Significance
In recent years, there has been considerable effort to bring ultracold atoms into the realm of nanophotonics. Nanoscopic dielectric devices offer unprecedented opportunities to engineer novel capabilities for the control of atom–photon interactions. In particular, photonic crystals are periodic dielectric structures that display a photonic bandgap where light cannot propagate and provide a new setting for coherent photon-mediated interactions between atoms with tunable range. Here, we report the initial observation of cooperative atom–atom interactions around the band edge of a photonic crystal waveguide. Our experiment opens the door to fascinating scenarios, such as exploring many-body physics with large spin exchange energies and low dissipation.
Keywords: quantum optics, nanophotonics, atomic physics
Abstract
Tailoring the interactions between quantum emitters and single photons constitutes one of the cornerstones of quantum optics. Coupling a quantum emitter to the band edge of a photonic crystal waveguide (PCW) provides a unique platform for tuning these interactions. In particular, the cross-over from propagating fields outside the bandgap to localized fields within the bandgap should be accompanied by a transition from largely dissipative atom–atom interactions to a regime where dispersive atom–atom interactions are dominant. Here, we experimentally observe this transition by shifting the band edge frequency of the PCW relative to the line of atomic cesium for atoms trapped along the PCW. Our results are the initial demonstration of this paradigm for coherent atom–atom interactions with low dissipation into the guided mode.
Recent years have witnessed a spark of interest in combining atoms and other quantum emitters with photonic nanostructures (1). Many efforts have focused on enhancing emission into preferred electromagnetic modes relative to vacuum emission, thereby establishing efficient quantum matter–light interfaces and enabling diverse protocols in quantum information processing (2). Photonic structures developed for this purpose include high-quality cavities (3–7), dielectric fibers (8–13), metallic waveguides (14–16), and superconducting circuits (17–19). Photonic crystal waveguides (PCWs) are of particular interest, because the periodicity of the dielectric structure drastically modifies the field propagation, yielding a set of Bloch bands for the guided modes (GMs) (20). For example, recent experiments have shown superradiant atomic emission because of a reduction in group velocity for an atomic frequency near a band edge of a PCW (21).
A quite different paradigm for atom–light interactions in photonic crystals was proposed in the works in refs. 22–25 but has yet to be experimentally explored. In particular, when an atomic transition frequency is situated within a bandgap of a PCW, an atom can no longer emit propagating waves into GMs of the structure. However, an evanescent wave surrounding the atoms can still form, resulting in the formation of atom–photon-bound states (26, 27). This phenomenon has attracted new interest recently as a means to realize dispersive interactions between atoms without dissipative decay into GMs. The spatial range of atom–atom interactions is tunable for 1D and 2D PCWs and set by the size of the photonic component of the bound state (28, 29). Many-body physics with large spin exchange energies and low dissipation can thereby be realized in a generalization of cavity quantum electrodynamics (CQED) arrays (30, 31). Fueled by such perspectives, there have been recent experimental observations with atoms (21, 32, 33) and quantum dots (34, 35) interacting through the GMs of PCWs, albeit in frequency regions outside the bandgap, where GMs are propagating fields.
In this manuscript, we report the observation of collective dispersive shifts of the atomic resonance around the band edge of a photonic crystal. Thermal tuning allows us to control the offset of the band edge frequency () of the PCW relative to the frequency of the line of cesium (Cs). In both the dispersive domain [i.e., outside the bandgap with electric field ] and reactive regime [i.e., inside the bandgap with ], we record transmission spectra for atoms trapped along the PCW, as illustrated in Fig. 1A.
Fig. 1.
Description of the alligator PCW. (A) Atoms are trapped above the PCW in an optical dipole trap formed by the reflection of a near-normal incidence external beam (21). The orange cylinder represents the confinement of the atoms, which is μm along the axis of the device and nm in the transverse directions (SI Text). The three green spheres represent trapped atoms that interact radiatively through the fundamental TE GM, polarized mainly along y. The decay rate for a single atom into the PCW is (red arrows), and the decay rate into all other modes is (wavy red arrow). (B) SEM images of portions of the tapering and PCW sections. The suspended SiN device (gray) consists of 150 cells and 30 tapering cells on each side. The lattice constant is nm, and thickness is 185 nm. (C) Calculated band structure of the fundamental TE (solid) and TM (translucent) modes using an eigenmode solver (38) and the measured SEM dimensions, which are modified within their uncertainty to match the measured bands. The black curves represent the Bloch wavevector (lower axis). The red curves show the attenuation coefficient of the field for frequencies in the bandgap (upper axis) and are calculated by means of an analytical model (SI Text). The dotted lines mark the frequencies of the Cs ( THz) and D2 ( THz) transitions. The dielectric band edge is indicated as . The pink shaded area represents the TE bandgap. The gray shaded area represents the light cone.
To connect the features of the measured transmission spectra to underlying atom–atom radiative interactions, we have developed a formalism based on the electromagnetic Green’s function. The model allows us to infer the peak single-atom frequency shift of the atomic resonance and GM decay rate as functions of detuning between the atomic and band edge frequencies. From the observation of superradiant emission outside the bandgap, we infer the average number of trapped atoms to be , as described in ref. 21 and SI Text. (SI Text has thorough descriptions of the design and characterization of the PCW, how to obtain the attenuation coefficient and the band edge position of the PCW, how to generate the atomic spectra fits, and the measurements of atomic decay.) For frequencies inside the bandgap ( GHz), the ratio of dissipative to coherent rates is because of the exponential localization of the atomic radiation in the bandgap. For comparison, the prediction for our system from CQED models alone is . Other than yielding a more favorable ratio between coherent and dissipative GM rates, PCWs offer significant advantages compared with conventional cavities as platforms for atom–light interfaces. First, the range of interaction in a PCW is tunable, ranging from effectively infinite to nearest neighbor (28, 29, 36), in contrast to the fixed infinite range of a cavity. Second, because of the multimode nature of PCWs, one can use different GMs as different interaction channels to which the atoms simultaneously couple.
