Skip to main content

ORIGINAL RESEARCH article

Front. Phys., 18 July 2022
Sec. Quantum Engineering and Technology
This article is part of the Research Topic Quantum Coherence, Correlation and Control in Finite Quantum Systems View all 10 articles

Ultraprecise Off-Axis Atom Localization With Hybrid Fields

  • 1Public Experiment Center, University of Shanghai for Science and Technology, Shanghai, China
  • 2School of Physics, Henan Normal University, Xinxiang, China
  • 3State Key Laboratory of Precision Spectroscopy, Department of Physics, Quantum Institute for Light and Atoms, School of Physics and Electronic Science, East China Normal University, Shanghai, China

Atom localization enables a high-precision imaging of the atomic position, which has provided vast applications in fundamental and applied science. In the present work, we propose a scheme for realizing two-dimensional off-axis atom localization in a three-level Λ system. Benefiting from the use of a hybrid coupling field, which consists of one Gaussian beam and one Laguerre–Gaussian beam, our scheme shows that the atoms can be localized at arbitrary position with high spatial resolution. Considering realistic experimental parameters, our numerical simulation predicts that the atoms can be precisely localized with a spatial resolution of 200 nm in the range of a radial distance of a few micrometers to the beam core. Our results provide a more flexible way to localize atoms in a two-dimensional system, possibly paving one-step closer to the nanometer scale atom lithography and ultraprecise microscopy.

1 Introduction

Nowadays, the Laguerre–Gaussian (LG) beam [1] has engendered tremendous advanced applications [27]. For example, it is widely used in the superresolution fluorescence microscopy such as the stimulated emission depletion [8, 9] and minimal photon fluxes [10, 11] in order to overcome the diffraction limit. Another approach to this target is utilizing the spatially dependent coherent light–matter interaction in atom-light coupling systems [1214], which essentially depends on a spatially modulated atom-light coupling. By the detection of spontaneously emitted photons [1518], level population [1925], absorption [2628], and gain [29, 30], subwavelength-scale atom localization can be obtained.

As far as we know, atom localization with LG beams can exhibit a large number of advantages [31, 32]. For example, the LG beam has a donut intensity spot naturally, which may avoid the need of two orthogonal standing wave (SW) fields for generating spatially modulated atom-light coupling in a two-dimensional (2D) atom localization system. That fact largely reduces the complexity of experimental implementation. Moreover, it is easier to create a single excitation spot in its core by a LG beam. In traditional SW-based localization schemes, due to the periodicity of the SW field intensity there may exist more than one localization spots within single optical wavelength. Therefore after one-time measurement, the probability of finding atoms at a certain position can be deeply reduced. So far, some approaches have been proposed to break this periodicity of SW fields, via utilizing the sensitivity of light–matter interactions to the light phase in a closed-loop atomic system [33, 34] and the interference of multiple SW fields with different wavelengths and phases [35, 36]. These methods, however, will increase the complexity of experimental setup. Although the LG beam has the aforementioned advantages in localization, it can only localize atoms in the vicinity of its beam core where the laser intensity is close to zero. Off-axis atom localization must be accompanied by the movement of the LG beam itself, which undoubtedly adds to extra complexity.

In traditional SW localization schemes, the superposition of multiple SW lasers with different wavelengths and phases is commonly adopted for reaching a single excitation point [35, 36]. In addition this effect between two LG beams can show interesting patterns such as optical Ferris wheels where the light intensity can be modulated to be zero in certain positions [37]. Inspired by these contributions, in the present work, we study a 2D off-axis atom localization in a three-level Λ system, in which a Gaussian beam serves as the probe field and a LG beam together with a Gaussian beam as the hybrid coupling field. The quantum interference effect between these two beams (LG and Gaussian) can achieve a unique zero-intensity spot at arbitrary position. We show that by appropriately tuning the ratio of peak amplitudes between the LG and any Gaussian beams, atoms can be localized at arbitrary position, with a certain distance to the beam core. Both the spatial resolution and radial distance of localization can be flexibly manipulated via tuning laser Rabi frequencies. Depending on the numerical simulation with experimental parameters our scheme enables the realization of an efficient off-axis 2D atom localization, accompanied by a best spatial resolution 200 nm and a radial distance of a few micrometers. Our scheme provides a more convenient route to the target of ultraprecise off-axis 2D atom localization.

2 Theoretical Strategy

To describe the scheme mechanism we consider a simple three-level Λ system as displayed in Figure 1, where states 1 and 3 are resonantly coupled by a weak probe field Ωp and states 3 and 2 are connected by another coupling field Ωc2, with zero detuning. In order to realize an off-axis atom excitation, we have assumed that the probe and coupling beams as Gaussian beams, which are

Ωir=Ωi0er2Wi2,(1)

where i = p, c2 and Ωi0 represent the peak amplitude and Wi the Gaussian spot size. Remarkably, states 3 and 2 are also coupled by a second LG field Ωc1 at the same time, as [38].

