techniques for complete population transfer. In its standard implementation, an initial state |1|1\rangle and a final state |3|3\rangle are coupled to a common intermediate state |2|2\rangle, by a pump laser and a Stocks laser respectively Gaubatz et al. (1990). Complete population transfer between states |1|1\rangle and |3|3\rangle can then be achieved if the laser pulses are applied adiabatically and in a counter-intuitive order (the Stocks laser applies first), with the adiabatic condition

θ˙(t)Ω(t).\displaystyle\dot{\theta}(t)\ll\Omega(t). (1)

Here Ω(t)=ΩP2(t)+ΩS2(t)\Omega(t)=\sqrt{\Omega_{P}^{2}(t)+\Omega_{S}^{2}(t)} with ΩP(t)\Omega_{P}(t) and ΩS(t)\Omega_{S}(t) the Rabi frequencies of the pump laser and Stocks laser respectively, and tan(θ(t))=ΩP(t)/ΩS(t)\tan(\theta(t))=\Omega_{P}(t)/\Omega_{S}(t). STIRAP has important advantages that it is robust against to the variations of the experimental conditions Vitanov et al. (2017), and against to the decaying of the intermediate state Glushko and Kryzhanovsky (1992); Fleischhauer and Manka (1996); Vitanov and Stenholm (1997). STIRAP via multiple intermediate states has also been considered Vitanov and Stenholm (1999), as well as generalizations to intermediate state as a continuum Carroll and Hioe (1992, 1993); Nakajima et al. (1994); Vitanov and Stenholm (1997) and a lossy continuum Huang et al. (2019a), where it is shown that significant partial population transfer can still be achieved. Recently, STIRAP via a thermal state or a thermal continuum has been studied, showing that the efficiency of population transfer will be reduced significantly in this case Huang et al. (2019b).

In this work, we focus on the effect of dephasing on the efficiency of population transfer via STIRAP. Dephasing is a common type of noise in quantum systems which induces decay of the off-diagonal terms in the density operator ρ^\hat{\rho}. The standard three-level STIRAP with dephasing for all energy levels has already been considered in Ref. Ivanov et al. (2004), where it is shown that the population of the final state ρ33(t)\rho_{33}(t) approximately satisfies

ρ33=13+23eγ13η,\displaystyle\rho_{33}=\frac{1}{3}+\frac{2}{3}e^{-\gamma_{13}\eta}, (2)

with η=34𝑑tsin2(2θ(t))\eta=\frac{3}{4}\int_{-\infty}^{\infty}dt\sin^{2}\left(2\theta(t)\right). Here ρij\rho_{ij} denotes the element of i|ρ^|j\langle i|\hat{\rho}|j\rangle for i,j{1,2,3}i,j\in\{1,2,3\}, and γij\gamma_{ij} denotes the decay rate of the element ρij\rho_{ij} for iji\neq j. We note that in deriving Eq.(2), the terms proportional to θ˙(t)\dot{\theta}(t) have been neglected and one is left with an expression which is independent of γ12\gamma_{12} or γ23\gamma_{23} or the laser strength Ω(t)\Omega(t).

Here we consider a slightly different physical setup. Concretely, we study population transfer from a spin q1q_{1} to another spin q3q_{3}, via an intermediate spin q2q_{2}. We assume that q2q_{2} subjects to dephasing noise, while q1q_{1} and q3q_{3} are noise-free. The relevant states, namely {|100,|010,|001}\{|100\rangle,|010\rangle,|001\rangle\}, form a three-level system which has a one-to-one correspondence with the standard three-level STIRAP. A possible physical setup of our model is the information transfer between two well-protected cavities via a dephasing channel due to the decoherence. We derive an analytic expression for transfer efficiency under a specific driving protocol. Based on this expression we then obtain an additional adiabatic condition on top of Eq.(1), which is related to the dephasing strength. We show that dephasing reduces the transfer efficiency. However, the effect of dephasing could be suppressed by a stronger laser coupling or a longer laser duration. The paper is organized as follows. We introduce our model in Sec.II. Then in Sec.III, we derive the analytic expression for the transfer efficiency as well as the additional adiabatic condition under which complete population transfer can still be achieved. We show that the analytic expression agrees well with the predictions from the exact quantum master equation in a wide parameter range with numerical simulations. We conclude in Sec.IV.