Alligator PCW
Fig. 1A provides an overview of our experiment with atoms trapped near and strongly interacting with the transverse-electric (TE) mode of an alligator PCW. The suspended silicon nitride (SiN) structure consists of nominally identical unit cells of lattice constant nm and is terminated by 30 tapering cells on each side, as shown in the SEM images in Fig. 1B. The tapers mode-match the fields of the PCW to the fields of uncorrugated nanobeams for efficient input and output coupling. Design, fabrication, and characterization details are described in refs. 21, 32, and 33. Fig. 1C shows the nominal cell dispersion relations for the TE (polarized mainly along y) and transverse-magnetic (TM) modes (polarized mainly along z). After release of the SiN structure from the silicon (Si) substrate, a low-power CF4 etch is used to align the lower/“dielectric” TE band edge () to the Cs transition (). The TM mode has band edges far detuned from the both the Cs and lines. In our experiment, the TE mode is used to probe the atoms, whereas the TM mode with approximately linear dispersion serves to calibrate the density and trap properties.
To better understand atomic interactions with the PCW, it is helpful to visualize the spatial profile of the fields generated absent atoms, when light is input from one end. Fig. 2A shows the measured intensity along the length of the PCW as a function of probe detuning around the band edge, where is the probe frequency. The intensity was measured by imaging weak scatterers along the length of the alligator PCW that, after calibration, serve as local probes of the intensity (SI Text). Fig. 2B shows the corresponding finite difference time domain (FDTD) simulated intensity (37). In both images, resonances appear at because of the weak cavity formed by the reflections of the tapers. The spatial modulation of the intensity at the resonances caused by the cavity effect is approximated by , where is the effective wavevector near the band edge. The nth resonance at frequency is such that , where L is the effective length of the PCW (including field penetration into the tapers). Fig. 2C shows a plot of for a probe input at frequency at the first resonance. Inside the bandgap (), the field is evanescent, and . Fig. 2D plots for probe frequency inside the bandgap and shows the exponential decay of the intensity. Using a model for the field in a finite photonic crystal (SI Text), we fit the measured intensity for each frequency in Fig. 2 A and B and extract and , thereby obtaining the dispersion relations shown in Fig. 2E. Importantly, we determine the band edge frequency for the actual device to be GHz relative to the readily measured first resonance at , which is in good agreement with the FDTD-simulated result of 135 GHz.
Fig. 2.
Characterization of the alligator PCW. (A) Measured and (B) calculated electric field magnitudes along the PCW as functions of position x along the PCW and probe detuning relative to for the dielectric band edge. (C and D) GM intensity along PCW at two different frequencies: (C) for the first cavity resonance showing a resonant “supermode” and (D) inside the bandgap displaying exponential decay ( at ). For clarity, the number of cells of the nominal and tapering sections is decreased by a factor of five, and the Bloch periodicity ( nm), although present, is not shown in the intensity. The orange ovals represent the confinement of the atoms in the optical trap above the PCW, which is μm along the x axis of the device and nm, with a PCW gap width of 220 nm. (E) Dispersion relation for the projected wavevector and attenuation constant vs. probe detuning deduced for the PCW obtained by fitting the data in A to a model of the device (SI Text). The shaded pink area represents frequencies inside the bandgap. (F) Plot of the exponentially localized emission from an atom (green sphere) at position with transition frequency inside the bandgap.
Both are relevant to our measurements of transmission spectra with trapped atoms. The presence of a “cavity” mode at implies that the emission of an atom with transition frequency will generate a field inside the PCW with an analogous spatial profile to that of the cavity mode, as shown in Fig. 2C. By contrast, atomic emission in the regime with within the bandgap will excite an exponentially localized mode centered around the atomic position , as illustrated in Fig. 2F.
Experiment
Cs atoms are trapped above the surface of the alligator PCW, as shown in Fig. 1A, using a similar experimental setup to that reported in ref. 21. As described in more detail in ref. 21, the decay rate into the GM is exponentially sensitive to the trap position above the surface of the alligator PCW. Our calculations and measurements of agree with COMSOL simulations (38) of the trap position, and thus, we are able to determine that the Cs atoms are trapped nm above the surface of the alligator PCW. Atoms are cooled and trapped in a magneto-optical trap (MOT) around the PCW and then loaded into a dipole trap formed by the reflection from the device of a frequency red-detuned side illumination (SI) beam. The SI beam has a waist of 50 μm, and the polarization is aligned along the x axis for maximum reflection from the PCW. We measure a trap lifetime of ms, and we estimate an atom temperature of μK from time of flight measurements. From the trap simulations (details are in SI Text), we infer that the atoms are confined to a region 145 nm above the surface with dimensions μm and nm. The simulations predict that more energetic atoms escape the trap and collide into the structure, because the weakest direction of the trap is along the diagonals of the y–z plane due to Casimir–Polder forces.
To estimate the average number of trapped atoms, we measure the superradiant atomic decay rate when the atom frequency is tuned to the first resonance of the PCW (Fig. 2C) (21). Because of the strong dissipative interactions between the atoms and with , the collective decay rate is enhanced compared with the single-atom decay rate, and we infer an average atom number of (SI Text). In the low-density limit , the measured decay rate corresponds to that of a single atom. We then measure a GM decay rate , which is in good agreement with the FDTD simulations at the calculated trap location (SI Text).