Ωc1r,θ=Ωc10rWc1|l|er2Wc12eilθ+θc1,(2)

where Ωc10, Wc1, θc1, and l are the peak amplitude, the beam waist, the initial phase, and the winding number, respectively. r and θ are the cylindrical radius and the azimuthal angle, respectively. Here, we take the winding number l = 1, which enables a single-spot excitation. Other higher-order modes with l > 1 would lower the localization precision by redistributing the atomic population among multiple azimuthal nodes. To our knowledge, this three-level model can be experimentally realized by the D1 line of ultracold 87Rb atoms with energy levels |1=5S1/2,F=1, |2=5S1/2,F=2, and |3=5P1/2,F=2. Based on Ref. [14], we assume the decay rates from |3⟩ → |1⟩ and |3⟩ → |2⟩ are equal, typically calculated by Γ31 = Γ32 = 2π × 5.75 MHz. The decay rate between two hyperfine ground states |1⟩ and |2⟩ is Γ21 = 5 kHz, satisfying Γ21 ≪Γ31, Γ32 [39] so the lifetime of 2 is about 200μs. The beam width is Wi = Wc1 = W estimated to be same for simplicity. Under the frozen-gas limit where the atomic center of mass is unvaried we can take a measurement for the population on state |2⟩ by collecting its fluorescence signals with a CCD camera and a well-localized position distribution of atoms could facilitate this measurement [14].

FIGURE 1
www.frontiersin.org

FIGURE 1. Schematic of a Λ-type three-level system where the probe field Ωp for the transition of states |1⟩ and |3⟩ is a Gaussian beam. The coupling field between |3⟩ and |2⟩ is composed by one LG beam Ωc1 and one Gaussian beam Ωc2. Γnm denotes the spontaneous decay rates from |n⟩ to |m⟩.

Considering a frozen atomic gas the time evolution of the systematic density-matrix elements can be described by ( = 1) [40].

ρ̇11=Γ31ρ33+Γ21ρ22iΩpρ31ρ13,ρ̇33=Γ31+Γ32ρ33iΩpρ13ρ31iΩcρ23ρ32,ρ̇12=γ12ρ12iΩpρ32+iΩcρ13,ρ̇13=γ13ρ13iΩpρ33ρ11+iΩcρ12,ρ̇23=γ23ρ23+iΩpρ21iΩcρ33ρ22,(3)

where ρnm=ρmn* and n=13ρnn=1 mean the conservation. The population on state |2⟩ is solved by ρ22 = 1 − ρ11ρ33. In deriving Eq. 3 we have defined

Ωc=Ωc1+Ωc2,(4)

representing the superposition of two coupling fields. Γnm denotes the spontaneous decay from n to m and γnm is defined as

γ12=Γ21/2,γ13=Γ31+Γ32/2,γ23=Γ32+Γ31+Γ21/2.(5)

The steady solutions of Eq. 3 can be obtained by assuming ρ̇nm=ρ̇nn=0. Due to the presence of decay Γ21, it is intuitive that ρ22 decreases with Γ21. Luckily, accounting for the condition of Γ21 ≪ Γ31(32) that makes the effect of Γ21 negligible [23, 39], then ρ22 takes a simple form of

ρ22r,θ=11+Icr,θ/Ipr,(6)

where Γ31 = Γ32, Γ21 = 0 are used. Ic=Ωc1+Ωc22 and Ip=Ωp2 stand for the laser intensities. Note that ρ22 (r, θ) reveals a position-dependent feature due to the use of several structured fields. From Eq. 6, it is apparent that the condition Ic(rloc, θ) ≪ Ip(rloc) will cause ρ22 → 1, which means a perfect atomic confinement can be achieved at arbitrary position rloc in our scheme.

3 Off-Axis Localization

According to Eq. 4 together with the definitions in Eqs 1, 2, the intensity of the hybrid coupling field can be written as

Icr,θ=|Ωc1+Ωc2|2=Ωc10W2e2r2W2r+κcWeiθ+θc12,(7)

where the peak ratio is κc = Ωc20c10, which can be tuned by Ωc20 if Ωc10 is fixed. Note that this hybrid coupling field is composed by one LG beam and one Gaussian beam, which resonantly couple states |2⟩ and |3⟩ at the same time. Finally we can arrive at an analytical solution to the equation Ic(r, θ) = 0, that is, the perfect condition of localization can be reached at

rloc,θloc=κcW,πθc1,(8)

where the population ρ22 attains 1.0 in principle. That means atoms can be precisely placed at any desired position (rloc, θloc) with a very high probability. While in fact, owing to the influence from intrinsic noises in the experimental setup, the observed localization resolution is quite limited. In Section 5 we will discuss the fluctuation of laser intensities, the steady time as well as the noise from atomic thermal motion, in order to present a practical estimation for the experimental observation. Moreover, we have to point out that benefiting from the interference between two hybrid coupling fields Ωc1 and Ωc2 [41], the localization position (rloc, θloc) can be widely adjusted by the beam parameters, which is not restricted merely at the beam core as in most previous works [31, 32].