II Model

Refer to caption
Figure 1: Population transfer from spin q1q_{1} to q3q_{3} via an intermediate spin q2q_{2} which subjects to dephasing noise with strength γ\gamma. The pump laser ΩP(t)\Omega_{P}(t) couplings q1q_{1} and q2q_{2} while the Stocks laser ΩS(t)\Omega_{S}(t) couples q2q_{2} and q3q_{3}. The initial state |q1q2q3|q_{1}q_{2}q_{3}\rangle of the system is chosen as |100|100\rangle and the final state would be |001|001\rangle if complete population transfer is achieved.

Our model consists of three spins in which the intermediate spin acts as a bus for population transfer and subjects to dephasing, which is shown in Fig. 1. The quantum Lindblad master equation describes the equation of motion Lindblad (1976); Gorini et al. (1976), which is

dρ^(t)dt=i[H^(t),ρ^]+𝒟(ρ^),\displaystyle\frac{d\hat{\rho}(t)}{dt}=-{\rm i}[\hat{H}(t),\hat{\rho}]+\mathcal{D}(\hat{\rho}), (3)

where the Hamiltonian H^(t)\hat{H}(t) takes the form

H^(t)=\displaystyle\hat{H}(t)= Δj=13σ^jz+ΩP(t)(σ^1+σ^2+σ^1σ^2+)\displaystyle\Delta\sum_{j=1}^{3}\hat{\sigma}^{z}_{j}+\Omega_{P}(t)\left(\hat{\sigma}^{+}_{1}\hat{\sigma}^{-}_{2}+\hat{\sigma}^{-}_{1}\hat{\sigma}^{+}_{2}\right)
+ΩS(t)(σ^2+σ^3+σ^2σ^3+),\displaystyle+\Omega_{S}(t)\left(\hat{\sigma}^{+}_{2}\hat{\sigma}^{-}_{3}+\hat{\sigma}^{-}_{2}\hat{\sigma}^{+}_{3}\right), (4)

with Δ\Delta the energy difference for all spins. The pump laser ΩP(t)\Omega_{P}(t) couples the 11-th spin to the 22-th spin, while the Stocks laser couples the 33-th spin to the 22-th spin. The dissipator 𝒟\mathcal{D} takes the form

𝒟(ρ^)=γ(σ^2zρ^σ^2zρ^),\displaystyle\mathcal{D}(\hat{\rho})=\gamma\left(\hat{\sigma}^{z}_{2}\hat{\rho}\hat{\sigma}^{z}_{2}-\hat{\rho}\right), (5)

with γ\gamma the dephasing strength. The Hamiltonian as well as the dissipation conserves the total number of excitations. Since the initial state in the context of STIRAP is chosen as |100|100\rangle, we are restricted to a subspace spanned by three states {|100,|010,|001}\{|100\rangle,|010\rangle,|001\rangle\} only. We can see that our model remains the same if the intermediate spin is replaced by a dephasing bosonic mode and rotating wave approximation is applied to the spin-boson couplings, where the intermediate bosonic mode may be physically implemented using a cavity as the ”flying qubit”. It is also possible to generalize the intermediate state in our model as a chain of spins as in straddle STIRAP Vitanov (1998); Vitanov et al. (1998), or a bosonic continuum Huang et al. (2019a, b) under dephasing.

Now using the mapping

|100|1,|010|2,|001|3,\displaystyle|100\rangle\leftrightarrow|1\rangle,|010\rangle\leftrightarrow|2\rangle,|001\rangle\leftrightarrow|3\rangle, (6)

the Hamiltonian in Eq.(II) can be rewritten in the basis of {|1,|2,|3}\{|1\rangle,|2\rangle,|3\rangle\} as

H^(t)=[0ΩP(t)0ΩP(t)0ΩS(t)0ΩS(t)0],\displaystyle\hat{H}(t)=\left[\begin{array}[]{ccc}0&\Omega_{P}(t)&0\\ \Omega_{P}(t)&0&\Omega_{S}(t)\\ 0&\Omega_{S}(t)&0\end{array}\right], (10)

and the dissipator 𝒟\mathcal{D} can be written as

𝒟(ρ^)=γ(F^ρ^F^ρ^)=2γ[0ρ120ρ210ρ230ρ320],\displaystyle\mathcal{D}(\hat{\rho})=\gamma\left(\hat{F}\hat{\rho}\hat{F}^{\dagger}-\hat{\rho}\right)=-2\gamma\left[\begin{array}[]{ccc}0&\rho_{12}&0\\ \rho_{21}&0&\rho_{23}\\ 0&\rho_{32}&0\end{array}\right], (14)

