Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Quantum simulations with multiphoton Fock states


Quantum simulations are becoming an essential tool for studying complex phenomena, e.g. quantum topology, quantum information transfer and relativistic wave equations, beyond the limitations of analytical computations and experimental observations. To date, the primary resources used in proof-of-principle experiments are collections of qubits, coherent states or multiple single-particle Fock states. Here we show a quantum simulation performed using genuine higher-order Fock states, with two or more indistinguishable particles occupying the same bosonic mode. This was implemented by interfering pairs of Fock states with up to five photons on an interferometer, and measuring the output states with photon-number-resolving detectors. Already this resource-efficient demonstration reveals topological matter, simulates non-linear systems and elucidates a perfect quantum transfer mechanism which can be used to transport Majorana fermions.


Quantum simulations boost the development of topological materials1, quantum transport2 and quantum algorithms3 for the benefit of low-power electronics4, spintronics5 and quantum computing6. They employ intricate quantum interference of light or matter particles. This is a challenging task: the difficulty arises from the fundamental constraint that all interfering quanta must be indistinguishable7. Violating this demand precludes the observation of such coherent phenomena in larger scales, in terms of particle number and duration.

So far, protocols have mainly relied on the use of three distinct quantum states: numerous qubits implemented by superconducting circuits8 and electronic states of trapped ions9,10; coherent states of photons11 and atoms (Bose–Einstein condensates)12; and multiple single-particle Fock (number) states distributed among many modes in photonic waveguides13,14,15,16,17,18 and optical lattices19. Thus, simulations have never seriously profited from interference of multi-particle Fock states, even though the importance of this regime has been recognised20, and the first attempt to mimic it with many-body systems was made21.

Here we experimentally and theoretically demonstrate that multiphoton Fock state interference can be useful for quantum simulations that address applications of high impact. We employ a single multiport interferometer with a tunable parameter that encodes time to reach a late state of evolution. This approach allows us to avoid error accumulation that is typical for methods that build on numerous quantum gates or steps of a quantum algorithm22,23,24,25,26,27. This is a counterpart of a hardware-encoded operation in classical computation, where a single binary instruction realizes a complex algorithm consisting of several primitive steps in one tick of a system clock. Remarkably, utilisation of photon-number detection in our setup grants us access to a hidden non-linearity induced by a projective measurement, a technique that enables universal quantum computation with linear optics28,29.

As a concrete example, we consider a quantum gate architecture that consists of a single beam splitter; however, this approach can be generalised to more complex interferometric networks. Our idea, shown in Fig. 1a–c, is based on overlapping two multiphoton Fock states, \({\left|l\right\rangle }_{a}\) and \({\left|S-l\right\rangle }_{b}\) (l photons in mode a and S − l in mode b), on a beam splitter with tunable reflectivity r which programmes the simulation duration. We then collect photon statistics at its outputs.

Fig. 1: Photonic quantum simulations with Fock state interference.
figure 1

a Fock states \({\left|l\right\rangle }_{a}{\left|S-l\right\rangle }_{b}\) encode the (l + 1)th spin excitation in a \(\frac{1}{2}\)-spin chain with S + 1 sites. b A beam splitter with reflectivity r models an XY-type of interaction in the chain that lasts \(2\arcsin \sqrt{r}\). c The likelihood of detecting k and S − k photons in its output ports p(k), simulates the excitation probability of the kth spin in the chain as a result of the interaction. d The statistics p(k) originates from fundamental indistinguishability of several scenarios that occur to interfering Fock states which classically are exclusive but quantum-mechanically are coexisting, and amount to the same partitioning of incoming photons into two exit ports. Events for which quantum probability amplitudes add up non-destructively are registered more often than others.

The scope of our example embraces a chain of S + 1 two-level spins that initially contains just one spin excited, and that is subjected to an XY interaction. The excitation probabilities at its sites after the interaction duration are determined by the output photon statistics. These mappings are based on a solid mathematical grounding known as the Schwinger representation which links quantum harmonic oscillators with representations of spin Lie algebra su(2). See Supplementary Note 1 for details.

Our platform also allows us to simulate certain classes of fermionic systems, e.g. a non-linear Su–Schrieffer–Heeger (SSH) model30, obtained from the XY spin chain by a Jordan–Wigner transformation31. Furthermore, we can map to Bogoliubov–de Gennes Hamiltonians, simulating many-body systems beyond the single-excitation subspace, e.g. a p-wave superconducting chain (Kitaev model)32, and the transverse-field Ising model9.

