Abstract
We present a general scheme for synthesizing a spatially periodic magnetic field, or a magnetic lattice (ML), for ultracold atoms using pulsed gradient magnetic field (GMF). Our scheme is immune to atomic spontaneous emission often encountered in optical lattices, and has the additional benefits of easy tunability for both the lattice period and depth. Technical requirements for the experimental protocol implementing our scheme is estimated and shown to be readily available in today's cold atom laboratories. The effective Hamiltonian for atoms interacting with the synthesized two-dimensional ML has not been studied in quantum condensed matter physics previously. Its band structure shows interesting features reminiscent of lattice models in p-orbit physics. Realization of our proposal will significantly expand the repertoire for quantum simulation with ultracold atoms.
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1. Introduction
Optical lattice (OL) is a highly controllable environment where many body physics can be studied with ultracold atoms [1, 2]. Additionally, atoms in OL promise exciting opportunities in quantum information science [3–5]. Many lattice geometries have been realized experimentally, from three-dimensional (3D) cubic lattices [6] to honeycomb lattices [7] and kagome lattices [8]. With spin-dependent OLs, atomic internal degrees of freedom such as its spin or pseudo-spin (group of internal states), are coupled to its spatial degrees of freedom. This can give rise to interesting phenomena [9–18] absent in spin-independent lattices. For example, attractive Fermi gases in 1D lattices support three-body bound states with only two-body interactions when the tunneling rates are spin-dependent [19]. Theoretical studies predict a exotic state with the coexistence of superfluid and normal components [20] in 3D systems. For bosons, a new phase supported by spin-dependent OLs is already revealed experimentally, where one spin component is Mott-insulating and the other superfluid, with the superfluid to Mott-insulating transition modulated by their mutual interactions [21].
A topical area of intense research interest in ultracold atoms concerns synthetic gauge fields [22]. Many theoretical studies have proposed ideas to synthesize artificial gauge potentials for atoms (with hyperfine spin F) in OL systems [23–27], often starting with simple forms of lattices or spin-dependent lattices and periodically driven systems [28–30]. Some of these ideas are realized in recent experiments [31, 32]. They emulate atomic interactions with synthetic magnetic fields or spin–orbit coupling (SOC). More general spin-dependent lattices and artificial gauge fields, such as interaction forms that flip atomic spins can broaden the scope of quantum simulations and support exotic quantum phases[33–37]. For example, Cocks et al [33] find fermionic systems exhibit quantum phases such as topological and normal insulator, metal, or semi-metal, all with two or more Dirac cones even in the absence of atomic interactions when a staggered potential is added to an artificial Rashba-type SOC. In the presence of strong atomic interactions, semi-metal to antiferromagnetic insulator transition can occur.
Spin-dependent OL can be readily generated by light shifts with spin-dependent modulations [38], as in the familiar lin-θ-lin laser cooling setup [12, 39]. 1D effective Zeeman lattice can be produced by combining a radio-frequency (RF) magnetic field with Raman laser fields [40]. However, due to the same scaling with laser intensity and detuning, the ratio of the effective spontaneous emission rate to the spin-dependent lattice depth is determined by the ratio of atomic natural linewidth to its excite state fine structure splitting. The resulting spin-dependent lattice depth will be small in order to suppress spontaneous emission [41–43]. Furthermore, ideas based on light-atom interaction are limited by laser wavelengths, which set the typical scales of the resulting OL spatial periods, and are difficult to tune for given setups. Larger spacing spin-dependent lattice potentials can be realized with micro-fabricated wires or permanent magnet arrays on an atom chip [44–47]. Recently, sub-micron lattice spacing structures consisting of permanent magnet arrays are fabricated on an atom chip [48]. Magnetic lattice (ML) with spatial period as small as tens of nanometers is proposed using superconducting vortex arrays on an atom chip with reduced Johnson noise [49].