with

F^=[100010001]\displaystyle\hat{F}=\left[\begin{array}[]{ccc}-1&0&0\\ 0&1&0\\ 0&0&-1\end{array}\right] (18)

being the operator σ^2z\hat{\sigma}^{z}_{2} in the new basis. Compared to the model studied in Ref. Ivanov et al. (2004), we can see from Eq.(14) that we have γ13=0\gamma_{13}=0. In this case Eq.(2) predicts complete population transfer irrespective of the value of γ\gamma. However as will be clear later, γ\gamma would significantly suppress the transfer efficiency in this case if it is comparable to other parameters such as Ω(t)\Omega(t). Therefore in the following we perform a more refined calculation for the population transfer efficiency which would allow us the see more clearly the role of dephasing.

III Results and discussions

The Hamiltonian in Eq.(10) can be diagonalized with three instaneous eigenstates

|+=\displaystyle|+\rangle= 22(sin(θ)|1+|2+cos(θ)|3);\displaystyle\frac{\sqrt{2}}{2}\left(\sin(\theta)|1\rangle+|2\rangle+\cos(\theta)|3\rangle\right); (19)
|d=\displaystyle|d\rangle= cos(θ)|1sin(θ)|3;\displaystyle\cos(\theta)|1\rangle-\sin(\theta)|3\rangle; (20)
|=\displaystyle|-\rangle= 22(sin(θ)|1|2+cos(θ)|3),\displaystyle\frac{\sqrt{2}}{2}\left(\sin(\theta)|1\rangle-|2\rangle+\cos(\theta)|3\rangle\right), (21)

corresponding to eigenvalues Ω(t)\Omega(t), 0, and Ω(t)-\Omega(t) respectively. In the ideal three-level STIRAP, one adiabatically changes θ(t)\theta(t) from 0 to π/2\pi/2 by tuning the ratio ΩP(t)/ΩS(t)\Omega_{P}(t)/\Omega_{S}(t) such that once the initial state is chosen to be |1|1\rangle, it will always remain in |d|d\rangle. The unitary matrix WW to diagonalize H^(t)\hat{H}(t) can be written as

W(θ)=[22sin(θ)cos(θ)22sin(θ)2202222cos(θ)sin(θ)22cos(θ)].\displaystyle W(\theta)=\left[\begin{array}[]{ccc}\frac{\sqrt{2}}{2}\sin(\theta)&\cos(\theta)&\frac{\sqrt{2}}{2}\sin(\theta)\\ \frac{\sqrt{2}}{2}&0&-\frac{\sqrt{2}}{2}\\ \frac{\sqrt{2}}{2}\cos(\theta)&-\sin(\theta)&\frac{\sqrt{2}}{2}\cos(\theta)\end{array}\right]. (25)

To gain better insight into the time evolution, we go to the adiabatic picture, in which the Eq.(3) becomes Ivanov et al. (2004)

dρ^adt=i[H^a,ρ^a][M,ρ^a]+𝒟a(ρ^a).\displaystyle\frac{d\hat{\rho}_{a}}{dt}=-{\rm i}[\hat{H}_{a},\hat{\rho}_{a}]-[M,\hat{\rho}_{a}]+\mathcal{D}_{a}(\hat{\rho}_{a}). (26)

Here ρ^a\hat{\rho}_{a}, H^a\hat{H}_{a}, 𝒟a\mathcal{D}_{a} are the corresponding operators to ρ^\hat{\rho}, H^\hat{H}, 𝒟\mathcal{D} respectively in the adiabatic basis {|+,|d,|}\{|+\rangle,|d\rangle,|-\rangle\}, which can be written as

