Abstract
Increasing the complexity of quantum photonic devices is essential for many optical information processing applications to reach a regime beyond what can be classically simulated, and integrated photonics has emerged as a leading platform for achieving this. Here we demonstrate threephoton quantum operation of an integrated device containing three coupled interferometers, eight spatial modes and many classical and nonclassical interferences. This represents a critical advance over previous complexities and the first onchip nonclassical interference with more than two photonic inputs. We introduce a new scheme to verify quantum behaviour, using classically characterised device elements and hierarchies of photon correlation functions. We accurately predict the device’s quantum behaviour and show operation inconsistent with both classical and biseparable quantum models. Such methods for verifying multiphoton quantum behaviour are vital for achieving increased circuit complexity. Our experiment paves the way for the next generation of integrated photonic quantum simulation and computing devices.
Introduction
Realizing quantumenhanced information processors for tasks such as simulation and computation demands experimental systems of sufficient complexity that their dynamics cannot be efficiently determined using classical processors. Reaching this regime in practice, however, remains a critical open challenge. Integrated quantum optics provides great promise for enabling photonic experiments, which are otherwise generally limited to relatively smallscale experiments, to reach this new regime of complexity. Chipbased fabrication enables sophisticated networks involving multiple interfering pathways in a compact and stable physical architecture, and pioneering work has shown the viability of this approach for the manipulation of the quantum properties of photons^{1,2,3,4,5,6,7,8,9,10}. To date, experiments have demonstrated up to threephoton higherorder terms from a single nonlinear photon source being coupled into the two input modes of a single interferometer^{11}, or alternatively, twophoton correlations in up to 21 waveguide modes^{5,12}. Building a photonic system capable of truly outperforming classical processors, however, can only be achieved by simultaneously increasing the number of modes and interference nodes in the circuit and the number of photons distributed among them. Being able to demonstrate such multiphoton interference on this scalable platform opens the way for investigations of genuinely multipartite features, as required for a broad array of quantum simulators^{13}, quantum errorcorrection^{14} and exploration of the regime beyond the classically computable^{15}.
There are two key outstanding challenges associated with this task of scaling up integrated photonic circuits to these larger systems. First, photon loss exponentially limits the complexity achievable in a quantum circuit, both in terms of the number of circuit elements and the number of photons that can be used effectively. In integrated photonics, significant losses arise from interfacing the circuit with both sources and detectors and become more pronounced with increased photon numbers^{16,17}. Ultimately, losses are fundamentally limited by the intrinsic optical properties of the medium and these clearly scale with the circuit size. Second, the monolithic nature of integrated architectures means it is also difficult to verify that the chip meets the design specification. In particular, it is not possible in general to access individual components in situ using the external input and output ports, nor is it always possible to configure ancillary access ports for injecting probe states or performing detection locally. On the other hand, existing process tomography techniques for verifying the quantum operation of a full chip^{18,19} become impracticable once it becomes sufficiently complex. Instead, other simpler ways to measure the chip’s transformation are required.
In this work, we demonstrate a critical advance in the complexity of quantumintegrated photonic devices by simultaneously increasing the number of photons and the number of spatial modes used. Using a circuit in which three photons are distributed over eight modes and three coupled interferometers^{20,21,22}, we certify quantum operation beyond both the classical limit and what can be achieved with two photons using a hierarchy of higherorder photon correlation functions. As part of this, we also provide the first onchip demonstration of a HongOuMandeltype interference effect with three individual input photons. We further show that a critical step in verifying the correct quantum operation was characterizing the operating parameters of individual circuit components, and we introduce a simple lossinsensitive method to achieve this using classical light scattered from the device in the transverse direction. In this paper, we verify threephoton interactions that achieve a complexity sufficient to realise a next generation of onchip quantum information protocols such as clusterstate generation and teleportation.
Results
How to verify quantum operation
The multiport waveguide circuit used in these experiments consists of threecoupled Mach–Zehnder interferometers spanning eight spatial modes, with phase control inside the interferometers implemented by thermooptic phase shifters (see Fig. 1 and Methods for a detailed description of the experimental apparatus). Our main aim is to show genuinely quantum operation of the circuit in a context that demonstrates its full complexity in terms of simultaneously increased number of independent input photons and number of interacting modes and interferometers. To do this, we inject individual single photon states into one mode of each of the interferometers (modes c, d and f) and measure the visibility of threephoton nonclassical interference at different combinations of output ports. If the observed visibility is stronger than that predicted when the singlephoton inputs are replaced with classical light, this acts as a witness to the desired quantum behaviour.