After the atoms are loaded into the trap, we send a weak 5-ms probe beam with frequency in either the TE or TM GM through the PCW and record the transmitted intensity . The probe beam scans near the Cs transition. Each experimental cycle runs at a fixed detuning relative to the free space atomic transition frequency . We observe little change of signal during the 5-ms probing time, suggesting that the atom number is approximately constant over this interval. The band edge of the PCW is tuned thermally by shining an external laser onto a corner of the chip, where its light is absorbed by the Si substrate. Hence, the Cs line can be aligned to be either outside or inside the bandgap with an uncertainty GHz. The transmission for each data point is normalized by the transmission with no atoms (), resulting in a measurement of . The logarithm of the measured and simulated transmission spectra with no atoms is shown in Fig. 3A.
Fig. 3.
Transmission spectra of the PCW (A) without and (B–D) with trapped atoms. (A) Measured (black) and FDTD-simulated (blue) transmission spectra of the PCW without atoms as a function of the probe detuning from the band edge frequency, . There is a minimum extinction of 25 dB for the transmitted signal because of fabrication imperfections. (B–D) Transmission spectrum for trapped atoms vs. probe detuning at several frequencies around the band edge. The solid lines are fits using the transmission model in Eq. 4 averaged over atom positions and different atom numbers. In B, the Cs line is aligned to the first cavity resonance , resulting in symmetric spectra for both the TE (black; ●) and TM (gray;
) modes. The TE spectra in C are for frequencies on the negative side (ν−;
) and positive side (ν+;
) of the resonance. The TE spectra in D are taken at the band edge (;
) and 60 GHz (;
) into the bandgap. The asymmetry of the line shapes in C and D implies a large ratio of coherent to dissipative interactions.
Examples of transmission spectra with atoms are shown in Fig. 3 B–D. Note that the spectra are shifted 12.5 MHz because of both the alternating current (AC) Stark shift of the dipole trap and the modified Lamb shift induced by the non-GMs of the PCW. Notably, the transmission spectra at the first cavity resonance exhibit a characteristic Lorentzian “dip,” and they become more asymmetric as the frequency moves into the bandgap.
Transmission Model
We have developed a model to extract quantitative values for collective decay rates and frequency shifts from these atomic transmission spectra (39). Although the formalism of waveguide (40) and CQED (41) is well-suited for describing atoms coupled to uniform waveguides and cavities, it is not general enough to capture the rich physics of atomic interactions in the vicinity of a PCW. Instead, we describe our system by using a spin model in terms of the classical electromagnetic Green’s function, in which the atoms (or “pseudospins” for ground and excited states) interact through the emission and reabsorption of guided photons (42–44).
The electromagnetic Green’s tensor is related to the electric field emitted by a dipole oscillating at frequency ω at position by (43, 45). The dipole moment operator for atom i is decomposed into , where is the dipole matrix element and is the atomic coherence operator between the ground and excited states. The spin model describes a system of N atoms coupled to and driven by a GM of the PCW. In the low-saturation and steady-state regime, expectation values for the atomic coherences () are described by a linear system of equations (39) (SI Text):
| [1] |
where is the detuning between the probe and the atomic angular frequencies, is the classical drive (Rabi frequency) for the ith atom due to the GM input field, and , where and . Each atom can also decay into non-GMs, including free space, with a decay rate . The appearance of the real and imaginary parts of the Green’s function in the coherent and dissipative terms has the classical analog that the in-phase and out of phase components of a field with respect to an oscillating dipole store time-averaged energy and perform time-averaged work, respectively. Because the first term in Eq. 1 is diagonal, the atomic coherences can be understood in terms of the eigenvalues for and the eigenfunctions of the matrix , which has elements that are ; the real and imaginary parts of correspond to frequency shifts and GM decay rates, respectively, of the collective atomic mode ξ.
The transmission spectrum can be expressed in terms of the eigenvalues of as (39) (SI Text)
| [2] |
where is the transmission without atoms. In the case of a single atom i, the only eigenvalue is proportional to the self-Green’s function, , which implies that the transmission spectrum is a direct measurement of the self-Green’s function at the atom’s position. For noninteracting atoms, the off-diagonal elements of are zero, and thus, the eigenvalues are single-atom quantities, , because there is no cooperative response.
In contrast, for interacting atoms, the off-diagonal elements are nonnegligible, and there is a cooperative response. In particular, for the atomic frequency inside the bandgap of a photonic crystal, the elements are well-approximated by (28)
| [3] |
where the cosine factors arise from the Bloch mode, and the decay length is caused by the exponential decay of the field and results in a finite range of interaction. For an infinite photonic crystal, , because the light is localized, and there is no dissipation through the GM. However, for a finite PCW of length L, the GM dissipation is finite because of leakage of the mode out of the edges of the structure.
In the limit where the interaction range is much larger than the separation of the atoms, , the GM input field couples predominantly to a single collective “bright” mode of the system with eigenvalue . Formally, when , the matrix is separable [ with ] and therefore, only has one nonzero eigenvalue. In this single bright mode approximation, the transmission spectrum is given by
| [4] |
We have confirmed numerically that this single bright mode picture is valid within the limits of our uncertainties for the range of frequencies of the measured spectra in Fig. 3. In particular, at the largest detuning into the bandgap GHz, we have . However, for atomic frequencies farther away from the band edge, this approximation eventually breaks down (e.g., at the bandgap center, ).