ρ^a=\displaystyle\hat{\rho}_{a}= Wρ^W=[ρ++ρ+dρ+ρd+ρddρdρ+ρdρ];\displaystyle W^{\dagger}\hat{\rho}W=\left[\begin{array}[]{ccc}\rho_{++}&\rho_{+d}&\rho_{+-}\\ \rho_{d+}&\rho_{dd}&\rho_{d-}\\ \rho_{-+}&\rho_{-d}&\rho_{--}\end{array}\right]; (30)
H^a(t)=\displaystyle\hat{H}_{a}(t)= WH^W=Ω(t)[100000001];\displaystyle W^{\dagger}\hat{H}W=\Omega(t)\left[\begin{array}[]{ccc}1&0&0\\ 0&0&0\\ 0&0&-1\end{array}\right]; (34)
𝒟a(ρ^a)=\displaystyle\mathcal{D}_{a}(\hat{\rho}_{a})= γ(F^aρ^aF^aρ^a),\displaystyle\gamma\left(\hat{F}_{a}\hat{\rho}_{a}\hat{F}^{\dagger}_{a}-\hat{\rho}_{a}\right), (35)

with

F^a=\displaystyle\hat{F}_{a}= WF^W=[001010100].\displaystyle W^{\dagger}\hat{F}W=\left[\begin{array}[]{ccc}0&0&-1\\ 0&-1&0\\ -1&0&0\end{array}\right]. (39)

Here we have used ρuv\rho_{uv} with u,v{+,d,}u,v\in\{+,d,-\} to denote the element u|ρ^a|v\langle u|\hat{\rho}_{a}|v\rangle. The gauge matrix MM satisfies

M=WW˙=22θ˙[010101010],\displaystyle M=W^{\dagger}\dot{W}=\frac{\sqrt{2}}{2}\dot{\theta}\left[\begin{array}[]{ccc}0&-1&0\\ 1&0&1\\ 0&-1&0\end{array}\right], (43)

which results from the time dependence of the adiabatic basis. Now substituting Eqs.(34, 35, 43) into Eq.(26), we get the following set of equations

ρ˙++=\displaystyle\dot{\rho}_{++}= 22θ˙(ρd++ρ+d)+γ(ρρ++);\displaystyle\frac{\sqrt{2}}{2}\dot{\theta}\left(\rho_{d+}+\rho_{+d}\right)+\gamma\left(\rho_{--}-\rho_{++}\right); (44a)
ρ˙=\displaystyle\dot{\rho}_{--}= 22θ˙(ρd+ρd)+γ(ρ++ρ);\displaystyle\frac{\sqrt{2}}{2}\dot{\theta}\left(\rho_{d-}+\rho_{-d}\right)+\gamma\left(\rho_{++}-\rho_{--}\right); (44b)
ρ˙dd=\displaystyle\dot{\rho}_{dd}= 22θ˙(ρ+d+ρd++ρd+ρd);\displaystyle-\frac{\sqrt{2}}{2}\dot{\theta}\left(\rho_{+d}+\rho_{d+}+\rho_{d-}+\rho_{-d}\right); (44c)
ρ˙+d=\displaystyle\dot{\rho}_{+d}= iΩρ+d22θ˙(ρdd+ρ+++ρ+)\displaystyle-{\rm i}\Omega\rho_{+d}-\frac{\sqrt{2}}{2}\dot{\theta}\left(-\rho_{dd}+\rho_{++}+\rho_{+-}\right)
+γ(ρdρ+d);\displaystyle+\gamma\left(\rho_{-d}-\rho_{+d}\right); (44d)
ρ˙d=\displaystyle\dot{\rho}_{d-}= iΩρd22θ˙(ρdd+ρ++ρ)\displaystyle-{\rm i}\Omega\rho_{d-}-\frac{\sqrt{2}}{2}\dot{\theta}\left(-\rho_{dd}+\rho_{+-}+\rho_{--}\right)
+γ(ρd+ρd);\displaystyle+\gamma\left(\rho_{d+}-\rho_{d-}\right); (44e)
ρ˙+=\displaystyle\dot{\rho}_{+-}= 2iΩρ++22θ˙(ρd+ρ+d)\displaystyle-2{\rm i}\Omega\rho_{+-}+\frac{\sqrt{2}}{2}\dot{\theta}\left(\rho_{d-}+\rho_{+d}\right)
+γ(ρ+ρ+),\displaystyle+\gamma\left(\rho_{-+}-\rho_{+-}\right), (44f)

We note that in Ref. Ivanov et al. (2004), the second term in Eq.(26) is neglected since it depends on θ˙\dot{\theta} which is assumed to be small. However in our case if this term is neglected, we will arrive at a solution where the population is trapped in |d|d\rangle, since it is a dark state of the dissipator 𝒟a\mathcal{D}_{a}.

