Abstract
Broadband quantum memories, used as temporal multiplexers, are a key component in photonic quantum information processing, as they make repeat-until-success strategies scalable. We demonstrate a prototype system, operating on-demand, by interfacing a warm vapour, high time-bandwidth-product Raman memory with a travelling wave spontaneous parametric down-conversion source. We store single photons and observe a clear influence of the input photon statistics on the retrieved light, which we find currently to be limited by noise. We develop a theoretical model that identifies four-wave mixing as the sole important noise source and point towards practical solutions for noise-free operation.
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1. Introduction
Photonics is a promising platform for quantum technologies [1]. However, photon sources [2] and two-photon gates [3] currently only operate probabilistically. Large-scale photonic processing will therefore be prohibitively inefficient without a multiplexing strategy to actively select successful events. For this reason, spatial [4, 5], spectral [6] and temporal [7, 8] multiplexing are being investigated. For temporal multiplexing, quantum memories, which are capable to store and retrieve single photons on-demand, are an efficient solution. In particular, on-demand recall of the stored light can be used to temporally synchronize different outputs of heralded probabilistic events. Such temporal multiplexing enables scalable photonic architectures using repeat-until-success strategies [8–10]. A key figure of merit for this task is the time-bandwidth-product , where τ is the memory lifetime and δ is the memory acceptance bandwidth. B corresponds to the maximum number of possible processor steps that can occur within the memory lifetime. Dramatic enhancements in the scaling of photonic networks become possible with [8]. The very long storage times [11–13] and large time-bandwidth products [14, 15] obtainable by optical storage in atoms make these systems prime candidates for temporal synchronization devices. Notably, besides atomic systems, broadband signal storage has also been achieved in solid-state systems. Examples for these are off-resonant Raman storage [8] in diamond [16, 17] and in cryogenic rare-earth ion doped crystals [18], using atomic-frequency-comb (AFC) echoes with preprogrammed storage times. The recently demonstrated spin-wave storage in AFC [19–22] could also offer a route to temporal multiplexing.
The first step towards memory-based synchronization of single-photon generation is the storage of single photons. This has been demonstrated by spin-wave storage in cold atomic ensembles [23–26], single atoms [27, 28], and by pre-programmed AFC echoes in cryogenic rare-earth ion doped crystals [18, 29–31]. Storage [32, 33] and retrieval [34] of non-classical light in the room-temperature regime has been achieved with narrow bandwidths on the order of a few MHz. However, a quantum memory suitable for large-scale temporal multiplexing is still elusive. Key desiderata are broad acceptance bandwidths, on-demand storage and retrieval, as well as room-temperature operation with low noise. The ability to store multiple temporal modes in a single device [35, 36] is also appealing, if multiple memories could not be operated in parallel [37]. Notably, when we mention temporal multiplexing in this work we refer to temporal synchronization using a single-mode memory [8], not time-mode-multiplexing within a multimode memory; see supplementary material (stacks.iop.org/njp/17/043006/mmedia) for a more detailed discussion.
In this paper we report the storage of GHz-bandwidth heralded single photons, generated by spontaneous parametric down-conversion (SPDC), in a warm caesium (Cs) vapour Raman memory, for which [14, 38]. On-demand memory operation, which is crucial for synchronization tasks, is implemented by triggering the memory on the detection of a herald photon. The performance of our system is characterized by measuring the autocorrelation of the fields transmitted through, and retrieved from the memory. We present a simple theoretical model which describes the system dynamics and identify four-wave mixing (FWM) as the sole significant noise source. Suppressing this noise process will make it possible to use the presented technology to construct large-scale photonic networks.