To calculate the predicted classical bounds, we must assume that the circuit itself operates completely coherently (unitary operation), so we first characterise the circuit using an elementwise, losstolerant approach with classical input states, in the process avoiding any need for resourceintensive quantum process tomography. We confirm the reliability of our characterisation by first observing twophoton quantum interference and comparing its behaviour with both a classical and a quantum model: the former is clearly inconsistent with the experimental results, while the latter shows good agreement. Finally, extending this method, we show that the observed threephoton interference measurements exclude with high confidence levels both the classical model, as well as quantum models involving biseparable states. The nature of the observed threephoton interferences, combined with the known topology of the circuit relative to the input photons, suggest that the results cannot be explained by using a simplified or restricted subsection of the illustrated circuit. This implies that the experiment utilises the full available complexity of the circuit.
Multiphoton integratedoptics experiments set stringent demands on performance with regard to photon loss^{16,17}. Particular care needs to be taken to optimise all experimental efficiencies, especially in experiments utilising downconversion photon sources, such as this one, to minimise higherorder noise terms^{23}. In order to demonstrate highbrightness multiphoton states ‘onchip’, we have combined a range of technical solutions for optimising the loss properties, including efficient pairsource heralding, optimal coupling of sixchannel fiber arrays to the chip and use of a lowloss integrated platform (see Methods). These measures enabled us to go beyond the stateoftheart and for the firsttime realise onchip threephoton interference allowing the exploration of interesting multipartite phenomena on an interferometrically stable and scalable platform.
Characterising circuit operation
The three coupled interferometers in our waveguide circuit, fabricated by UV directwrite technology on a silicaonsilicon substrate^{2}, involve 10 beam splitters and three thermooptic phase shifters, a circuit which has only previously been realised directly in a simplified polarisationbased encoding with bulk optics^{20,21,22}. Temperature control by means of a thermoelectric Peltier element maintained stable beam splitting ratios and phase offsets over many weeks. Individually characterising these parameters permits us to simulate the required multiphoton interference visibilities.
We measured the beam splitter reflectivities, η_{1} to η_{10}, by sending continuouswave laser light through each splitter in turn and calculating the reflectivity using a ratiometric analysis, which is independent of coupling and transmission losses^{17}. This technique uses four measurements for each beam splitter, coupling light in turn into each input port and recording the power at each output port. Because of the complex circuit topology, it is not generally possible to independently access the input and output modes, so instead, light scattered out of the chip surface was used to measure the output powers. The ratiometric calculation is insensitive to different scattering efficiencies in the same way as to different interface coupling efficiencies. Figure 2a show a typical example, with 100 mW of laser light coupled into the chip (note that splitters 4 and 7 only had one available input, as modes a and h were not accessible for coupling, see Fig. 1). The input polarization was adjusted to maximize the amount of the transverse scatter, which was imaged using a chargecoupled device with a highly linear response. Integrating over a specified region then provides the required intensity measurements (Fig. 2c).
For each Mach–Zehnder interferometer, we characterised the phase by considering the interferometer as an effective beam splitter with a reflectivity determined by the phase shift and the reflectivities of the four relevant beam splitters (see Supplementary Methods for details). This was again characterised using the ratiometric technique. Adjusting the voltage across the thermooptic element varies the effective reflectivity, as shown in Fig. 2d. Fitting these data then provide both an estimate of the zerovoltage phase of the interferometer, and an independent consistency test of the four beam splitter reflectivities, which define each interferometer. These checks agreed within the measurement uncertainty.
Demonstrating quantum operation and circuit complexity
Having characterised the individual circuit elements classically, we now investigate the operation of the circuit using quantum input light. We generated three individual input photons from two spectrally factorable downconversion pair sources, using both photons from one pair and using the other as a heralded single photon (see Fig. 1 and Methods for details). Detecting all four photons in this way to give fourfold coincidence measurements reduces the effects of noise terms.