As illustrated in Figure 2A, we show that atoms denoted as the steady population ρ22 on state |2⟩, can be confined in any spatial position (rloc, θloc) by changing the parameters (κc, θc1). For example when (κc, θc1) = (0.1, π), (0.5, π), (0.5, π/4), (0.5, − π/4), Figure 2A explicitly shows the off-axis atom localization at different positions as labeled by A ∼D. Figures 2B1–B4 amplify the distribution of atoms at different localized places. It is apparent that the spatial resolution of atom localization remains unchanged for different κc and θc1. Therefore, thanks to the zero-intensity point (Ic(r, θ) = 0) created by the interference between two light beams Ωc10 and Ωc20, our scheme can realize an effective off-axis localization at arbitrary position in a 2D space.

FIGURE 2
www.frontiersin.org

FIGURE 2. Off-axis atom localization. (A) Off-axis localized positions A, B, C, and D with respect to (κc, θc1) = (0.1, π), (0.5, π), (0.5, π/4), (0.5, − π/4). The white cross denotes the center of light beams. (B1–B4) show the amplified images for the localized atomic positions, which have an off-axis feature. Here, Ωp0c10 = 0.01.

4 Ultraprecise Localization

The quality of localization also depends on a high spatial resolution, which is characterized by the full width at half maximum (FWHM) of the steady distribution ρ22 (r, θ). A narrower linewidth indicates that the position of atoms can be well-resolved within a smaller range. By replacing the profiles of light fields (Eqs 1, 2) the expression of ρ22(r) takes an explicitly Lorentz form

ρ22r=11+rκcW2κp2W2,(9)

where we have omitted the azimuth angle by letting θ = πθc1 and paid attention to the variation of ρ22(r) along the radial direction. We treat the FWHM of function ρ22(r) as a measurement to localization, which can also be analytically solved,

ar=2κpW.(10)

In Figure 3, we plot the steady distribution ρ22(r) vs. r for different peak ratios κp. Clearly a weaker probe field leads to the atomic population more confined in the vicinity of the localization point r = rloc = 0.5W, promising for a higher resolution localization. For example, we find that ar = 0.02W when κp = 0.01, but this value is decreased by one order of magnitude, which is ar = 0.004W as κp reduces to 0.002. From Eq. 10, it is intuitive that ar → 0 if κp ≪ 1, enabling an ultraprecise localization under a sufficiently weak probe field. However in a realistic system, the fact that the time for a steady state becomes much longer in the weak probe limit, results in the atomic motion non-negligible. We will discuss this point in Section 5.2.

FIGURE 3
www.frontiersin.org

FIGURE 3. Steady population distribution ρ22(r) along the radial direction r for κp = Ωp0c10 = 0.01 (blue-dotted), 0.005 (green-dashed), and 0.002 (red-solid). ar is the FWHM, which characterizes the spatial resolution of localization. Here, we use κc = 0.5.

5 Feasibility Discussion

The numbers presented in this work are considered from 87Rb where the lifetime of state |3⟩( = |5P1/2, F = 2⟩) is 27.7 ns [42], leading to the decay rates Γ31 = Γ32 = 2π × 5.75 MHz, and the lifetime of |2⟩( = |5S1/2, F = 2⟩) is 200 μs, leading to Γ21 = 5 kHz. We assume that the co-propagating probe and coupling lasers are overlapping in space and have a same beam width W = 5 μm. As explicitly presented in section 3 and section 4, our scheme can achieve an ultraprecise off-axis atom localization due to the flexible manipulation of peak ratios κc and κp, together with the azimuth angle θc1. Due to the rotational invariance we ignore θc1 by focusing on the radial distance r. However, as for an experimental implementation these parameters are also restrained. In this section, we numerically solve the spatial resolution ar and the peak value of ρ22(r) by evolving the motional Eq. 3 under more realistic conditions coming from measurement.