2. Experimental setup
Our memory is based on transient Raman absorption in a Cs vapour cell at [14, 38, 40–42] (figure 1 and appendix
3. Mean field measurements
The memory efficiency and noise are determined by measuring the arrival time histograms of signal photons transmitted through and retrieved from the memory. As shown in figure 2, the performance is similar for both signal types, with a total memory efficiency of 29% for coherent states and 21% for heralded single photons, limited by the control pulse energy, mode-matching between signal and control, and optical pumping (see supplementary material (stacks.iop.org/njp/17/043006/mmedia)). In addition to the signal, there is noise present in the read-in and the read-out time bins. It is visible as a pulse emitted from the memory when only the control field is applied. These noise pulses contain on average photons per read-in and photons per read-out control cycle. The noise originates from FWM, which is a two-step process: first, the control generates spurious spin-wave excitations by spontaneous anti-Stokes scattering (figure 1(f), appendix
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Standard image High-resolution image4. Photon statistics measurements
We characterize these effects by measuring the autocorrelation of all field combinations shown in figure 2 for both time bins. From the detector count statistics, the normalized autocorrelation [44], conditional on herald detection, is given by (see supplementary material available at stacks.iop.org/njp/17/043006/mmedia). Here, is the probability that the heralding detector () and one of the signal detectors ( or ) detect a photon in coincidence. is the probability for a coincidence event between all three detectors (, and ). Blocking the control, we measure for coherent-state inputs (average over all input photon numbers ) and for heralded single photons, which are close to the ideal values of 1 and 0. When the input signal is blocked, we measure and for the noise in the input and output time bins, respectively. With normal memory operation, i.e. signal and control applied, the photon statistics are modified by the accompanying FWM process. The of the transmitted and retrieved signals increase, yielding the results displayed in figure 3. In the input time bin, transmitted coherent-state signals converge towards the ideal for larger input photon numbers of , as the amount of signal increases compared to the fixed amount of noise. Heralded single photons show , slightly below the classicality boundary. Looking at the memory read-out (figure 3(b)), we find that coherent states with an input photon number of have and are thus indistinguishable from the noise. Importantly, heralded single photons however show . This is a drop in by more than three standard deviations compared to coherent states and noise (see supplementary material available at stacks.iop.org/njp/17/043006/mmedia). The lower for heralded single photons reveals the influence of the non-classical SPDC input photon statistics in the memory read-out.
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Standard image High-resolution imageTo investigate the observed photon statistics we compare two models: first a model based on incoherent addition of signal and noise [46]. It treats both as independent fields with different values, whose mixing ratio is determined by the SNR (see appendix
Luckily, FWM is not intrinsic to the memory interaction. The correlation between Stokes and anti-Stokes emission in FWM allows one to reduce Stokes noise by suppressing the anti-Stokes scattering. This enables noise reduction, while leaving the Raman memory unaffected. In principle, FWM can be suppressed by terminating the control field coupling to the initial atomic ground state via polarization selection rules. Yet, this approach is ineffective in alkali vapours far from resonance [47]. As FWM has phase-matching constraints similar to SPDC [48], an alternative could be to introduce dispersion between the Stokes and anti-Stokes frequencies, or to use a storage medium with larger Stokes shifts [17]. For alkali vapours, the approach of choice is to reduce the density of states at the anti-Stokes frequency by placing the memory inside a low-finesse cavity or photonic-bandgap structure [42]. As shown in figure 3(g), a FWM suppression by a factor of ∼2.5, readily achievable with the aforementioned techniques, would preserve the nonclassical signature of retrieved heralded single photons (see also appendix
5. Conclusion
In conclusion, we have, for the first time, interfaced sub-ns heralded single-photons with a warm atomic vapour memory in a practical configuration suitable for temporal multiplexing; a key goal for photonics quantum information science. Using this new device we have investigated the storage and retrieval of broadband heralded single photons in the memory. We have demonstrated that FWM is the only, ultimately important, noise source in EIT- and Raman-type memories. Its influence on the photon statistics is more severe than naively expected, but possible to mitigate.