The single bright mode approximation is also valid in conventional CQED. The Green’s function matrix is then given by , where is the wavevector of the standing wave cavity. In this case, and , where is the detuning from the cavity resonance and is the cavity linewidth. Importantly, the ratio of the imaginary dissipative coupling rate to the real coherent coupling rate falls off with inverse detuning, for large , whereas in a PCW bandgap, the fall off is exponential with detuning from the band edge.
Analysis of Measured Spectra
Eq. 4 provides a direct mapping between the observed transmission spectra in Fig. 3 B–D and the electromagnetic Green’s function of the PCW. In particular, the line shape is Lorentzian for purely dissipative dynamics (). This line shape is precisely what occurs at the frequency of the first cavity mode , as shown in Fig. 3B. When the GM band edge frequency is moved toward the atomic resonance , the dispersive interactions are switched on, and the transmission line shape becomes asymmetric, displaying a Fano-like resonance (46), which can be observed in Fig. 3 C and D. The appearance of an asymmetry in the atomic spectra directly reveals a significant coherent coupling rate , which is evident for frequencies that are in the bandgap region.
For all relevant frequencies, the spectra for the TM GM are approximately symmetric, since for this GM polarization. An example of a TM spectrum is shown as the gray curve in Fig. 3B. Because the TM bandgap is so far detuned, the TM spectra are insensitive to and serve as a calibration signal. Using a waveguide transmission model, we fit the TM transmission spectra and extract a TM GM decay rate of . This rate is times smaller than the TE GM decay rate at the first resonance . The ratio is explained well by the expected slow-light and cavity enhancement of the PCW described in ref. 21 and SI Text. From the TM fits, we also measure MHz, which because of inhomogeneous broadening, is larger than the value MHz predicted from FDTD numerical calculations (SI Text). While tuning the band edge to move the atomic frequency into the bandgap, TM spectra are measured to confirm in situ that the average atom number is approximately constant over the course of the measurements of TE spectra.
To obtain quantitative values for the collective frequency shifts and decay rates by fitting the TE atomic spectra to the spin model, we must account for the fluctuations in atom number and position along the x axis. As depicted in Figs. 1A and 2C, trapped atoms are approximately free to move along the axis of the device (SI Text). Their coupling rates are thus modulated by the fast oscillation of the Bloch function, which near the band edge, is approximately given by Eq. 3, , and . Here, and are the peak values. Furthermore, although we know the average atom number atoms from independent decay rate measurements (SI Text), the atom number for each experiment follows an unknown distribution. To model the experimental transmission spectra, such as in Fig. 3, we average the expression in Eq. 4 over the atom positions along the Bloch function and assume a Poisson distribution for the atom number N. We extract peak values and and plot the resulting cooperative rates and in Fig. 4A. In particular, at the first resonance , the fitted single-atom GM decay rate is , which is in good agreement with the decay time measurements . More generally, we find good agreement between our measurements and our model for the transmission, as shown in Fig. 3.
Fig. 4.
(A) Peak dissipative interaction rate (green) and coherent rate (blue) around the band edge. With determined from independent decay rate measurements, the values for are found from fits of the transmission model in Eq. 4 to the measured atomic spectra and normalized by the free space decay rate MHz for the Cs line. The lines are the predictions from a numerical model based on 1D transfer matrices. (B) The measured and calculated ratios . The average of the two points in the bandgap gives a ratio of the dissipative to coherent coupling rate . B, Inset is a comparison of for the PCW calculation (solid line) and CQED model (dashed line). From the measured linewidth of the first cavity resonance, GHz, CQED predicts that , where . Note that is plotted to more readily compare and as the band edge is approached.
The ratio is shown in Fig. 4B. Because of the evanescent nature of the field in the bandgap, decays exponentially with increasing detuning into the bandgap, , where (28). As displayed in Fig. 4B, Inset, the ratio between the GM decay rate Γ1D to the GM frequency shift J1D diminishes much faster than would be the case in traditional settings, such as CQED, for which , where is the cavity linewidth and is the detuning from the cavity resonance. Indeed, by performing an average of the last two measured frequencies in the bandgap, we obtain , whereas , where we have taken the cavity linewidth to be a value consistent with the linewidth of the first cavity mode of the PCW ( GHz). We can then infer that the ratio of dispersive to dissipative rates for GM atom–atom interactions (i.e., ) is significantly larger than is the case in conventional optical physics (e.g., CQED).
Beyond the detailed modeling involving Eq. 4 averaged over fluctuations in atom number and position, we also fit the spectra with a generic transmission model with no averaging, as shown in SI Text. We find that the effective values for the GM decay rate and frequency shift are related to and in Fig. 4A by a simple scale factor related to the averaging of the Bloch function .
Despite favorable scaling between the collective frequency shifts and the GM decay rates, there is still one obstacle to overcome toward purely dispersive atomic interactions, namely atomic emission into non-GMs (characterized by ). For this PCW structure, the FDTD-simulated value of this decay rate is (21) for the relevant frequencies of our experiment. Fortunately, it has been shown that suitable engineering of a wide variety of nanophotonic structures can lead to significant reductions in (47). For example, ref. 1 reviews possibilities to achieve .
Concluding Remarks and Outlook
In conclusion, we report the initial observation of cooperative atom interactions in the bandgap of a PCW. By tuning the band edge frequency of the PCW, we are able to modify the interactions between the atoms that are trapped close to the device, reducing the dissipative relative to coherent coupling for frequencies inside the bandgap of the PCW. Equipped with a theoretical model based on the electromagnetic Green’s function of the alligator PCW, we infer quantitative values for the collective frequency shifts and decay rates experienced by the atoms. Moreover, we infer a suppression of the dissipative interactions with respect to the coherent ones several times larger than is customarily obtained in atomic physics. This measurement provides the first stepping stone toward the realization of quantum many-body physics in bandgap systems.