5.1 Laser Intensity Noise

To obtain realistic results evaluating experimental conditions, we introduce a perturbed laser intensity by adding a random intensity noise δΩi (i = p, c1, c2) to the peak value Ωi0 [43, 44]. The resulting fluctuated Rabi frequencies Ωi0 can be written as

Ωi0=Ωi0+δΩi.(11)

In the calculation, we assume δΩii0 ∈ [− ξ, ξ] and pay attention to the radial population distribution ρ22(r). During each measurement, the perturbation term δΩi can be a random number obtained from the range of [− ξ, ξi0. By taking account of sufficient measurements, the average result can show the realistic observation in the experimental setup. Note that a larger Rabi frequency leads to stronger laser noise since δΩi ∝Ωi0.

Figure 4 illustrates the distribution of steady population ρ22(r) under the influence of laser intensity noise, which is characterized by the factor ξ. By comparing Figures 4A–D it is apparent that a bigger ξ will give rise to a broadened population distribution with smaller peak values, which lowers the precision of localization. Furthermore, as for atoms localized closer to the beam core (r = 0) the intensity noise δΩc2 [∝Ωc20] is smaller due to rloc = κcW. Therefore by positioning atoms far from the beam core the observation will suffer from a stronger laser intensity noise, in turn yielding a lower-quality localization, see Figures 4A–D. This fact gives a limitation to our protocol that the atoms cannot be placed very far from the beam core. A rough estimation (not shown) shows that the average peak value of ρ22(r) will be smaller than 0.2 if the radial localization distance rloc is larger than 10 μm. In the experiment, a better control for the laser intensity noise can improve the scheme performance.

FIGURE 4
www.frontiersin.org

FIGURE 4. Radial population distribution ρ22(r) under different intensity noises, which are given by (A,B) ξ = 1.0% and (C,D) ξ = 5.0% at different positions. We take 500 measurements for each point denoted by the error bar and the average result is shown by the green solid line. For comparison the black-dotted line indicates the result without any intensity noise, that is, ξ = 0. Here, Ωc20/2π = (30, 90) MHz, respectively for (A,C) and (B,D), corresponding to the localization positions rloc = (1.0, 3.0) μm. Other parameters are Ωp0/2π = 3 MHz, Ωc10/2π = 150 MHz, and W = 5 μm.

5.2 Time Needed for a Steady State

From section 4, we have known that ultraprecise localization with ar → 0 in principle relies on a sufficiently small κp, that is, Ωp0 ≪Ωc10. This condition leads to the time Ts for reaching steady localization much longer. Because Ts is inversely proportional to the exact laser Rabi frequencies. For a longer Ts, the atomic thermal motion does play roles and the frozen-gas approximation fails. A discussion for the effect of atomic thermal motion can be seen in section 5.3. An efficient localization reports that Ts is so short to make the atomic movement during the steady time negligible. In the calculation, we consider atoms under the temperature T = 1 μK [14], with a most probable velocity vp=2kBT/M1.4 cm/s, where kB is the Boltzmann constant and M is the atomic mass. We introduce a new constraint to the resolution factor ar

vpTsmaxar/10,(12)

where the real time Ts for a steady state should be smaller than Tsmax so as to make the atomic motion negligible during the measurement.

Figure 5 exhibits the steady time Ts as a function of the localization distance rloc for different peak probe Rabi frequencies Ωp0. Here, Ts is obtained by numerically evolving the master Eq. 3, considering all spontaneous decays. From Figures 5A–D, as decreasing Ωp0 we find that the steady time Ts (blue-solid) increases significantly; although the position of atoms can be well-resolved with a better spatial resolution (ar becomes smaller) at the same time. According to the constraint (12), the maximal steady time Tsmax permitted for localization is labeled by the red-dashed line in the figure. When Ts<Tsmax atoms can obtain a robust localization. Obviously, in Figures 5A,B where the spatial resolution ar is relatively large, atoms can be well localized within a wider radial range rloc < 5.3 μm and rloc < 3.7 μm. Insets explicitly show the area of off-axis localization, which is denoted as a gray disk. In fact via an appropriate adjustment of κc and θc1, atoms can be confined at arbitrary position inside the gray disk.

FIGURE 5
www.frontiersin.org

FIGURE 5. Steady time Ts vs. the radius distance rloc under (A) Ωp0/2π = 4.5 MHz and ar = 300 nm, (B) Ωp0/2π = 3.0 MHz and ar = 200 nm, (C) Ωp0/2π = 2.1 MHz and ar = 141 nm, and (D) Ωp0/2π = 1.5 MHz and ar = 100 nm. The red-dashed line denotes the maximal Ts permitted for an efficient localization. The shaded-green region stands for the radial range where atoms can be localized. Insets: effective off-axis localization is enabled within the gray disk. Here, Ωc10/2π = 150 MHz, W = 5 μm, Ωc20 = rlocΩc10/W, T = 1 μK, and Γ21 = 5 kHz.