This work presents a new scheme for synthesizing a spatially periodic magnetic field or a ML using pulsed gradient magnetic field (GMF). It can be understood in terms of spatial dependent spin rotations, which couple atomic internal degrees of freedom to its spatial/orbital degrees of freedom. While sharing some features with an earlier proposal for synthesizing SOC with pulsed GMFs [50] as well as an analogous one using zero average modulated GMFs [51], the idea we present here is distinct. As we show in this work it allows for the generation of a new class of synthesized MLs not previously explored. The earlier SOC proposal [50, 51] is recently demonstrated experimentally [52], which makes the idea we present here an attractive follow up experiment. Our ML idea is implemented by introducing a bias magnetic field to the free evolution part of the earlier SOC protocol [50]. The lattice constant is found to be easily tunable and can be made smaller, even much smaller than the laser wavelength of an OL. Furthermore, the scheme we present can be generalized in a straightforward manner to more than one spatial dimension.
This paper is organized as follows. In section 2, our idea for synthesizing a ML with a bias magnetic field included during the free evolution period of the SOC protocol [50] is introduced. The dynamics governed by the synthesized Hamiltonian are analyzed, numerically simulated, and shown to support our claim that the protocol we present is valid and effective. The band structures for our ML are then computed and briefly discussed. In section 3, signatures for experimentally synthesizing and confirming our ML are discussed. Section 4 is devoted to discussions of experimental implementations and tunability issues of the ML idea we propose. Finally we summarize and discuss several potential experimental challenges for implementing our idea.
2. An effective ML from spatial dependent spin rotation
Our idea for generating a two-dimentional (2D) ML can be most easily appreciated in comparison to the earlier SOC protocol using GMF pulses [50]. As illustrated in figure 1(a) for one period, the first (second) half is composed of free evolution in a uniform magnetic field , sandwiched in between two short x- (y-) GMF pulses () with opposite amplitudes. B' denotes the averaged first order spatial derivative, or the spatial gradient of the magnetic field. denotes the duration of each pulse, which is assumed small and the same for all pulses, while is the duration between the two pulses. is half the period. Unlike the SOC protocol [50] with no bias along z-direction, a nonzero bias magnetic field along z-direction gives rise to a 2D ML in the – plane.
The dynamics from the first pulse are simple, with its evolution operator given approximately by , only due to the single atom Zeeman term , when it is assumed to overwhelm all other interactions. is the Bohr magneton. gF is the Lande g-factor for the ground state Zeeman manifold considered, e.g., with hyperfine spin F = 1 (as for 87Rb atom). denotes the x-, y-, and -component of . As shown in the appendices
which transforms the free evolution Hamiltonian into an approximate one with a SOC term plus a ML term
where is the Larmor frequency corresponds to the z-bias field B0 and kx and ky are the x- and y-components of the atomic momentum k respectively. The first term of equation (2) corresponds to the protocol for generating SOC [50], whose strength is given by the momentum impulse from the gradient pulse [50]. The second term effects the ML of our propose, which is with wave vector as illustrated in figure 1(b). We can proceed with a pair of y-gradient pulses as shown in figure 1(a). If the effective action from each cycle is small such that we can use Trotter expansion (see equation (B.1)) to the first order and combine the non-commuting x- and y-dependent terms into the same exponent, we end up with the 2D version
with
where acts as a quadratic Zeeman shift (QZS). The leading order correction to the time evolution operator (2) for the effective Hamiltonian (3) including 2D ML is assuming with . When the Trotter expansion fails, one can simply reduce free evolution time, which essentially constrains the strength of the synthesized ML [50]. More details on the relevant discussions can be found in the appendices. The synthesized = in our 2D ML gives the following eigenvalues ,corresponding to spinor components respectively for ,0,and ,for quantized along the position dependent direction of the local artificial ML field. The effective magnetic field is periodic in space with lattice constant as shown in figure 2(a),which provides a periodic interaction potential in the x–y plane,where atoms can be trapped at local minimums provided their kinetic energies are sufficiently small. The potential surface is shown by a 2D contour plot in figure 2(a). Along a line cut in one spatial direction as marked by the dashed line in figure 2(a),the potentials for the three spin states are shown in figure 2(b). Like in a real magnetic field, atoms moving across zeros of the synthetic magnetic field will undergo Majorana spin flips. To plug these zero field holes, an additional constant Zeeman term can be included in equation (3) between successive GMF pulse pairs for a duration to introduce extra free evolution. The net effective magnetic field then becomes = with and . A nonzero α then plugs the zero field holes of the effective magnetic field.