The set of Eqs.(44) are difficult to solve analytically in general. However, they can be significantly simplified with several reasonable assumptions. First, in the context of STIRAP, the adiabatic condition in Eq.(1) requires θ˙\dot{\theta} to be smaller compared to other relevant parameters. Second, we assume that in the adiabatic basis the off-diagonal terms of ρ^a\hat{\rho}_{a} are small, that is ρuv1\rho_{uv}\ll 1 if uvu\neq v. Now we subtract Eq.(44b) from Eq.(44a) and get an equation for g=ρ++ρg=\rho_{++}-\rho_{--} as

g˙=22θ˙(ρd++ρ+dρdρd)2γg.\displaystyle\dot{g}=\frac{\sqrt{2}}{2}\dot{\theta}\left(\rho_{d+}+\rho_{+d}-\rho_{d-}-\rho_{-d}\right)-2\gamma g. (45)

The first term on the right-hand side of Eq.(45) contains θ˙\dot{\theta} and ρd++ρ+dρdρd\rho_{d+}+\rho_{+d}-\rho_{d-}-\rho_{-d} which are both small numbers. Thus we neglect this term and get g˙=2γg\dot{g}=-2\gamma g. Since g(t)g(t) is initially 0, and get g(t)=0g(t)=0 for all tt, namely

ρ++(t)=ρ(t).\displaystyle\rho_{++}(t)=\rho_{--}(t). (46)

Similarly, subtracting Eq.(44e) from Eq.(44d), we get an equation for h=ρ+dρdh=\rho_{+d}-\rho_{d-} as

h˙=iΩhγ(h+h),\displaystyle\dot{h}=-{\rm i}\Omega h-\gamma(h+h^{\ast}), (47)

where we have used ρ++(t)=ρ(t)\rho_{++}(t)=\rho_{--}(t). Now since h(t)h(t) is initially 0, from Eq.(47) we have h(t)=0h(t)=0 for all tt, namely

ρ+d(t)=ρd(t).\displaystyle\rho_{+d}(t)=\rho_{d-}(t). (48)

Finally, the second term on the right-hand side of Eq.(44f) can be neglected for the same reason, and we get

ρ˙+=2iΩρ++γ(ρ+ρ+).\displaystyle\dot{\rho}_{+-}=-2{\rm i}\Omega\rho_{+-}+\gamma\left(\rho_{-+}-\rho_{+-}\right). (49)

Since ρ+\rho_{+-} is initially 0, from Eq.(49) we get

ρ+(t)=0\displaystyle\rho_{+-}(t)=0 (50)

for all tt. Substituting Eqs.(46, 48, 50) back into Eqs.(44), and assuming ρ+d=a+ib\rho_{+d}=a+{\rm i}b with a(t)a(t) and b(t)b(t) real functions, we get the following closed set of equations for ρdd\rho_{dd}, aa, bb

ρ˙dd=\displaystyle\dot{\rho}_{dd}= 22θ˙a;\displaystyle-2\sqrt{2}\dot{\theta}a; (51a)
a˙=\displaystyle\dot{a}= Ωb24θ˙(13ρdd);\displaystyle\Omega b-\frac{\sqrt{2}}{4}\dot{\theta}\left(1-3\rho_{dd}\right); (51b)
b˙=\displaystyle\dot{b}= Ωa2γb.\displaystyle-\Omega a-2\gamma b. (51c)

Eqs.(51) are still difficult to solve analytically since their coefficients are time-dependent in the general case.

Refer to caption
Figure 2: (a) The driving protocol as in Eq.(52) at Ω0=2\Omega_{0}=2 and T0=40T_{0}=40, the yellow and green solid lines represent ΩP(t)\Omega_{P}(t) and ΩS(t)\Omega_{S}(t) respectively. (b) The green, yellow, blue lines from top down show the final occupation on the dark state |d|d\rangle, ρdd\rho_{dd}, as a function of time tt for γ=0,2,4\gamma=0,2,4 respectively. (c) The green, yellow, blue lines from down to top show ρdd\rho_{dd} as a function of time tt for Ω0=2,4,6\Omega_{0}=2,4,6, respectively. (d) The green, yellow, blue lines from down to top show ρdd\rho_{dd} as a function of time tt for T0=40,120,200T_{0}=40,120,200 respectively. In (b,c,d) the solid and dashed lines represent the exact numerical solutions from Eq.(26) and the analytic solutions from Eq.(53), respectively. The other parameters used are γ=2\gamma=2, Ω0=2\Omega_{0}=2, T0=40T_{0}=40 if not particularly specified.