Due to recent advances in photon-number-resolved detection, we were able to employ transition-edge sensors (TESs)33 to count photons exiting the beam splitter. Amazingly, TES measurements correspond to single-site-resolved detection in the chain. The use of TESs is crucial, as Fock state quantum interference is evidenced by photon bunching. For example, two identical photons impinging on a balanced beam splitter leave in a superposition of two-photon Fock states, with both always being detected in the same output port. This is known as the Hong–Ou–Mandel (HOM) effect34 whose generalised form can be observed for higher-order Fock states if they are prepared in similar polarisation, spectral and spatio-temporal modes35, as shown in Fig. 1d.


Fock state quantum simulations

The Fock state quantum simulations build on a beam-splitter interaction \({U}_{\,\text{BS}\,}^{(r)}\,=\,{e}^{-i\theta (r){H}_{\text{BS}}}\), guided by the Hamiltonian

$${H}_{\text{BS}}=\frac{1}{2}({a}^{\dagger }b+a{b}^{\dagger }),$$

where a and b denote photonic creation operators that act on the interferometer input modes. The reflectivity r, defined as the probability of reflection of a single photon, encodes the interaction time \(\theta (r)=2\arcsin \sqrt{r}\). For entries \({\left|l\right\rangle }_{a}\) and \({\left|S-l\right\rangle }_{b}\), the computational output from the beam splitter and detectors is36

$$p(k)={|\langle k,S-k|{U}_{{\rm{BS}}}^{(r)}|l,S-l\rangle |}^{2}={|{\phi }_{k}^{(r)}(l-Sr,S)|}^{2},$$

where \({\phi }_{k}^{(r)}(x,S)\) is the Kravchuk function37.

We selected three distinct examples of simulations, shown in Fig. 2, for experimental demonstration. The first a, uses input data initialised to \({\left|\frac{S}{2}\right\rangle }_{a}{\left|\frac{S}{2}\right\rangle }_{b}\) and the setting of r = 0.5. For the second and third b & c, we set \({\left|0\right\rangle }_{a}{\left|S\right\rangle }_{b}\) and repeated the computation several times while gradually increasing r. While for the second programme one can use any value of S, the third one runs exclusively for an odd number of photons.

Fig. 2: Encoding the outcomes of quantum simulations in photon statistics.
figure 2

We repeatedly overlap two Fock states on a beam splitter of reflectivity r to collect the photon statistics in its exit ports, p(k). They directly provide the results of computation carried out by quantum interference. a The first programme uses \({\left|\frac{S}{2}\right\rangle }_{a}{\left|\frac{S}{2}\right\rangle }_{b}\) and r = 0.5, revealing weakly localised edge states with a non-decaying envelope (black line), which closely resemble topological states in a non-linear SSH model. b The second programme is run for \({\left|0\right\rangle }_{a}{\left|S\right\rangle }_{b}\) and several values of r, demonstrating that perfect quantum wave packet transfer in a linear register results from mirror reflection of the input state w.r.t. the register centre. c For an odd S, this programme additionally simulates the perfect transfer of Majorana fermions an and bn in a p-wave superconductor over \(\frac{S+1}{2}\) atomic sites. The bars located at even k (light green, blue, and red) correspond to the mode an with n = k/2 + 1, while those located at odd k (dark green, blue, and red) to the mode bn with n = (k + 1)/2.