Whereas, when Ωp0 is reduced to 2π × 2.1 MHz (Figure 5C), the reduction of ar causes TsmaxTs persistently. In this case only atom positioned at the beam core can be accurately confined so the protocol of off-axis localization fails. Furthermore, if ar < 141 nm, for example, ar = 100 nm as in Figure 5D, the steady time Ts is maintained larger than the required Tsmax, calculated by Eq. 12 so no atoms could be localized. Because during such a longer steady time Ts most atoms have been moved away from the localization spot caused by their thermal motions, leading to a poor resolution (also see the discussion in section 5.3). Therefore, based on our analysis, we treat ar = 141 nm as the best spatial resolution yet atoms can only be localized at the beam core. Effective off-axis localization needs to be at the expense of the spatial resolution. For example, a resolution of ar = 200 nm (300 nm) can be obtained within a localized radius of rloc < 3.7 μm (5.3 μm), see the insets of Figures 5A,B for a more visible representation. In addition, since the steady time is inversely proportional to the exact Rabi frequencies the limitation for a best off-axis localization can further be overcome by a stronger coupling laser. For example, when Ωc10/2π = 300 MHz and Ωp0/2π = 2.7 MHz the best spatial resolution of our protocol can be reduced to 91 nm if atoms are localized in the beam core (not shown).

5.3 Noise From Atomic Thermal Motion

In a real experimental setup due to atomic thermal motion, the laser intensity ‘seen’ by atoms would have a strong perturbation, which intuitively brings a noise on detecting the steady atomic population. Here, we consider atoms move randomly in space whose velocities satisfy a two-dimensional Maxwell–Boltzmann distribution [45].

fvx,vy=1πvp2evx2+vy2/vp2.(13)

Here, vp is the most probable velocity defined by vp=2kBT/M. Other interatomic collisions are ignored. During the jth measurement we assume a simple uniform motion of atoms by letting

xj,yjxj+vxTmeas,yj+vyTmeas,(14)

where (vx, vy) are obtained stochastically from the velocity function f (vx, vy) and Tmeas is the time for single measurement. By inserting Eq. 14 into Eqs 1, 2 atoms can feel a fluctuated Rabi frequency Ωi(t) (i = p, c1, c2) for each measurement. The final results are based on an average of 500 times random samplings of the velocity (vx, vy).

In Figure 6, we show the calculated population distribution ρ22(r) under sufficient measurements in the xy frame. Clearly, from Figures 6A1–A4 due to a larger probable velocity of atoms caused by the growing temperature, the peak value ρ22peak has an explicit decrease together with a lower spatial resolution ar. For example, when T = 1 μK, ar = 206 nm which is close to the value at T = 0. Because the average distance of atoms during each measurement (Tmeas = 1 μs) is only vpTmeas ≈ 14 nm, which is much smaller than ar. However, as for a higher temperature the movement of atoms during each measurement can cause a bigger effect making the precision of atom localization worse. See the case of T = 10 μK in Figure 6A4, we observe that ρ22peak=0.8 and ar = 247 nm. For comparison in Figures 6B1–B4 we also study the case of a longer measurement time (Tmeas = 5 μs) where atoms can move farther, leading to a very poor spatial resolution at a finite temperature. We numerically show that at T = 10 μK the distribution of atomic population ρ22(r) has become slightly deformed with its peak value (spatial resolution) as low as ρ22peak=0.22(ar = 687 nm). That fact means such a long-time measurement has made most atoms away from the localization spot via their thermal movements. Therefore a faster measurement accompanied by a lower environment temperature can facilitate high-quality atom localization.

FIGURE 6
www.frontiersin.org

FIGURE 6. (A1–A4) 2D population distribution of ρ22(r) under different temperatures T = (0, 1, 5, 10)μK. The peak value of ρ22(r) is given in the picture and the diameter of white-dashed rings stands for the spatial resolution ar, which is ar = (200, 206, 222, 247) nm, respectively. Here, we assume the measurement time is Tmeas = 1 μs. Analogous to (A1–A4), (B1–B4) show the case of Tmeas = 5 μs and the calculated resolution is ar = (200, 308, 530, 687) nm. Every point is obtained by averaging over 500 measurements.

6 Conclusion

To conclude, our scheme presents a novel 2D atom localization, having both ultraprecise and off-axis features. Differing from the previous works using a single LG field we adopt a LG beam together with a Gaussian beam as the hybrid coupling field. The previous contributions can only localize atom in the beam core where the intensity of coupling field is zero. While our protocol shows that atoms can be localized at arbitrary position due to the effect of quantum interference between these two coupling beams that leads to a zero-intensity spot in space. Our numerical simulation confirms that with an appropriate adjustment for the peak ratios of laser Rabi frequencies a wider off-axis localization range and higher quality spatial resolution can be achieved at the same time. Under experimentally feasible parameters an estimation for the implementation of realistic off-axis atom localization is predicted, promising for a resolution of 200 nm and a localized radius of a few μm. In addition, we also discuss the weakness of our scheme when some intrinsic quantum noises from imperfect measurement, including laser intensity noise, limited steady time, and atomic thermal motion, are considered. Our approach may provide unique application to atomic lithography with more flexibility and better resolution [46]. An extension to the 3D off-axis atom localization is possible by implementing a spatial modulation to the probe detuning which is our next-step work [32].