In the following, we consider a specific driving protocol as follows:

ΩP(t)=Ω0sin(πt2T0);\displaystyle\Omega_{P}(t)=\Omega_{0}\sin(\frac{\pi t}{2T_{0}}); (52a)
ΩS(t)=Ω0cos(πt2T0),\displaystyle\Omega_{S}(t)=\Omega_{0}\cos(\frac{\pi t}{2T_{0}}), (52b)

where Ω0\Omega_{0} denotes the strength of the laser coupling and T0T_{0} is the total duration of it. We can see that ΩP(0)/ΩS(0)=0\Omega_{P}(0)/\Omega_{S}(0)=0 and ΩP(T0)/ΩS(T0)=\Omega_{P}(T_{0})/\Omega_{S}(T_{0})=\infty. The advantage of the protocol in Eq.(52) is that we have Ω(t)=Ω0\Omega(t)=\Omega_{0}, θ(t)=πt2T0\theta(t)=\frac{\pi t}{2T_{0}} and θ˙=π2T0\dot{\theta}=\frac{\pi}{2T_{0}}. We further assume that in Eqs.(51) a(t)a(t) and b(t)b(t) are slowly varying variables compared to ρ00(t)\rho_{00}(t). As a result we can set a˙=b˙=0\dot{a}=\dot{b}=0 and then Eqs.(51a) can be solved as

ρdd(t)=13+23e3χt,\displaystyle\rho_{dd}(t)=\frac{1}{3}+\frac{2}{3}e^{-3\chi t}, (53)

with

χ=2γθ˙2Ω2.\displaystyle\chi=\frac{2\gamma\dot{\theta}^{2}}{\Omega^{2}}. (54)

To check the validity of Eq.(53), we compared it with the exact numerical solutions from Eq.(26). In Fig.3(a) we show an instance of the driving protocol in Eq.(52). In Fig. 3(b, c, d) we compare ρdd\rho_{dd} predicted by Eq.(53) and by Eq.(26) as functions of time tt versus different values of γ\gamma, Ω0\Omega_{0}, T0T_{0} respectively. We can see that our analytic prediction agrees very well with the exact solution in a wide parameter range we have considered.

To this end we discuss the implications of our analytic solution in Eq.(53). From Eq.(20) we have ρ33(T0)=ρdd(T0)\rho_{33}(T_{0})=\rho_{dd}(T_{0}). Therefore the final occupation of ρdd(T0)\rho_{dd}(T_{0}) represents the population transfer efficiency. Then from Eq.(53) we have

ρ33(T0)=13+23e3πγθ˙Ω2,\displaystyle\rho_{33}(T_{0})=\frac{1}{3}+\frac{2}{3}e^{-\frac{3\pi\gamma\dot{\theta}}{\Omega^{2}}}, (55)

where we have used θ˙T0=π/2\dot{\theta}T_{0}=\pi/2. We can see that ρ33(T0)\rho_{33}(T_{0}) decreases exponentially with γ\gamma. However, the effect of dephasing can be made arbitrarily small if we increase laser coupling strength Ω\Omega or increase the laser duration (such that θ˙\dot{\theta} will be smaller). Interestingly, based on Eq.(55) we can define an additional adiabatic condition on top of Eq.(1) which takes the dephasing strength into account. The additional adiabatic condition is simply 3χT01-3\chi T_{0}\ll 1, which is

θ˙Ω23πγ.\displaystyle\dot{\theta}\ll\frac{\Omega^{2}}{3\pi\gamma}. (56)

Complete population transfer can still be achieved as long as Eqs.(1, 56) are both satisfied. Now for comparison, we have η=3T0/8\eta=3T_{0}/8 in Eq.(2) under the driving protocol in Eq.(52), that is, the population transfer efficiency is independent of Ω\Omega, but decreases exponentially both with γ13\gamma_{13} and T0T_{0}. Therefore complete population transfer can never be achieved as long as γ130\gamma_{13}\neq 0, since we can neither tune θ˙\dot{\theta} to be very small (T0T_{0} will be very larger) or very large (which breaks the adiabatic condition in Eq.(1)).