We first study the quantum interference from twophoton inputs to confirm our classical device characterisation and our single photon indistinguishability. In these experiments, we injected photons into two of the selected input modes: cf, cd or df (corresponding to regions I, II and III in Fig. 3a). We then measured interference visibilities for all possible coincidence outcomes by varying the timing of one photon using an offchip optical delay stage (for example, Fig. 3d), and compared the observed values to the quantum (boxes) and classical (triangles) predictions (see Fig. 3a). The expected quantum visibilities were calculated directly from the quantum output state predicted by the classically characterised circuit unitary adjusted for the independently measured fidelity between photon pairs (see Supplementary Methods). The corresponding classical visibilities were calculated by replacing the input Fock states with phaseaveraged coherent states (see Methods).
A χ^{2}test verifies that these data are consistent with the quantum predictions while in strong disagreement with classical theory^{24}. The likelihood for observing a set of interference visibilities is calculated given measurement uncertainties in the observed interference visibilities and the underlying circuit parameters (see Methods). The residuals from quantum theory (Fig. 3c) give a reduced w2r χ^{2}_{r}=0.9; a value at least this large will occur with probability P(χ^{2}_{r}≥0.9)=0.5. By contrast, the residuals from classical theory (Fig. 3b) give χ^{2}_{r}=23 corresponding to P(χ^{2}_{r}≥23)<10^{−16}. Furthermore, the ultimate classical visibility limit of 1/2 is expected and observed to be exceeded by output mode combinations de, cd and dg.
The three experiments each used a different pairwise combination of the three chosen input photons, allowing the different input photons to be tested individually against each of the other two. In all three cases, the experiments are in good agreement with the expected quantum results. This suggests that our elementwise characterisation technique is a good predictor of device performance and shows that each of the threephoton quantum states has a good fidelity with the other two, a critical factor for observing genuine threephoton interference (see Supplementary Methods).
To demonstrate the complexity of the quantum circuit, we study the higherorder nonclassical interference, which arises when the three coupled interferometers are all operating simultaneously and in parallel, each injected with quantum light at the input. We observe this via the (heralded) threephoton coincidence counts (for example, Fig. 4d), with three individual input photons coupled into modes c, d and f. Again detecting the fourth photon enabled discrimination between downconversion events with one photon in each spatial mode (111_{cdf}) from equally likely unwanted noise events with two photons in each of only two input modes (022_{cdf}). After setting the temporal delay between input modes c and f to maximize their twophoton interference, we varied the delay for input mode d while simultaneously monitoring the eight threefold coincidence combinations described in Fig. 4a. We observed average fourphoton coincidence rates of around 16 mHz and measured the heralded threefolds continuously for 294 h, iterating a full scan of the temporal delays each minute. This method averages out longterm systematic effects, such as drifts in the chip coupling efficiencies and photon source performance^{25}, and allows an accurate calculation of the statistical error in the counts.
As in the twophoton experiments, the observed threephoton quantum interference visibilities agree with quantum predictions based on the individually characterised circuit elements and are completely inconsistent with the equivalent classical predictions (Fig. 4b). The quantum prediction gives χ^{2}_{r}≥1.5 with P(χ^{2}_{r}≥1.5) = 0.2, whereas the classical prediction gives χ^{2}_{r}= 6 with P(χ^{2}_{r}≥6) < 10^{−8}). Moreover, using a global optimisation routine, we determined the maximum classical interference visibility for any possible circuit parameters with this circuit topology to be 0.59 (see Supplementary Methods). This ultimate limit is exceeded by more that one s.d. by output channel combination cdf. Furthermore, a χ^{2}test shows that the circuit parameters, which result from this optimisation are strongly inconsistent with our measured values P(χ^{2}_{r}≥4.4) = 10^{−8}). Thus, only the full quantum explanation can plausibly account for the higher observed visibilities. We note that Fig. 4a includes all measured threefold coincidence combinations, including several that occur very rarely and which therefore lead to large error bars in the measured visibility. Nevertheless, including all observed data in our analysis, we can exclude classical models with extremely high confidence, despite the lowcount rates in some channels.
Finally, to verify that the observed interference results from a quantum interaction of all three photons and is not explainable via a biseparable interaction only, we also simulated the expected quantum visibilities when one of the three photons remains completely distinguishable from the other two at all temporal delays. These quantum biseparable explanations are also inconsistent with the data, predicting at most a likelihood of P<10^{−8} for the observed interference signature.