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.

Author Contributions

The idea was first conceived by NJ. NJ was responsible for the physical modeling, the numerical calculations, and writing the original draft under the supervision of JQ. JQ contributed to review and editing. JQ verified results of the theoretical calculation. X-DZ contributed to editing the draft. X-DZ and W-RQ contributed to the discussion of the results.

Funding

This work was supported by the National Natural Science Foundation of China under Grant Nos 12104308, 12174106, 11474094, 11104076, 12104135, and 11604086; by the Science and Technology Commission of Shanghai Municipality under Grant No. 18ZR1412800.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Babiker M, Andrews DL, Lembessis VE. Atoms in Complex Twisted Light. J Opt (2018) 21:013001. doi:10.1088/2040-8986/aaed14

CrossRef Full Text | Google Scholar

2. Grier DG. A Revolution in Optical Manipulation. Nature (2003) 424:810–6. doi:10.1038/nature01935

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Padgett M, Bowman R. Tweezers with a Twist. Nat Photon (2011) 5:343–8. doi:10.1038/nphoton.2011.81

CrossRef Full Text | Google Scholar

4. Ran L-L, Guo Z-Y, Qu S-L. Rotational Motions of Optically Trapped Microscopic Particles by a Vortex Femtosecond Laser. Chin Phys. B (2012) 21:104206. doi:10.1088/1674-1056/21/10/104206

CrossRef Full Text | Google Scholar

5. Dholakia K, Simpson NB, Padgett MJ, Allen L. Second-Harmonic Generation and the Orbital Angular Momentum of Light. Phys Rev A (1996) 54:R3742–R3745. doi:10.1103/PhysRevA.54.R3742

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Kong F, Zhang C, Bouchard F, Li Z, Brown GG, Ko DH, et al. Controlling the Orbital Angular Momentum of High Harmonic Vortices. Nat Commun (2017) 8:14970. doi:10.1038/ncomms14970

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gauthier D, Ribič PR, Adhikary G, Camper A, Chappuis C, Cucini R, et al. Tunable Orbital Angular Momentum in High-Harmonic Generation. Nat Commun (2017) 8:14971. doi:10.1038/ncomms14971

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Vicidomini G, Bianchini P, Diaspro A. Sted Super-Resolved Microscopy. Nat Methods (2018) 15:173–82. doi:10.1038/nmeth.4593

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Schermelleh L, Ferrand A, Huser T, Eggeling C, Sauer M, Biehlmaier O, et al. Super-Resolution Microscopy Demystified. Nat Cell Biol (2019) 21:72–84. doi:10.1038/s41556-018-0251-8

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Masullo LA, Steiner F, Zähringer J, Lopez LF, Bohlen J, Richter L, et al. Pulsed Interleaved Minflux. Nano Lett (2021) 21:840–6. doi:10.1021/acs.nanolett.0c04600

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Balzarotti F, Eilers Y, Gwosch KC, Gynnå AH, Westphal V, Stefani FD, et al. Nanometer Resolution Imaging and Tracking of Fluorescent Molecules with Minimal Photon Fluxes. Science (2017) 355:606–12. doi:10.1126/science.aak9913

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Proite NA, Simmons ZJ, Yavuz DD. Observation of Atomic Localization Using Electromagnetically Induced Transparency. Phys Rev A (2011) 83:041803. doi:10.1103/PhysRevA.83.041803

CrossRef Full Text | Google Scholar

13. Miles JA, Simmons ZJ, Yavuz DD. Subwavelength Localization of Atomic Excitation Using Electromagnetically Induced Transparency. Phys Rev X (2013) 3:031014. doi:10.1103/PhysRevX.3.031014

CrossRef Full Text | Google Scholar

14. Miles JA, Das D, Simmons ZJ, Yavuz DD. Localization of Atomic Excitation Beyond the Diffraction Limit Using Electromagnetically Induced Transparency. Phys Rev A (2015) 92:033838. doi:10.1103/PhysRevA.92.033838

CrossRef Full Text | Google Scholar

15. Qamar S, Zhu S-Y, Zubairy MS. Precision Localization of Single Atom Using Autler-Townes Microscopy. Opt Commun (2000) 176:409–16. doi:10.1016/S0030-4018(00)00535-6