Refer to caption
Figure 3: (a,c,e) The final occupation on the dark state |d|d\rangle, ρdd\rho_{dd}, as a function of γ\gamma, Ω0\Omega_{0} and T0T_{0} respectively. The green dashed line with circle represents the exact solutions of Eq.(26), while the yellow dashed line with ++ represents the analytic solutions of Eqs.(51). (b, d, f) ρdd\rho_{dd} as a function of tt for γ=1\gamma=1, for Ω0=8\Omega_{0}=8, and for T0=192T_{0}=192 respectively. The green solid line and the yellow dashed line stand for the exact solutions of Eq.(26) and analytic solutions of Eq.(51) respectively. The other parameters used are τ=1\tau=1, γ=2\gamma=2, Ω0=2\Omega_{0}=2, T0=16T_{0}=16 if not particularly specified.

Our analytic solution in Eq.(53) does not hold for general laser driving protocols. To show the validity of the physical picture we obtained based on the specific driving protocol in Eq.(52), we numerically study the effect of local dephasing under the commonly used Gaussian driving protocol as follows

ΩP(t)=\displaystyle\Omega_{P}(t)= Ω0exp((tτ/2T0/2)2T2);\displaystyle\Omega_{0}\exp\left(-\frac{\left(t-\tau/2-T_{0}/2\right)^{2}}{T^{2}}\right); (57)
ΩS(t)=\displaystyle\Omega_{S}(t)= Ω0exp((t+τ/2T0/2)2T2).\displaystyle\Omega_{0}\exp\left(-\frac{\left(t+\tau/2-T_{0}/2\right)^{2}}{T^{2}}\right). (58)

Here TT denotes the width of the Gaussian laser coupling, τ\tau is the delay between the two lasers, T0T_{0} is the duration of the lasers which we choose as T0=8TT_{0}=8T. The population ρdd\rho_{dd} on the dark state |d|d\rangle as functions of γ\gamma, Ω0\Omega_{0} and T0T_{0}, are shown in Fig. 2, where we have also checked the validity of Eqs.(51) by comparing its solutions to the exact solutions from Eq.(26). From Fig. 2(a), we can see that dephasing can significantly suppress population transfer. While from Fig.2(c, e), we can see that significant population transfer can be restored by increasing Ω0\Omega_{0} or T0T_{0}. This demonstrates that the physical picture obtained from our analytic solution is still valid for other laser driving protocols. Additionally, we can see that the simplified set of equations as in Eqs.(51) agree very well with the exact Lindblad equation in the wide parameter range considered in Fig. 3.

IV Conclusion

To summarize, we have considered population transfer using STIRAP between two spins via an intermediate spin which subjects to dephasing, while these two spins themselves are dephasing-free. We derive an analytic expression for the population transfer efficiency under a specific laser driving protocol. Based on the analytical expression, we obtain an additional adiabatic condition which is related to the strength of dephasing, under which complete population transfer could still be achieved. We show that population transfer efficiency would be reduced by dephasing, but could be restored by using a stronger laser coupling or a longer laser duration. We have also shown that this physical picture is still qualitatively correct for the commonly used Gaussian type of laser driving. Our result is helpful for a better understanding the effect of dephasing on the quantum population transfer based on STIRAP.

Acknowledgements.
This work is acknowledged for funding National Science and Technology Major Project (2017ZX02101007-003), National Natural Science Foundation of China (61965005). W.H. is acknowledged for funding from Guangxi oversea 100 talent project and W.Z. is acknowledged for funding from Guangxi distinguished expert project. C. G acknowledges support from National Natural Science Foundation of China under Grant No. 11805279.