Discussion
These results demonstrate genuinely multipartite quantum operation in a nextgeneration integrated circuit that provides a critical new level of complexity in integrated quantum photonics. The measurements simultaneously accessed three coupled interferometers, with classical interference at three circuit nodes and nonclassical interference at five circuit nodes. This experiment also represents the first observation of chipbased, multipartite nonclassical interference, which relies on more than two individual photonic inputs. By moving beyond these previous twophoton, twomode experiments, our work has demonstrated the challenges lying ahead for integrated quantum photonic experiments. We have proposed viable solutions in order to reach a level of complexity necessary for the exploration of interesting multipartite effects for the first time on the integrated photonics platform.
We develop a practical method to verify successful operation of the device: a lossindependent technique to classically characterise individual circuit parameters and twophoton interference to verify device performance understood by simulations. Using a parameterised characterisation allows identification of poorly fabricated components and freedom to separately simulate individual circuit subsections, such as onchip state preparation, manipulation and measurement. Having techniques that successfully predict device performance will be critical as experimental capacities continue to improve, making this demonstration an important step forward. An alternative scheme has recently been introduced for inferring the overall unitary transformation implemented by a device from a series of classical interference experiments using only the nominal input and output ports^{26,27,28}. Although this does not give access to individual components, it may be useful for cases where only the operation of the device as a whole is of concern.
In this paper, we highlight the oftenunacknowledged fact that minimising losses will be critical for scaling up integrated circuits to the regime where they can no longer be simulated using classical processors. An array of ongoing work seeks to do so by integrating^{29,30,31,32} and synchronising^{33} quantum light sources, as well as developing highefficiency integrated detectors^{34,35}. We have shown how it is already possible to overcome losses and perform onchip experiments requiring threephoton quantum interference.
Increasing the complexity of integrated photonic devices requires not only an increased number of discrete optical modes but also complex multiphoton quantum interference across all of these modes. By moving beyond previous twophoton experiments, our work has demonstrated the challenges lying ahead for integrated quantum photonic experiments, and proposed viable solutions in order to reach a level of complexity comparable with other architectures. This work has already verified the multiphoton interference necessary for the first nontrivial tests of recently proposed boson sampling problems^{15,36,37}. It also provides the first demonstration of quantum operation of a chip, which is sufficiently complex to allow a range of advanced quantum information protocols, such as teleportation and clusterstate generation, to be realised on an integrated platform.
Methods
Device fabrication
The waveguide circuit used in this work was fabricated by use of UV directwrite technology on a silicaonsilicon substrate (See Supplementary Fig. S1 and (ref. 2)).The individual waveguides were written by focusing a continuouswave UV laser (244 nm wavelength) onto the chip, which is subsequently moved transversely to the surface normal with computerinterfaced 2D motion control. The UVwriting process enables creation of beam splitters (X couplers) by crossing waveguides at different angles^{38}. These are much smaller than traditional directional couplers, which helps to reduce the effect of propagation loss in more complex circuits. The effective beam splitter reflectivity of these X couplers is primarily governed by the intersection angle of the guides, which reduces sensitivity to wavelength, polarisation and temperature fluctuations making them extremely stable over the long experimental durations in this work. The characterised beam splitter values are presented in Supplementary Fig. S2. The thermooptic phase shifters utilise a small NiCr electrode (0.35 × 50 μm × 2.5 mm, 0.85 kOhm electrical resistance) deposited directly over one of the waveguides through which a current can be passed. The temperaturestabilised passive stability of the interferometers with the phaseshifters set to a constant voltage was measured to be <1° over 24 h.