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Standard image High-resolution imageThe typical band structure of our 2D ML is shown in figure 3(a), which is found to be similar to the results for lattice models with p-orbital physics [53, 54], and distinctively different from usual OLs. The lowest two bands touch at Γ and X points, with Kx and Ky denoting reciprocal lattice vector components along x- and y-axis in the Brillouin zone. The third and fourth bands touch at M and X points. The band touching points are found to be robust against tuning of lattice depth. This degeneracy can be broken leading to a gap if a constant Zeeman term is added to equation (3) (a nonzero α as discussed previously) as shown in figure 3(b). The resulting band structure is found to be topologically trivial. Several variants of equation (3) generated by other pulse sequences, however, can indeed display nontrivial topological band structure. These new results will be further explored and published elsewhere [55]. To our knowledge, the type of 2D ML we generate here, is new to quantum condensed matter physics, and has not been discussed before.
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Standard image High-resolution imageFigure 4 compares a sampling of numerical solutions for the corresponding Gross–Pitaevskii equations[56]. For a fixed evolution time T = 100 μs, the results propagated from the actual dynamics using 1, 5, and 20 pulses (corresponding to = 50, 10, 2.5 μs) are shown in the 1st, 2nd, and 3rd columns, respectively. With increasing numbers of pulse cycles, atomic density distributions converge towards that from the effective dynamics by , which are shown in the last column. We find that the required error bounds can always be satisfied when is sufficiently short. Extensive simulations show that our idea is both effective and efficient. This conclusion is also supported by the analytic derivations of the effective interaction above as well as more detailed steps in the appendices, where all approximations used are found to be reasonable under most circumstances.
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Standard image High-resolution image3. Experimental detection
In this section, we discuss how the ML we synthesize can be detected, by making use of lattice induced atomic diffractions for the simple 1D case.
The periodic ML potential induces atomic diffraction, which in turn can be used for its detection. Let us consider the simple 1D case, and focus on the parameter regime , the Hamiltonian (equation (2)) then reduces to
after neglecting the SOC term. It is invariant under spatial translations over multiple lattice spatial periods along x-direction. After a spin rotation transformation about the y-axis, it becomes
where are the spin raising and lowering operators. Thus the ML represents a particular type of SOC, as an atom lowers (raises) its internal spin state, it gains (or loses) momentum . If the ML is suddenly turned on, atoms will start to oscillate among different spin-momentum eigenstates with frequency , where denotes the initial atomic kinetic momentum, and n denotes the diffraction order for an atom by the ML. The spin-momentum population oscillations can be detected by time of fight imaging after Stern–Gerlach magnetic field pulses, which reveal clear signatures of the synthesized 1D ML, as we illustrate in figure 5.
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Standard image High-resolution imageThe interaction terms in the ML we synthesize couple spatial diffractions with atomic spin flips, thus they can also be viewed as particular types of SOC. For the simple 1D case considered, the diffraction orders from our ML is finite, limited by the finite spin, rather than being infinite as for the usual spin-dependent lattice . When spin flip pulses or additional free evolution periods are introduced between successive 1D ML pulse pairs, the Fy terms can be compensated for. This will effectively reduce our ML in 1D to the usual type lattice with broken continuous translation symmetry, allowing for spatial diffractions to all orders. The 2D ML synthesized with our protocol always breaks continuous translation symmetry, thus is capable of infinite order spatial diffractions by itself. It encompasses the combined effects of a usual spin-dependent lattice and SOC.