Moreover, near-term extensions of our experiment open the door to exploring new physical scenarios by using atoms coupled to PCWs. By trapping the atoms at the center of the device with GMs (47), we expect a sixfold increase to both coupling strengths and relative to . Moreover, by probing the atoms with the Cs line tuned to the upper band edge, where the intensity at the position of the atoms is larger, we expect a further improvement by a factor of two. Combining these two effects, we expect a significant enhancement of interactions through GMs compared with conventional free space interactions, namely . This improvement could enable investigations of new paradigms for atom–photon interactions (28, 29, 36), including the recently proposed multiphoton dressed states (26, 27).
Note.
After the submission of this manuscript, ref. 48 reported measurements of transmission spectra for a superconducting qubit placed within the bandgap of a microwave photonic crystal.
SI Text
In our results in the main text, we measure collective frequency shifts and decay rates for atoms trapped near a PCW. In our previous work in ref. 21, we trapped multiple atoms in an optical dipole force trap above the PCW. We operated with the atomic frequency outside the bandgap in a regime with large decay rate and small coherent coupling rate . By varying the density and observing the superradiant decay of the atoms , we inferred the single-atom GM decay rate and the average number of atoms . Importantly, this measured single-atom decay rate agreed well with the FDTD simulations at the calculated trap location. This good agreement is in part because of the nanometer-scale accuracy in which the alligator PCWs are fabricated, which is required for both the band edge alignment and the device quality.
In our paper, the band edge of the PCW is tuned around the resonance frequency of the atoms, and we observe the dominance of the GM-coherent coupling rates over the dissipative coupling rates , which is associated with atomic radiative processes for operation within the bandgap. To extract quantitative values for these parameters from our measurements of transmission spectra for atoms trapped along a PCW, we have developed theoretical techniques based on Green’s functions for the PCW, which are new to atomic physics. As in ref. 21, the average number of atoms is measured by way of transient decay. Our principal finding relates to the turning off of the GM decay rate , which in the bandgap, is predicted to be exponentially suppressed, while nonetheless, retaining appreciable coherent processes described by .
For the spectra in our paper, the transmission through the device decreases exponentially in the bandgap, and more time is required to measure the transmission spectra compared with our work in ref. 21. Unfortunately, Cs slowly coats the PCW during the measurement, both degrading the device quality and shifting the band edge out of the thermal tuning range. As a result, each device only has a limited lifetime for making transmission measurements. For our experiment, we first repeated superradiance measurements outside the bandgap at the first resonance of the PCW to determine the average number of atoms and the single-atom GM decay rate and show that the atoms behave as a collective emitter. Then, with an average number of , we measured transmission spectra as the atomic frequency is shifted into the bandgap. We simultaneously measured the TM spectra to verify that the atom number is constant over the course of the measurements of the TE spectra.
1. Alligator PCW Design and Fabrication.
The schematic of the device is shown in Fig. S1A. Light is coupled into and out of the device by mode-matching the output of an optical fiber to that of a terminated rectangular-shaped waveguide on both sides of the device (33). The fibers are glued permanently in etched v grooves at optimized coupling positions. The design and fabrication of the alligator PCW are detailed in ref. 33. The PCW is fabricated on a 200-μm Si chip coated with a 200-nm-thick SiN film. The SiN device is suspended across a 2-mm-wide window after the Si substrate beneath it is removed, as shown in the image in Fig. S1B. The window allows optical access for the trapping and cooling of atoms around the device.
Fig. S1.
Alligator PCW chip and device overview. (A) Schematic of the entire device. The alligator PCW is at the center. Optical fibers (green) on both ends couple light into and out of the waveguide. The waveguide is surrounded by supporting and cooling structures. (B) Image of a -mm PCW chip. Multiple waveguides stretch across the window of the chip, with the PCWs at the center of the window. The window provides optical access for trapping and cooling atoms around the device. Reproduced from ref. 33, with the permission of AIP Publishing. (C) Overview of device variables. The lattice constant for the entire device is nm. The device dimensions are measured with an SEM and calibrated to the lattice constant. The device dimensions are nm, nm, nm, nm, and nm. The thickness of the SiN is nm. The index of refraction for Si3 N4 is around our frequencies of interest.
The dielectric TE mode band edge () is aligned to within 200 GHz of the Cs D1 line ( THz) by a low-power inductively coupled reactive ion CF4 etch. The directional etch thins the SiN layer at a rate of 3 nm/min until a transmission measurement confirms alignment of the band edge. The final geometric dimensions of the device used in the text are given in Fig. S1C.
For the experiment, the chip is placed at the center of an ultrahigh vacuum chamber, and the optical fibers exit through Teflon fiber feedthroughs. We measure the transmission through a device using a superluminescent diode as the source and an optical spectrum analyzer as the detector. The measured transmission and reflection spectra are shown in Fig. S2A. The transmission spectra near the lower (dielectric) and upper (air) band edges are compared with an FDTD simulation in Fig. S2 B and C.
Fig. S2.
Measured and simulated transmission and reflection spectra. (A) Transmission (black) and reflection (blue) spectra through the entire chip for the TE mode (polarization in the plane of the device). The red dashed lines are the Cs D1 (335.1 THz) and D2 (351.7 THz) lines. The TE transmission efficiency through the entire device near the dielectric band edge is , indicating that the single-pass efficiency from the fiber to device is approximately . Most of the loss is caused by the waveguide to fiber coupling section. The gray line is the TM transmission (polarization perpendicular to the plane of the device). Note that the lower band edge of the TM mode is visible at around 365 THz but far detuned from both Cs D1,2 transitions. (B and C) TE transmission data are normalized and compared with an FDTD simulation (37). The simulation uses the measured device parameters in Fig. S1 that are adjusted within the uncertainty of the measurements so that the positions of the first resonances match those in the measured spectra.