References

  • Kuklinski et al. (1989) J. Kuklinski, U. Gaubatz, F. T. Hioe,  and K. Bergmann, Physical Review A 40, 6741 (1989).
  • Bergmann et al. (1998) K. Bergmann, H. Theuer,  and B. Shore, Reviews of Modern Physics 70, 1003 (1998).
  • Huang et al. (2017) W. Huang, B. W. Shore, A. Rangelov,  and E. Kyoseva, Optics Communications 382, 196 (2017).
  • Falci et al. (2017) G. Falci, P. Di Stefano, A. Ridolfo, A. D’Arrigo, G. Paraoanu,  and E. Paladino, Fortschritte der Physik 65, 1600077 (2017).
  • Chen et al. (2018) Y.-H. Chen, Z.-C. Shi, J. Song, Y. Xia,  and S.-B. Zheng, Annalen der Physik 530, 1700351 (2018).
  • Kumar et al. (2016) K. Kumar, A. Vepsäläinen, S. Danilin,  and G. Paraoanu, Nature communications 7, 10628 (2016).
  • Helm et al. (2018) J. L. Helm, T. P. Billam, A. Rakonjac, S. L. Cornish,  and S. A. Gardiner, Physical review letters 120, 063201 (2018).
  • Chakraborty et al. (2017) T. Chakraborty, J. Zhang,  and D. Suter, New Journal of Physics 19, 073030 (2017).
  • Dory et al. (2016) C. Dory, K. A. Fischer, K. Müller, K. G. Lagoudakis, T. Sarmiento, A. Rundquist, J. L. Zhang, Y. Kelaita,  and J. Vučković, Scientific reports 6, 25172 (2016).
  • Bergmann et al. (2019) K. Bergmann, H.-C. Nägerl, C. Panda, G. Gabrielse, E. Miloglyadov, M. Quack, G. Seyfang, G. Wichmann, S. Ospelkaus, A. Kuhn, et al., Journal of Physics B: Atomic, Molecular and Optical Physics 52, 202001 (2019).
  • Huang et al. (2014) W. Huang, A. A. Rangelov,  and E. Kyoseva, Physical Review A 90, 053837 (2014).
  • Rangelov et al. (2011) A. Rangelov, H. Suchowski, Y. Silberberg,  and N. Vitanov, Annals of Physics 326, 626 (2011).
  • Huang et al. (2018a) W. Huang, S.-J. Liang, E. Kyoseva,  and L. K. Ang, Semiconductor Science and Technology 33, 035014 (2018a).
  • Huang et al. (2018b) W. Huang, S.-J. Liang, E. Kyoseva,  and L. K. Ang, Carbon 127, 187 (2018b).
  • Gaubatz et al. (1990) U. Gaubatz, P. Rudecki, S. Schiemann,  and K. Bergmann, The Journal of Chemical Physics 92, 5363 (1990).
  • Vitanov et al. (2017) N. V. Vitanov, A. A. Rangelov, B. W. Shore,  and K. Bergmann, Reviews of Modern Physics 89, 015006 (2017).
  • Glushko and Kryzhanovsky (1992) B. Glushko and B. Kryzhanovsky, Physical Review A 46, 2823 (1992).
  • Fleischhauer and Manka (1996) M. Fleischhauer and A. S. Manka, Physical Review A 54, 794 (1996).
  • Vitanov and Stenholm (1997) N. Vitanov and S. Stenholm, Physical Review A 56, 741 (1997).
  • Vitanov and Stenholm (1999) N. V. Vitanov and S. Stenholm, Physical Review A 60, 3820 (1999).
  • Carroll and Hioe (1992) C. Carroll and F. T. Hioe, Physical review letters 68, 3523 (1992).
  • Carroll and Hioe (1993) C. Carroll and F. T. Hioe, Physical Review A 47, 571 (1993).
  • Nakajima et al. (1994) T. Nakajima, M. Elk, J. Zhang, P. Lambropoulos, et al., Physical Review A 50, R913 (1994).
  • Huang et al. (2019a) W. Huang, S. Yin, B. Zhu, W. Zhang,  and C. Guo, Physical Review A 100, 063430 (2019a).
  • Huang et al. (2019b) W. Huang, S. Yin, B. Zhu, W. Zhang,  and C. Guo, Physical Review A 100, 063430 (2019b).
  • Ivanov et al. (2004) P. Ivanov, N. Vitanov,  and K. Bergmann, Physical Review A 70, 063409 (2004).
  • Lindblad (1976) G. Lindblad, Communications in Mathematical Physics 48, 119 (1976).
  • Gorini et al. (1976) V. Gorini, A. Kossakowski,  and E. C. G. Sudarshan, Journal of Mathematical Physics 17, 821 (1976).
  • Vitanov (1998) N. V. Vitanov, Physical Review A 58, 2295 (1998).
  • Vitanov et al. (1998) N. Vitanov, B. W. Shore,  and K. Bergmann, The European Physical Journal D-Atomic, Molecular, Optical and Plasma Physics 4, 15 (1998).