4. Experimental implementation
The key component of our protocol is the pulsed 1D GMF which enacts position dependent spin rotations. Such a magnetic field does not exist alone because the divergence and curl of a magnetic field vanishes in free space. However, a 1D GMF can be effectively implemented with the help of a strong bias field, which selects out the gradient from any inhomogeneous field configuration [52]. In actual experiments, it can also be achieved by the combination of a RF quadrupole magnetic field with a strong bias field , following an earlier suggestion from [51]. In this case, the depth of our ML depends explicitly on the detuning between the RF field and the bias field Zeeman shift as detailed in appendix
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Standard image High-resolution imageLoading of ultracold atoms into the synthetic ML is straightforward. With atoms initially prepared in their ground state, turning on the time modulating GMF adiabatically will shift atoms into the ground state of the effective Hamiltonian [51], as was demonstrated in the recent experiment which synthesizes SOC with a modulating gradient GMF [52]. Additionally, kinetics from terms neglected during the approximation leading to the effective Hamiltonian will likely slave the system to the ground state of the effective Hamiltonian, as already shown to occur for a variety of time dependent control protocols in atomic quantum gas systems [61].
Compared with most OL schemes, both the SOC strength and the ML depth can be independently tuned in our scheme. In the optical Raman scheme [40, 62], is usually fixed given single photon recoil momentum and the intersection angle of the two Raman laser beams. It is difficult to tune continuously in any experiment. A recent experiment achieved continuous tuning to weaker SOC strength with periodic modulations applied to Raman laser phases [63]. In our protocol, is determined by the momentum impulse from a single gradient pulse, which can be increased with higher gradient or longer pulses. Thus it is convenient to tune continuously in an experiment. We can also tune the effective Hamiltonian (3) from being Rashba type SOC dominated by increasing the gradient and decreasing the bias magnetic field, to being ML dominated by reducing the gradient and increasing the bias magnetic field.
Finally we discuss the possibility of tuning atomic interaction by Feshbach resonance in our synthetic ML. As discussed above, in the RF plus bias field implementation, the ML depth is given by the detuning between the RF field frequency and the bias Zeeman field Larmor frequency. The bias Zeeman field strength can be independently changed to values around atomic Feshbach resonances. For our protocol to work, the two pseudo-spin states will need to possess different magnetic moments, a condition which is rightfully satisfied as tuning through a Feshbach resonance happens because the involved two atom states have different magnetic moments. This interesting prospect could even lead to spatial dependent atom–atom interactions using position dependent Feshbach resonances. In the presence of a strong GMF as required for our protocol, for example, at 0.25 as discussed earlier, a condensate with a size of will correspond to the net bias magnetic field differing by upto 5 Gauss at both edges. For Feshbach resonances with widths much larger than this value, a uniform interacting situation arises; otherwise position dependent interaction strength happens. The SOC gauge field can change low energy atomic interaction properties, leading to modified thresholds [64, 65] and p-wave behaviors [66]. When combined with ML, the modified atomic collision interactions will likely bring in rich possibilities of interesting many body physics.
5. Conclusion
In conclusion, we propose an idea for dynamical generation of 2D ML. A GMF couples atomic internal states with its spatial motion, giving rise to spatial dependent spin rotations, which can be viewed as an effective ML field. Both the lattice constant and its depth are tunable, and we can tune the effective Hamiltonian (3) from being Rashba type SOC dominated to being ML dominated with corresponding choices for the gradient field strength and the bias field strength. An atom moving inside a ML experiences a spatially periodic potential, whose band structure displays desirable features reminiscent of lattice models with interesting p-orbit physics. The protocol we present in this work can be generalized to other geometries, some of which under certain circumstances can display nontrivial topological band structures. These will be further explored and published elsewhere [55]. Using the simple example of atomic diffractions from a 1D ML, we find population oscillations among spin-momentum states, which provides an easily observable signal for verifying the existence of synthesized ML. We also discuss protocols for implementing our proposal in today's cold atom experiments. Finally, it is perhaps worth emphasizing that the scheme we propose is quite general. It can be applied to any atoms with magnetic moments, and it is applicable to both bosonic and fermionic atomic species.