Acknowledgments
We thank A Lvovsky, E Poem and C Kupchak for helpful discussions on FWM in Raman systems. We acknowledge Nathan Langford for early contributions to the design of the source, Michał Karpiński for assistance with the source optimization. We thank Justin Spring for assistance with the FPGA. This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC; EP/J000051/1 and Programme Grant EP/K034480/1), the Quantum Interfaces, Sensors, and Communication based on Entanglement Integrating Project (EU IP Q-ESSENCE; 248095), the Air Force Office of Scientific Research: European Office of Aerospace Research & Development (AFOSR EOARD; FA8655-09-1-3020), EU IP SIQS (600645), the Royal Society (to J.N.), EU ITN FASTQUAST (to P.S.M.), and EU Marie-Curie Fellowships (PIIF-GA- 2011-300820 to X.-M.J.; PIEF-GA-2012-331859 to W.S.K.; PIIF-GA-2013-629229 to D.J.S.). I.A.W. acknowledges an ERC Advanced Grant (MOQUACINO).
Appendix A.: The Raman memory protocol
As shown in figures 1 (a) and (e) of the main text, storage of a signal field, which is blue-detuned by GHz from the Cs -line, is triggered by a co-propagating, orthogonally polarized control pulse tuned into two-photon resonance with the ground-state hyperfine transition ( hyperfine ground state splitting). Signal storage transfers Cs atoms, initially prepared in the hyperfine ground state () by optical pumping with a counter-propagating resonant diode laser, to the hyperfine ground state (), exciting a spin-wave coherence between both states [38–40]. Re-application of the control field drives the reverse process, producing a read-out signal and returning the atoms to .
Appendix B.: Modelling the autocorrelation measurements
B.1. Coherent model
Figure 3 in the main text shows our measurements of the field autocorrelations alongside the predictions of a theoretical model that includes the effects of FWM seeded by spontaneous anti-Stokes scattering. The agreement is extremely good, which suggests that FWM is the only significant source of noise in the memory. Here we briefly outline the theoretical model, which is based on [14, 17], and is in fact identical to [49]. We consider one-dimensional propagation along the z-axis, normalized so that z runs from 0 to 1, of Stokes (signal) and anti-Stokes fields S, A through an ensemble of three-level Λ-type atoms (see figures 1 (e), (f)) in the presence of a control pulse with time-dependent Rabi frequency , where is the local time, at time t, in a frame propagating with the pulse at velocity c. After adiabatic elimination of the excited state [50, 51], the Maxwell–Bloch equations describing the Raman interaction of the fields with the ground state coherence are given by
where is the annihilation operator for spin wave excitations with wavevector , with the Stokes, anti-Stokes wavevectors. The effective time , with α such that , parameterizes the adiabatic following of the control pulse [40]. With this coordinate transformation, the dynamic Stark shift is , where is the anti-Stokes detuning (figure 1 (e)). The dimensionless coupling constant C is given by , where d is the resonant optical depth and γ the homogeneous linewidth of the excited state [38, 51]. C' is identical to C, except that Δ is replaced by . Both are inversely proportional to the respective detuning of the channel they couple to (Stokes or anti-Stokes). corresponds to a vanishing anti-Stokes coupling which represents the noiseless case [40]. The population inversion is , where and are the initial occupation probabilities of the ground states , , respectively. Finally, we have defined the FWM phase mismatch , where is the wavevector of the control with frequency We also have , and . Here the length L of the cell appears, to account for the normalization of the z-coordinate. These expressions are simply derived by considering the refractive index for each field, due to off-resonant interaction with the atomic transitions. Note that on Raman resonance we have and . Our experiments were done with a 7.5 cm Cs cell held at 70 °C, giving a resonant optical depth . We focus 10 nJ control pulses with duration ps into the cell with a waist ∼300 μm, giving a peak Rabi frequency GHz, so that ns. We operate blue-detuned from resonance with the D2 line, whereby the detuning is GHz and the Stokes shift in Cs is GHz. Finally, the homogeneous linewidth is MHz, so that we have C = 0.82. When the memory is operated normally, the atoms are optically pumped into the ground state , and we set (w = 1). For the case where the optical pumping beam is blocked, the atoms thermalize and we set (w = 0).