CrossRef Full Text | Google Scholar

16. Ghafoor F, Qamar S, Zubairy MS. Atom Localization via Phase and Amplitude Control of the Driving Field. Phys Rev A (2002) 65:043819. doi:10.1103/PhysRevA.65.043819

CrossRef Full Text | Google Scholar

17. Ghafoor F. Subwavelength Atom Localization via Quantum Coherence in a Three-Level Atomic System. Phys Rev A (2011) 84:063849. doi:10.1103/PhysRevA.84.063849

CrossRef Full Text | Google Scholar

18. Wan R-G, Zhang T-Y. Two-Dimensional Sub-Half-Wavelength Atom Localization via Controlled Spontaneous Emission. Opt Express (2011) 19:25823–32. doi:10.1364/OE.19.025823

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Yavuz DD, Proite NA. Nanoscale Resolution Fluorescence Microscopy Using Electromagnetically Induced Transparency. Phys Rev A (2007) 76:041802. doi:10.1103/PhysRevA.76.041802

CrossRef Full Text | Google Scholar

20. Paspalakis E, Knight PL. Localizing an Atom via Quantum Interference. Phys Rev A (2001) 63:065802. doi:10.1103/physreva.63.065802

CrossRef Full Text | Google Scholar

21. Kapale KT, Agarwal GS. Subwavelength Atom Localization via Coherent Population Trapping. In: Frontiers in Optics (Optica Publishing Group) (2006). p. FThO5. doi:10.1364/FIO.2006.FThO5

CrossRef Full Text | Google Scholar

22. Ivanov V, Rozhdestvensky Y. Two-Dimensional Atom Localization in a Four-Level Tripod System in Laser Fields. Phys Rev A (2010) 81:033809. doi:10.1103/PhysRevA.81.033809

CrossRef Full Text | Google Scholar

23. Ivanov VS, Rozhdestvensky YV, Suominen K-A. Three-Dimensional Atom Localization by Laser Fields in a Four-Level Tripod System. Phys Rev A (2014) 90:063802. doi:10.1103/PhysRevA.90.063802

CrossRef Full Text | Google Scholar

24. Wang Z, Yu B. High-Precision Two-Dimensional Atom Localization via Quantum Interference in a Tripod-Type System. Laser Phys Lett (2014) 11:035201. doi:10.1088/1612-2011/11/3/035201

CrossRef Full Text | Google Scholar

25. Zhu Z, Yang W-X, Chen A-X, Liu S, Lee R-K. Dressed-State Analysis of Efficient Three-Dimensional Atom Localization in a Ladder-Type Three-Level Atomic System. Laser Phys (2016) 26:075203. doi:10.1088/1054-660x/26/7/075203

CrossRef Full Text | Google Scholar

26. Sahrai M, Tajalli H, Kapale KT, Zubairy MS. Subwavelength Atom Localization via Amplitude and Phase Control of the Absorption Spectrum. Phys Rev A (2005) 72:013820. doi:10.1103/PhysRevA.72.013820

CrossRef Full Text | Google Scholar

27. Sahrai M, Mahmoudi M, Kheradmand R. Atom Localization of a Two-Level Pump-Probe System via the Absorption Spectrum. Laser Phys (2007) 17:40–4. doi:10.1134/S1054660X07010082

CrossRef Full Text | Google Scholar

28. Zhang D, Yu R, Sun Z, Ding C, Zubairy MS. Efficient Three-Dimensional Atom Localization Using Probe Absorption in a Diamond-Configuration Atomic System. J Phys B: Mol Opt Phys (2019) 52:035502. doi:10.1088/1361-6455/aaf5ec

CrossRef Full Text | Google Scholar

29. Qamar S, Mehmood A, Qamar S. Subwavelength Atom Localization via Coherent Manipulation of the Raman Gain Process. Phys Rev A (2009) 79:033848. doi:10.1103/PhysRevA.79.033848

CrossRef Full Text | Google Scholar

30. Wan R-G, Zhang T-Y, Kou J. Two-Dimensional Sub-Half-Wavelength Atom Localization via Phase Control of Absorption and Gain. Phys Rev A (2013) 87:043816. doi:10.1103/PhysRevA.87.043816

CrossRef Full Text | Google Scholar

31. Kazemi SH, Veisi M, Mahmoudi M. Atom Localization Using Laguerre-Gaussian Beams. J Opt (2019) 21:025401. doi:10.1088/2040-8986/aafe61

CrossRef Full Text | Google Scholar

32. Jia N, Qian J, Kirova T, Juzeliūnas G, Reza Hamedi H. Ultraprecise Rydberg Atomic Localization Using Optical Vortices. Opt Express (2020) 28:36936–52. doi:10.1364/OE.411130