2. Alligator Dispersion Relation from Scattering Images.
Here, we describe the analysis performed for the PCW dispersion relations in Fig. 2E. We send a single-frequency laser beam through the device and image the scattered light with a microscope. We integrate the image over the width of the PCW to produce a single plot of intensity vs. position. Then, we scan the laser frequency around the lower band edge to produce a 2D plot of scattered intensity as a function of position x along the device and frequency ν of the input light.
The weak scattered light comes from small fabrication imperfections or intrinsic material defects and serves as a probe of the local intensity. Because each scatterer emits light at a different rate, we have to normalize the scattered light by a reference intensity spectrum in which the intensity of the device is known. For this reference spectrum, we average over the intensities for frequencies far from the band edge, where the PCW behaves like a waveguide and the local intensity in the device is approximately constant. The normalized data are shown in Fig. S3, and a zoomed-in version is in Fig. 2A.
Fig. S3.
Normalized magnitude of the scattered electric field of the PCW for frequencies around the band edge. The schematic in Left shows the PCW with the number of unit cells reduced by five.
In the FDTD simulation described above, we calculate the intensity along the center of the device for frequencies around the band edge. Taking the maximum intensity in each unit cell and normalizing by the intensity in the waveguide regime, we produce Fig. 2B.
Next, we fit the intensity spectrum at a given frequency to a model to extract the wavevector for that frequency. Near the band edge, the field in an infinite PCW is well-approximated by , where in the propagating band and inside the bandgap (). The edges of a finite photonic crystal reflect with because of a large group index mismatch between the waveguide section and the PCW. The resonances of the weak cavity result in the cavity-like intensity profiles seen at frequencies in Fig. S3. The intensity at a point x along a finite photonic crystal of length L is well-approximated by a model based on the intensity in a cavity with two mirrors of reflectivity :
| [S1] |
where is related to the overall intensity. This expression ignores the fast oscillations of the Bloch function, which go as . Note that in the bandgap (when ), the intensity model reduces to an exponential decay: . Interestingly, at the band edge ( and ), the intensity displays a quadratic dependence on the position: .
For each frequency, we fit the intensity along the nominal cells with Eq. S1 and extract . This procedure allows us to map out the dispersion relation , which we show in Fig. 2E for the measured and simulated data. From the simulated fits, we find that the effective length of the cavity is 162 cells, which is slightly longer than the 150 nominal cells and is expected due to the leakage of the cavity field into the tapering sections. We use this length for the fits of the measured data. Examples of the measured and simulated intensities are shown in Fig. S4. The fluctuation of the intensity, even after the normalization, is most likely caused by the spatial profile of Bloch mode. The normalization trace is taken by averaging data for excitation frequencies farther away from the band edge where the Bloch mode contrast is reduced, whereas the data closer to the band edge have a large Bloch mode fringe visibility. However, the fluctuations do not affect the statistical fits at the level of accuracy required for the dispersion relation in this work.
Fig. S4.
The electric field magnitude in (A) the PCW at the first resonance and (B) the bandgap GHz. The points show measured data, and the black lines are from an FDTD simulation. The electric field magnitude is normalized by the electric field magnitude far from the band edge; thus, these plots give the enhancement of relative to the waveguide regime.
The frequency for which is defined as the band edge frequency . To extract this frequency and the curvature of the dispersion relation near the band edge, we fit the measured and simulated dispersion relations with a dispersion model (21),
| [S2] |
where () is the lower (upper) band edge frequency, and ζ is a frequency related to the curvature of the band near the band edge. From the measured data fits, the distance between the first resonance and band edge is GHz and THz. The simulated data give GHz, and the curvature parameter is THz. These values are in good agreement with the dispersion relation from the eigenmode simulation of the infinite PCW in Fig. 1C, which gives THz.
3. SI Trap.
In Fig. S5A, we show a schematic of the SI trap. The SI beam is nearly perpendicular to the axis of the device, has a 50-μm diameter, and has a polarization aligned to the axis of the device (Fig. S5A). The orange areas in Fig. S5A represent the approximate localization of the atoms along . By time of flight measurements of atoms in the dipole trap, we estimate an atomic temperature of ∼30 μK. From the beam waist and atom temperature, we can infer that the atoms are localized to μm along the x axis.
Fig. S5.
(A) Schematic of the atoms in the SI trap. Given the estimated atom temperature of 30 μK, we infer that the atoms are confined to a length of μm along the x axis. (B–D) Far-off–resonance optical trap (FORT) potentials for the SI trap simulation (B) in the y–z plane (21), (C) along the z axis, and (D) along the x axis.
Simulations of the SI trap potential are shown in Fig. S5 B–D. The simulations are performed for the infinite structure with COMSOL. The trap depth is calibrated with the 12-MHz AC Stark shift measured from the atomic spectra. Fig. S5B shows the trap potential in the y–z plane. Atoms that are significantly hotter than μK are expected to crash into the device along the diagonal directions because of Casimir–Polder forces. Fig. S5C shows the trapping potential along the z axis. Atoms are trapped at nm. Fig. S5D shows the trap along the x axis. Because of the photonic crystal, the trap modulates by μK along the x axis, which is significantly smaller than the estimated trap temperature.