Highbrightness multiphoton states onchip
An 80MHz Ti:sapphire oscillator (MaiTai, Spectra Physics) produces 100 fs pulses at 830 nm (2.6 W average power), which are upconverted to 700 mW of 415 nm light in a 700μm βBaB_{2}O_{4} (BBO) crystal cut for typeI secondharmonic generation. This blue light is split on a 50:50 beam splitter and used to pump two 8 mmlong ARcoated potassium dihydrogen phosphate crystals phasematched for degenerate typeII collinear parametric downconversion (See Supplementary Fig. S3). We optimise the collection optics and spatial modematching to achieve a coincidence count rate of 160 kHz on each crystal with a raw heralding efficiency of 28–30% without any filters. The source is designed to be spectrally factorable^{39}, which improves the heralding efficiency we can achieve when interference filters (Semrock, Δλ=3 nm) are used to match the bandwidths of the broad and narrowband daughter photons. With the filters in place we achieve a fourphoton coincidence rate of 20 Hz and twophoton fidelities of 0.98 (narrowbandnarrowband) and 0.92 (narrowbandbroadband)—see Supplementary Methods.
Three of the photons were coupled into polarisationmaintaining fibers and launched into the waveguide circuit using a buttcoupled polarisationmaintaining vgroove array. Index matching oil is applied between the fiber array and the chip to reduce reflection losses and a 6axis piezocontrolled alignment stage provides all the degrees of freedom necessary to achieve optimal simultaneous coupling into all six input modes. The piezodriven axes were operated in closedloop mode to maintain this coupling throughout the experiment. An identical setup is used on the output to a achieve maximal coupling from the chip into the singlephoton counting modules. A homebuilt FPGAbased logic unit records all desired coincidence counts simultaneously.
Predicted visibilities
The simulated visibilities in our interference experiments were calculated by first simulating the complete quantum output state, ψ_{out}, using the characterised circuit unitary, U_{circ} (See Supplementary Methods and Supplementary Figs S4 and S5). The intensity crosscorrelation functions at zero and infinite temporal delay were then used to find an interference visibility.
When photons are launched into modes {a_{i}} of a linear optical circuit the intensity crosscorrelation between output modes {b_{i}} at zero temporal delay is:
where the intensity operator on mode i is . Suppose the photon in mode a_{d} undergoes a temporal delay then the total output state is now a classical mixture:
The intensity crosscorrelation function at infinite delay is then,
and the visibility of the interference pattern between the nthorder output coincidence counts is then given by
The corresponding classical visibility of this interference pattern is given by injecting three equal amplitude coherent states of mutually randomised phase into modes {a_{i}}. This ensures that we mimic independent sources of light, which will have no firstorder correlation as required to compare against HongOuMandeltype quantum interference. Coherent states represent the classical state, which have the highest interference visibility, ensuring the bound we calculate is an upper limit. The resulting output vector of complex amplitudes is:
where e_{out} is the vector of timeindependent electric fields in each of the output modes and similarly for e_{in}. The phaseaveraged intensity crosscorrelation function is then
The classical crosscorrelation function at infinite delay is calculated in a similar manner, taking incoherent sums between the delayed and nondelayed photons,
From which we calculate the classical interference visibility,
χ^{2}test
To estimate the likelihood of observing a particular set of m interference visibilities v, we construct the probability density function
where w_{i}(α) is the calculated ith visibility based on the set on n circuit parameters α, σ_{i} is the measurement s.d. in the observed visibility v_{i}, and s_{i} is the measurement s.d. of the characterised circuit parameter α_{i}. We approximate each w_{i}(α) to be linear in α,
which we verify to be accurate to within 0.02 over the range ±2s_{j}. The resulting multidimensional Gaussian integral yields an analytic solution with an exponent quadratic in visibility residuals. We analyse our data in a basis so that f(x) is factorable:
The visibilities x are thus statistically independent and a typical χ^{2}test, , can be applied. If we instead errantly assume that the uncertainties in our simulated visibilities are uncorrelated, we calculate a χ^{2} ~0.3 lower than that reported for the quantum analysis of our experiments.
Additional information
How to cite this article: Metcalf, B.J. et al. Multiphoton quantum interference in a multiport integrated photonic device. Nat. Commun. 4:1356 doi: 10.1038/ncomms2349 (2013).
References
 1.
Politi A., Cryan M. J., Rarity J. G., Yu S. & O’Brien J. L. Silicaonsilicon waveguide quantum circuits. Science 320, 646–649 (2008).
 2.
Smith B. J., Kundys D., ThomasPeter N., Smith P. G. R. & Walmsley I. A. Phasecontrolled integrated photonic quantum circuits. Opt. Express 17, 13516–13525 (2009).
 3.