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Ding C, Li J, Yang X, Zhang D, Xiong H. Proposal for Efficient Two-Dimensional Atom Localization Using Probe Absorption in a Microwave-Driven Four-Level Atomic System. Phys Rev A (2011) 84:043840. doi:10.1103/PhysRevA.84.043840

CrossRef Full Text | Google Scholar

34. Hamedi HR, Juzeliūnas G. Phase-Sensitive Atom Localization for Closed-Loop Quantum Systems. Phys Rev A (2016) 94:013842. doi:10.1103/PhysRevA.94.013842

CrossRef Full Text | Google Scholar

35. Rahmatullah U, Qamar S. Two-Dimensional Atom Localization via Probe-Absorption Spectrum. Phys Rev A (2013) 88:013846. doi:10.1103/PhysRevA.88.013846

CrossRef Full Text | Google Scholar

36. Hong Y, Wang Z, Yu B. High-Precision Three-Dimensional Atom Localization via Kerr Nonlinearity. J Opt Soc Am B (2019) 36:746–51. doi:10.1364/JOSAB.36.000746

CrossRef Full Text | Google Scholar

37. Franke-Arnold S, Leach J, Padgett MJ, Lembessis VE, Ellinas D, Wright AJ, et al. Optical Ferris Wheel for Ultracold Atoms. Opt Express (2007) 15:8619–25. doi:10.1364/OE.15.008619

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Hamedi HR, Paspalakis E, Žlabys G, Juzeliūnas G, Ruseckas J. Complete Energy Conversion Between Light Beams Carrying Orbital Angular Momentum Using Coherent Population Trapping for a Coherently Driven Double- Λ Atom-Light-Coupling Scheme. Phys Rev A (2019) 100:023811. doi:10.1103/PhysRevA.100.023811

CrossRef Full Text | Google Scholar

39. Wang Z, Yu B. Efficient Three-Dimensional Atom Localization via Probe Absorption. J Opt Soc Am B (2015) 32:1281–6. doi:10.1364/JOSAB.32.001281

CrossRef Full Text | Google Scholar

40. Paspalakis E, Terzis AF, Knight PL. Quantum Interference Induced Sub-Wavelength Atomic Localization. J Mod Opt (2005) 52:1685–94. doi:10.1080/09500340500072489

CrossRef Full Text | Google Scholar

41. Qiu J, Wang Z, Yu B. Generation of New Structured Beams via Spatially Dependent Transparency. Quan Inf Process (2019) 18:160. doi:10.1007/s11128-019-2278-6

CrossRef Full Text | Google Scholar

42. Volz U, Schmoranzer H. Precision Lifetime Measurements on Alkali Atoms and on Helium by Beam-Gas-Laser Spectroscopy. Phys Scr (1996) T65:48–56. doi:10.1088/0031-8949/1996/t65/007

CrossRef Full Text | Google Scholar

43. Dridi G, Guérin S, Hakobyan V, Jauslin HR, Eleuch H. Ultrafast Stimulated Raman Parallel Adiabatic Passage by Shaped Pulses. Phys Rev A (2009) 80:043408. doi:10.1103/PhysRevA.80.043408

CrossRef Full Text | Google Scholar

44. Kang Y-H, Chen Y-H, Shi Z-C, Huang B-H, Song J, Xia Y. Nonadiabatic Holonomic Quantum Computation Using Rydberg Blockade. Phys Rev A (2018) 97:042336. doi:10.1103/PhysRevA.97.042336

CrossRef Full Text | Google Scholar

45. Huo X, Chen JF, Qian J, Zhang W. Interaction-Enhanced Transmission Imaging with Rydberg Atoms. Phys Rev A (2022) 105:012817. doi:10.1103/PhysRevA.105.012817

CrossRef Full Text | Google Scholar

46. Johnson KS, Thywissen JH, Dekker NH, Berggren KK, Chu AP, Younkin R, et al. Localization of Metastable Atom Beams with Optical Standing Waves: Nanolithography at the Heisenberg Limit. Science (1998) 280:1583–6. doi:10.1126/science.280.5369.1583

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: off-axis localization, Laguerre–Gaussian beam, ultraprecise, quantum interference, three-level atom

Citation: Jia N, Zhao X-D, Qi W-R and Qian J (2022) Ultraprecise Off-Axis Atom Localization With Hybrid Fields. Front. Phys. 10:933285. doi: 10.3389/fphy.2022.933285

Received: 30 April 2022; Accepted: 20 June 2022;
Published: 18 July 2022.

Edited by:

Weibin Li, University of Nottingham, United Kingdom

Reviewed by:

Bernhard Johan Hoenders, University of Groningen, Netherlands
Zhaoyang Zhang, Xi’an Jiaotong University, China

Copyright © 2022 Jia, Zhao, Qi and Qian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jing Qian, anFpYW4xOTgyQGdtYWlsLmNvbQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.