In addition to the results in Fig. S5, we have also carried out numerical modeling of the optical trap using Lumerical simulations (37) of the actual finite length PCW and tapers shown in Fig. S1. We have as well included Casimir–Polder potentials as in ref. 47. More details of the trap are discussed in ref. 21.
4. Transmission Model and Atomic Spectra Fits.
Here, we give a more detailed description of the transmission model in the text, which follows the derivation given in ref. 39. A system of N atoms coupled to a radiation field can be described using formalism based on the classical Green’s function (42, 43). In the Markovian limit, the field can be eliminated to obtain a master equation that describes the interactions between the atoms: . Here, the Hamiltonian H gives the coherent evolution of the system:
| [S3] |
and the Lindblad operator gives the dissipation of the system:
| [S4] |
The Hamiltonian and the Lindblad are expressed in terms of the atomic coherence operator between the ground and excited states of atom j. The Hamiltonian contains terms for the free-atom evolution, the coherent atom–atom interactions, and the classical drive, respectively; is the detuning between the probe and the atomic angular frequencies, and is the Rabi frequency for atom j caused by the GM field. The atom–atom spin exchange rate is expressed in terms of the real part of the GM Green’s function as
| [S5] |
where , and is the dipole matrix element of atom j. The Lindblad term is responsible for the dissipative interactions in the system, which include atomic decay into non-GMs () and GMs (). The decay rate into the GM is written in terms of the imaginary part of the Green’s function as
| [S6] |
For low atomic density along the PCW, the nonguided emission rate is not cooperative and is described here as a single-atom effect, with as the Kronecker delta.
In the low saturation regime, the Heisenberg equations for the expectation value of the atomic coherences () can be solved for with the master equation leading to
| [S7] |
where the complex coupling rate is
| [S8] |
which is the Green’s function between atoms i and j projected onto the respective dipole matrix elements. In the steady-state solution, the time derivative is set to zero, and the result is the linear system of equations for the atomic coherences given in the text.
The electric field in the system can be expressed in terms of the input probe field and solutions for the atomic coherences (39):
| [S9] |
An expression for the transmission through a quasi-1D structure can be derived by solving the steady-state system of equations in Eq. S7 for the atomic coherences and substituting them into Eq. S9. The expression can then be simplified in the case where the dipole moments are real, in which case is a complex symmetric matrix with eigenvectors and eigenvalues , and where the Green’s function is well-represented by a 1D Green’s function. The final result is (37)
| [S10] |
where is the transmission without atoms.
In the bandgap, the matrix of elements is well-approximated by
| [S11] |
As discussed in the text, when the interaction range is much larger than the separation distance (), there is only a single atomic bright mode for which the frequency shift and GM decay rate are given by and . The transmission spectrum for N atoms in the single bright mode approximation is given by
| [S12] |
where is the detuning between the pump and the atomic frequency, and is the device transmission when no atoms are present.
Explicitly accounting for the atoms’ positions by substituting Eq. S11 into Eq. S12, we find that the transmission is given by
| [S13] |
We have defined to account for the AC Stark shift of the atoms because of the dipole trap.
To accurately model the experimental conditions, we average the transmission model over atom positions and atom number. During a single measurement, the atoms are free to move along the length of the device over the range as in Fig. S5A, evenly sampling the Bloch function. We let be an average over all positions, that is,
We repeat the measurement multiple times for each frequency . Each experiment can have a different number of atoms, and therefore, we average the transmission expression over a Poisson distribution , which is a function of the average atom number . The transmission model averaged over both atom positions and atom numbers is given by
| [S14] |
This expression is the final form of the transmission model that we use to fit the atomic spectra.
Assuming , which is obtained from the atom decay rate measurement, we fit the TE atomic spectra with Eq. S14 and extract , , , and for each frequency. We show the values of and in Fig. 4A. We show the AC Stark shift and nonguided decay rate in Fig. S6.
Fig. S6.
Fitted values from the averaged transmission model for TE (black circles) and TM (gray triangles) spectra. (A) Fitted AC Stark shift . (B) Fitted .
The average of the nonguided decay rate for the TE data outside the bandgap is MHz, which is significantly larger than the expected value from the FDTD simulation, MHz. This additional inhomogeneous broadening could be caused by finite temperature of the trapped atoms, vector shifts from circular light in the SI beam, atom density-dependent collisional broadening, stray magnetic fields, and electric fields from charges in the dielectric. We estimate the contributions individually and find that they likely do not explain the extraneous broadening. We note that the estimate of temperature of trapped atoms could be improved in the future (49), and it may help shed light on our excess broadening.
Interestingly, the fitted increases in the bandgap and is as high as MHz for the last measured point. One possible explanation is that this is because of the breakdown of the single bright mode approximation, because coupling to multiple collective atomic modes should result in a broadened linewidth. Another possibility is that, because there is a large extinction of the TE mode in the bandgap, there might be some mixing between the TE and TM modes.
We also measure transmission spectra for the TM mode, which have band edges that are far-detuned from the Cs transitions. The transmission in this waveguide regime is described by an optical depth (OD) model
| [S15] |
where the resonant OD is given by . We fit the TM spectra with this model and extract , , and (assuming ). The values of and are shown with the TE data in Fig. S6. The averaged value is 0.044 , which is times smaller than for the TE mode at the first resonance and clearly shows the enhanced interaction because of the PCW.