Acknowledgments
We thank Drs Ron Folman, Shuyu Zhou, and Zhifan Zhou for helpful discussions. This work is supported by MOST 2013CB922002 and 2013CB922004 of the National Key Basic Research Program of China, and by NSFC (No. 91121005, No. 11274195, No. 11404184, and No. 11374176).
Appendix A.: 1D gradient magnetic field
The protocol for synthesizing ML as discussed in the main text makes use of GMF to enact position dependent spin rotations. Such a magnetic field, however, cannot simply exist because the divergence and curl of a magnetic field vanishes in free space. A convenient approach employs a 2D RF quadrupole magnetic field together with a strong bias field to provide an effective GMF as proposed in [51]. With denoting the linear Zeeman shift, in the frame rotating at and under rotating-wave approximation, the Hamiltonian containing Zeeman interaction with the bias field and the 2D RF quadrupole magnetic field is
provided , where is the detuning, and denotes the coefficient of the QZS for the bias field with the ground state hyperfine splitting. When and and neglecting QZS, choosing a particular phase of , this Hamiltonian reduces to , which describes Zeeman interaction of an atomic hyperfine spin with an effective 1D GMF . Similarly 1D GMF can be generated by the combination of a 2D RF quadrupole magnetic field with a strong bias field , and choosing . The bias field in the rotating frame is equivalent to the detuning, or .
Appendix B.: The validity conditions for the effective Hamiltonian
In the main text, the effective 2D ML Hamiltonian is derived by employing two approximations. First, the Zeeman term is assumed to overwhelm all other interaction terms during GMF pulses; and second, higher order terms are neglected when non-commuting exponents A and B are combined into the same exponent according to . This section provides the validity conditions for these two approximations by making use of the Trotter expansion to the first order
B.1. The condition for neglecting atomic motion during the gradient pulse
Taking into account the atomic motion during the GMF, the lowest order Trotter expansion for the evolution operator of as single gradient pulse is found to be
The last factor is the spatial dependent spin rotation discussed in the main text. The first two multiplying factors from accounts for the errors due to the neglect of atomic motion during the GMF pulse. The first factor denotes an 'extra' spin rotation caused by atomic motion, which can be safely neglected provided
assuming . For ultracold atoms at tens or hundreds of nK considered in this study, is always satisfied as it is simply equal to the statement of well below the recoil limit temperature, if we take a more typical momentum impulse of . The neglect of atomic motion during the gradient pulse can be well satisfied as we illustrate in figure B1 , which compares density distributions from the effective Hamiltonian (in the first column) with that from the dynamics of the discussed pulse sequence , 0.1, and 1 (in the 2nd, 3rd, and 4th column, from left to right). As becomes smaller, we see the approximation becomes better, and the atomic density distributions uniformly converge towards that from the effective dynamics.
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Standard image High-resolution imageB.2. The condition for achieving the 2D ML
We now proceed to investigate the condition for the second approximation. According to our protocol developed in the main text, we set
the commutator between A and B is found to be
where , and denotes anti-commutator. For spin-1/2 particles, , which gives if . Equation (B.5) in the above reduces to
The leading order correction to the time evolution operator for the 2D ML is therefore . The condition for combining the otherwise non-commuting x- and y-dependent exponents to forming the 2D ML in the same exponent is then simply given by
which is easily seen to be satisfied as shown in figure 4.