The system of coupled partial differential operator equations (B.1) is linear, and the solutions can therefore be written as a linear mapping from initial input to final output fields via the system's Green's functions Gjk. For example, the signal field transmitted through the memory during the storage interaction is
where 'vac' and 'therm' denote initial vacuum and thermal states for the anti-Stokes and spin-wave fields. The signal field retrieved from the memory after a storage time T is given by a similar expression,
where to a good approximation in our experiment we may neglect decoherence and set , since T = 12.5 ns, while the memory lifetime is μs [14]. Here, the spin-wave at the end of the storage interaction is given by
The autocorrelation for a short-pulsed time-dependent field measured by slow detectors is given by
where the label 'x' is either 'ret' or 'trans'. Since the initial field operators satisfy bosonic commutation relations (or in the case of , boson-like) and their expectation values on the initial state of the atomic-optical system are known, the expectation values of normally ordered products of the output field operators can be computed from products of the Green's functions [14, 49], enabling the calculation of the . The Green's functions can be found analytically [49], although for convenience we use a previously-developed numerical code. Full details will be given elsewhere. However here we note that the predicted by this calculation depends on the statistics of the input field, and on its brightness, through taking expectation values involving the field operator Sin in equation (B.2).
B.2. Monte-Carlo error propagation
We use a Monte-Carlo approach to generate the shaded error regions around the theoretical predictions plotted in figure 3 in the main text, and in figure B1 above. We computed the theory predictions 1000 times, with each input parameter drawn from a Gaussian distribution with a standard deviation set by its experimental uncertainty. For each value of Nin, the standard deviations of the predictions are then used to set the vertical width of the error regions in the plots. The errors δ on the various input parameters are estimated as follows: , MHz, MHz, ps and MHz.
B.3. Effect of reduced anti-Stokes scattering
The undesired effects of FWM can be reduced by suppressing the strength of anti-Stokes scattering. To explore this theoretically, we consider the storage and retrieval of single photons with a range of values for the ratio of coupling strengths . As shown in figure 3(g), suppressing the anti-Stokes coupling by a factor of 2.5 is sufficient to observe non-classical statistics in the memory output time bin. If a suppression of 30 could be achieved, the output statistics would be as non-classical as those of the input, i.e. the noise would be dominated by the source, rather than the memory.
B.4. Incoherent model
We alternatively model the combined photon statistics as a superposition between FWM noise and the input signal , whereby both fields are imagined to be combined on a beam-splitter. The expected value for is derived following the argumentation presented in [46], yielding
It depends on the number of signal photons, Nsig, and noise photons, Nnoise, per pulse contributing to the mixture. If the memory is on, Nsig represents the transmitted fraction of the signal, , in the read-in time bin and the retrieved fraction of the signal, , in the read-out time bin. Nin is the respective input photon number, is the memory read-in efficiency and is the total memory efficiency (storage and retrieval). Figure B1 shows the results of equation (B.4) alongside the experimental data and the coherent -model predictions. Clearly the incoherent model predictions significantly underestimate the measured data in all three cases.
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Standard image High-resolution imageNotably, if the photon statistics for the input signal during memory storage was not conserved, it would not be justified to use the input signal's in equation (B.4) for calculating of the memory output. Instead, a modified would be required, which is not directly accessible experimentally. This potential flaw is circumvented by also measuring with the optical pumping switched off (figures 3(c) and B1(c)). Since there is no Raman storage, no modification of occurs. Moreover, Nsig corresponds directly to the input photon number , without additional memory efficiency factors. Yet, equation(B.4) also fails to describe this situation, despite the fact that all variables are known by direct measurement. Hence we can reject this model and its associated implication. Consequently, both light fields cannot be considered as individual entities; i.e. describing the system requires to take the full dynamics between the Cs atoms and the input light fields into account.