Matthews J., Politi A., Stefanov A. & O’Brien J. L. Manipulation of multiphoton entanglement in waveguide quantum circuits. Nat. Photon 3, 346–350 (2009).
 4.
Politi A., Matthews J. & O’Brien J. L. Shor’s quantum factoring algorithm on a photonic chip. Science 325, 1221 (2009).
 5.
Peruzzo A. et al. Quantum walks of correlated photons. Science 329, 1500–1503 (2010).
 6.
Marshall G. et al. Laser written waveguide photonic quantum circuits. Opt. Express 17, 12546–12554 (2009).
 7.
Sansoni L. et al. Polarization Entangled State Measurement on a Chip. Phys. Rev. Lett. 20, 200503 (2010).
 8.
Sansoni L. et al. Twoparticle bosonicfermionic quantum walk via integrated photonics. Phys. Rev. Lett. 108, 010502 (2012).
 9.
Crespi A. et al. Integrated photonic quantum gates for polarization qubits. Nat. Commun. 2, 566 (2011).
 10.
Shadbolt P. J. et al. Generating, manipulating and measuring entanglement and mixture with a reconfigurable photonic circuit. Nat. Photon 6, 45–49 (2011).
 11.
Matthews J., Politi A., Bonneau D., O’Brien J. L. Heralding TwoPhoton and FourPhoton Path Entanglement on a Chip. Phys. Rev. Lett. 107, 163602 (2011).
 12.
Owens J. O. et al. Twophoton quantum walks in an elliptical directwrite waveguide array. New J. Phys. 13, 075003 (2011).
 13.
AspuruGuzik A. & Walther P. Photonic quantum simulators. Nat. Phys. 8, 285–291 (2012).
 14.
Reed M. D. et al. Realization of threequbit quantum error correction with superconducting circuits. Nature 482, 382–385 (2012).
 15.
Aaronson S. & Arkhipov A. The computational complexity of linear optics. In Proceedings of the 43rd annual Symposium on Theory of Computing STOC 333–342 ACM: New York, USA, (2011).
 16.
ThomasPeter N. L., Smith B. J., Dorner U. & Walmsley I. A. Realworld Quantum Sensors: Evaluating Resources for Precision Measurement. Phys. Rev. Lett. 107, 113603 (2011).
 17.
ThomasPeter N. et al. Integrated Photonic Sensing. New J. Phys. 13, 055024 (2011).
 18.
O’Brien J. L. et al. Quantum process tomography of a controllednot gate. Phys. Rev. Lett. 93, 080502 (2004).
 19.
Shabani A. et al. Efficient measurement of quantum dynamics via compressive sensing. Phys. Rev. Lett. 106, 100401 (2011).
 20.
Ralph T. Scaling of multiple postselected quantum gates in optics. Phys. Rev. A 70, 012312 (2004).
 21.
Lanyon B. P. et al. Experimental demonstration of a compiled version of Shor’s algorithm with quantum entanglement. Phys. Rev. Lett. 99, 250505 (2007).
 22.
Lu C. Y., Browne D. E., Yang T. & Pan J.W. Demonstration of a compiled version of Shor’s quantum factoring algorithm using photonic qubits. Phys. Rev. Lett. 99, 250504 (2007).
 23.
Barbieri M. et al. Parametric downconversion and optical quantum gates: two’s company, four’s a crowd. J. Mod. Optics 56, 209–214 (2009).
 24.
Ghosh R. & Mandel L. Observation of nonclassical effects in the interference of two photons. Phys. Rev. Lett. 59, 1903–1905 (1987).
 25.
Lanyon B. P. & Langford N. K. Experimentally generating and tuning robust entanglement between photonic qubits. New J. Phys. 11, 013008 (2009).
 26.
RahimiKeshari S. et al. Robust characterisation of any linear photonic device. Preprint at http://arxiv.org/abs/1210.6463 (2012).
 27.
Laing A. & O’Brien J. L. Superstable tomography of any linear optical device Preprint at http://arxiv.org/abs/1208.2868 (2012).
 28.
Meany T. et al. Nonclassical interference in integrated 3D multiports. Opt. Express 20, 26895–26905 (2012).
 29.
Xiong C. et al. Generation of correlated photon pairs in a chalcogenide As2S3 waveguide. App. Phys. Lett. 98, 051101 (2011).