5. Simple Transmission Model.
In the text, we fit atomic transmission spectra with the averaged transmission model from Eq. S14 to extract the peak GM decay rate and frequency shift . In this section, we fit the spectra with a transmission model that involves no averaging, and we extract an effective decay rate and frequency shift , which will be smaller than the corresponding peak values because of the averaging of the Bloch function as the atoms move along the x axis of the trap. In the single bright mode approximation discussed in the text, the transmission for a single collective mode with total decay rate A and frequency shift B is given by
| [S16] |
Here, the detuning includes the AC stark shift . Because the average number of atoms is measured independently in a decay rate measurement, the collective rates A and B are related to the effective rates by and . Examples of the fitted spectra for atoms outside and inside the band gap are shown in Fig. S7. The translucent lines in Fig. S7 are the expected signals for average atom numbers of and .
Fig. S7.
Fits of transmission spectra with the model in Eq. S16 for when the atomic resonance frequency is aligned to (A) the first resonance and (B) in the bandgap. From the decay rate measurement, the average number of atoms is for the full (central) curves in A and B, while the translucent curves give the expected spectra for and atoms.
The fitted values of A and B are plotted for each detuning from the band edge in Fig. S8A. The results are qualitatively similar to the corresponding plot in Fig. 4A, except that the effective rates and are scaled down by because of the modulation of the Bloch function . The solid lines in Fig. S8A are the same theoretical curves as in Fig. 4A, except that they are scaled by .
Fig. S8.
(A) Fitted values for the effective collective decay rates A and frequency shifts B for various detunings from the band edge . The solid lines are the expected results for the peak values as in Fig. 4A, except scaled down by . (B) Ratio along with the theoretical prediction for the peak ratio from Fig. 4B.
The ratio of is plotted in Fig. S8B. Because the scale factors η cancel, the result is in good agreement with the corresponding plot of in Fig. 4B. The black theory curve in Fig. S8B is the same as in Fig. 4B. Whereas the peak decay rate and frequency shift are sensitive to the specific model, the ratio of dissipative to coherent coupling is mostly model insensitive.
6. Atom Decay Measurement.
We exploit the superradiance of atoms trapped near the alligator PCW to determine the mean atom number and the peak atom decay rate (at ) into the GMs.
As established in ref. 21, the total exponential decay rate of the atoms is , where is the -dependent superradiance decay rate, and is the observed single-atom decay rate. We note that, when , , because only the single-atom decay rates into the GM and into the environment remain; is numerically calculated to be MHz for the Cs D1 line at the trapping site near the PCW (21).
We excite the atoms with a weak resonant light pulse through the GM, whereas the first resonance near the band edge is aligned with the Cs D1 line. Pulse properties are as in ref. 21. The subsequent fluorescence decay rates are determined through exponential fits. By varying the trap holding time after loading, the mean atom numbers for the decay measurements are varied. The decay rates are empirically fitted in an exponential form as a function of holding time (21) : , as shown in Fig. S9. From the fitted asymptotic value of the decay rates, we deduce that the apparent single-atom decay rate is .
Fig. S9.
Total decay rates as a function of holding time . The red solid curve is the empirical fit, and the dash-dot line represents the fitted asymptotic total decay rate at very long times. The blue dashed lines specify fitted error boundaries. The fit yields ms, , and the asymptote .
Because the atoms are randomly distributed along the x direction in the trap, the observed decay curves are results after spatially averaging the coupling rates . Assuming a uniform distribution of N atoms around the center of the PCW, a more detailed model specifies the form of fluorescence intensity decay as (21)
| [S17] |
where , and is the modified Bessel function. Numerically simulating the decay of single atoms in the trap by using , we compare between the exponentially fitted value and the value of used for , which yields a ratio of . This ratio is consistent with the ratio of from measurement at long hold time ms, when single-atom decay predominates (shown as the asymptote in Fig. S9). Based on the values of deduced above, we conclude that .
At early holding times, the atom number N noticeably fluctuates around some mean values . To capture this -dependent variation, we fit the decay curves by averaging with weight function of Poisson distribution probability (21). The fitting parameter here is , whereas we fix the value of in Eq. S17. The fit is consistent with at ms when we carry out the transmission spectra measurement. Based on the trap lifetime ms, we further deduce that at ms.
The linear dependence of superradiance is given by , where is some linear coefficient that has a value is consistent with that reported in ref. 21.
Acknowledgments
We acknowledge the contributions of O. J. Painter and his group, including for fabrication and clean room facilities. We also acknowledge A. Burgers, C.-L. Hung, J. Laurat, M. J. Martin, A. C. McClung, J. A. Muniz, and L. Peng. Funding was provided by National Science Foundation (NSF) Grant PHY 1205729; by the Air Force Office of Scientific Research Multidisciplinary University Research Initiative (MURI) for Quantum Memories in Photon-Atomic Solid-State Systems (QuMPASS); by the Institute for Quantum Information and Matter (IQIM), NSF Physics Frontiers Center with support of the Moore Foundation; by the Office of Naval Research (ONR) Award N00014-16-1-2399; by the ONR MURI for Quantum Opto-Mechanics with Atoms and Nanostructured Diamond (QOMAND); and by the Department of Defense National Security Science and Engineering Faculty Fellowship (NSSEFF) Program. A.G. was supported by the Nakajima Foundation. A.A.-G. and M.L. were supported by the IQIM Postdoctoral Fellowship. A.A.-G. also acknowledges support from Global Marie Curie Fellowship LANTERN 655701. S.-P.Y. acknowledges support from the International Fulbright Science and Technology Award. D.E.C. acknowledges support from Fundacio Privada Cellex Barcelona, Marie Curie CIG ATOMNANO, MINECO Severo Ochoa Grant SEV-2015-0522, and ERC Starting Grant FoQAL.
Footnotes
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1603788113/-/DCSupplemental.
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