 30.
Martin A. et al. A polarization entangled photonpair source based on a typeII PPLN waveguide emitting at a telecom wavelength. New J. Phys. 12, 103005 (2010).
 31.
Eckstein A., Christ A., Mosley P. J. & Silberhorn C. Highly efficient singlepass source of pulsed singlemode twin beams of light. Phys. Rev. Lett. 106, 013603 (2011).
 32.
Martin A., Alibart O., Micheli M. P. D., Ostrowsky D. B. & Tanzilli S. A quantum relay chip based on telecommunication integrated optics technology. New J. Phys. 14, 025002 (2012).
 33.
Nunn J. et al. Enhancing multiphoton rates with quantum memories Preprint at http://arxiv.org/abs/1208.1534 (2012).
 34.
Gerrits T. et al. Onchip, photonnumberresolving, telecommunicationband detectors for scalable photonic information processing. Phys. Rev. A 84, 060301(R) (2011).
 35.
Sprengers J. P. et al. Waveguide superconducting singlephoton detectors for integrated quantum photonic circuits. App. Phys. Lett. 99, 181110 (2011).
 36.
Aaronson S. A linearoptical proof that the permanent is # Phard. Proc. R. Soc. A 467, 3393–3405 (2011).
 37.
Rohde P. & Ralph T. Error tolerance of the bosonsampling model for linear optics quantum computing. Phys. Rev. A 85, 022332 (2012).
 38.
Kundys D. O., Gates J. C., Dasgupta S., Gawith C. & Smith P. G. R. Use of crosscouplers to decrease size of UV written photonic circuits. Photon. Technol. Lett. IEEE 21, 947–949 (2009).
 39.
Mosley P. J. et al. Heralded generation of ultrafast single photons in pure quantum states. Phys. Rev. Lett. 100, 133601 (2008).
Acknowledgements
This work was supported by the EPSRC (EP/C51933/01, EP/J008052/1 and EP/C013956/1), the EC project QESSENCE (248095), the Royal Society, the AFOSR EOARD, The Australian Research Council’s Federation Fellow program (FF0668810), Centre for Engineered Quantum Systems (CE110001013) and the Centre for Quantum Computation and Communication Technology (CE110001027). J.B.S. acknowledges support from the United States Air Force Institute of Technology. X.M.J. and N.K.L. are supported by EC Marie Curie Fellowships (PIIFGA2011300820 and PIEFGA2010275103). M.B. is supported by a FASTQUAST ITN Marie Curie fellowship.
Author information
Author notes
 Benjamin J. Metcalf
 & Nicholas ThomasPeter
These authors contributed equally to this work
Affiliations
Clarendon Laboratory, Department of Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK
 Benjamin J. Metcalf
 , Nicholas ThomasPeter
 , Justin B. Spring
 , Peter C. Humphreys
 , XianMin Jin
 , Marco Barbieri
 , W. Steven Kolthammer
 , Brian J. Smith
 & Ian A. Walmsley
Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, UK
 Dmytro Kundys
 , James C. Gates
 & Peter G.R. Smith
Centre for Engineered Quantum Systems and Centre for Quantum Computer and Communication Technology, School of Mathematics and Physics, University of Queensland, 4072 Brisbane, Queensland, Australia
 Matthew A. Broome
Department of Physics, Shanghai Jiao Tong University, Shanghai 200240, PR China
 XianMin Jin
Department of Physics, Royal Holloway, University of London, London TW20 0EX, UK
 Nathan K. Langford
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Contributions
N.T.P., B.J.M., J.B.S., N.K.L. and I.A.W. all contributed to designing and setting up the experiment. B.J.M. and N.T.P. performed the experiment. J.B.S. designed the FPGA electronics and helped with data taking. D.K. and J.C.G. fabricated the waveguide device. M.A.B., B.J.M, N.T.P. and J.B.S. contributed to building the singlephoton source. X.M.J., W.S.K., M.B., P.H., N.K.L., J.B.S., B.J.M. and N.T.P. all contributed to the analysis of the data. All authors contributed to writing the manuscript. B.J.S, P.G.R.S and I.A.W. conceived the work.
Competing interests
The authors declare no competing financial interests.
Corresponding author
Correspondence to Benjamin J. Metcalf.
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