Edge states in non-linear systems

Interpretation of the outcomes of our quantum programmes becomes straightforward if we consider matrix representations of HBS and of the Hamiltonian describing a general chiral XY \(\frac{1}{2}\)-spin chain \({H}_{\text{XY}}=\mathop{\sum }\nolimits_{n = 1}^{S+1}\frac{{J}_{n}}{2}\ ({\sigma }_{n}^{x}{\sigma }_{n+1}^{x}+{\sigma }_{n}^{y}{\sigma }_{n+1}^{y})\), where \({\sigma }_{n}^{x}\) and \({\sigma }_{n}^{y}\) are the Pauli operators acting on the nth spin. In the single excitation subspace spanned by the states \(\left|n\right\rangle ={\sigma }_{n}^{+}\left|{\downarrow }_{1},\ldots ,{\downarrow }_{S+1}\right\rangle\), where \({\sigma }_{n}^{+}=(1/2)\left({\sigma }_{n}^{x}+i{\sigma }_{n}^{y}\right)\) is the raising operator, the latter has matrix elements \({\left[{{\bf{H}}}_{\text{XY}}\right]}_{mn}^{\text{Spin}\,}=\left\langle m| {H}_{\text{XY}}| n\right\rangle ={J}_{n-1}{\delta }_{n,m+1}+{J}_{m-1}{\delta }_{m,n+1}\), where δi,j denotes the Kronecker delta. The elements of HBS in the Fock state basis are given by \({\left[{{\bf{H}}}_{\text{BS}}\right]}_{nm}^{\text{Fock}\,}=\left\langle n,S-n| {H}_{\text{BS}}| m,S-m\right\rangle\). The two representations are identical, \({\left[{{\bf{H}}}_{\text{BS}}\right]}_{nm}^{\text{Fock}\,}={\left[{{\bf{H}}}_{\text{XY}}\right]}_{nm}^{\text{Spin}\,}\), when we set the spin couplings to \({J}_{n}=\frac{1}{2}\sqrt{n(S+1-n)}\). As these amplitudes are non-periodic, this chain lacks translational invariance. This precludes the usual Fourier space methods used for characterising topological insulators. Remarkably, photon statistics measured behind the beam splitter is capable of simulating this non-crystalline system. The existence of topologically non-trivial states is indicated here by the fact that the Hamiltonian belongs to the chiral orthogonal (BDI) class of Altland–Zirnbauer symmetry classes, characterised by a \({\mathbb{Z}}\) topological invariant. Our first programme performs a real-space study of this system and computes probabilities that describe its zero-energy eigenmode, \(\left|{{{\Psi }}}_{0}\right\rangle =\mathop{\sum }\nolimits_{k = 0}^{S}{e}^{-i\frac{\pi }{2}(S/2-k)}\ {\phi }_{k}^{(1/2)}(0,S)\ {\sigma }_{k+1}^{+}\left|{\downarrow }_{1},\ldots ,{\downarrow }_{S+1}\right\rangle\). Unlike the typical edge states which are exponentially peaked at the ends of a quantum wire, these two edge states are weakly localised and plateau to a constant value in the bulk, given by \(\frac{4}{\pi S\sqrt{1-{(2k/S-1)}^{2}}}\), as outlined in Fig. 2a. The intensity-dependent amplitudes Jn render HXY a generalisation of the seminal Su–Schrieffer–Heeger (SSH) model30 to the non-linear regime38. See Supplementary Notes 2 and 3 for details.

Perfect state transfer

The XY spin chain with these couplings has been extensively studied in the literature due to its remarkable property of facilitating the perfect transfer of an arbitrary quantum state16,17,39,40. Our quantum simulation provides an insight into this system from which the perfect transfer becomes self-evident. The equivalence of HBS and HXY matrix representations implies the correspondence between interactions generated by these Hamiltonians, \({U}_{\,\text{BS}\,}^{(r)}\) and \({U}_{\text{XY}}(t)={e}^{-it{H}_{\text{XY}}}\), respectively. Mathematically, the beam-splitter interaction in the Fock state basis amounts to an α-fractional Quantum Kravchuk–Fourier transform (α-QKT) of the input state with fractionality \(\alpha =\frac{4}{\pi }\arcsin \sqrt{r}\)36. As 2-QKT is the spatial inversion operator37, so is UXY(t) at t = π. Therefore, the transfer is an effect of mirror reflection of a quantum state w.r.t. the chain centre. Proving this fact was tricky within the framework of spin chains, whereas it is an evident conclusion from our photonic simulations. We note that α = 2 implies interference on a perfectly reflecting beam splitter (r = 1) which swaps input states at its outputs. To demonstrate this behaviour, in our second programme, we simulated the state transfer of a strongly localised edge state, typical of e.g. the SSH model. The initial Fock state \({\left|0\right\rangle }_{a}{\left|S\right\rangle }_{b}\) is gradually transformed to \({\left|S\right\rangle }_{a}{\left|0\right\rangle }_{b}\) for increasing r, as shown in Fig. 2b. Derivations are presented in Supplementary Note 4.

Generalised Majorana modes

Multiphoton Fock state interference also facilitates the simulation of many-body systems that are not restricted to a single excitation subspace. For example, a p-wave superconducting chain (Kitaev model)32 is described by the mean field Hamiltonian \({H}_{{\rm{K}}}=\mathop{\sum }\nolimits_{n = 1}^{N}\{-{\mu }_{n}({c}_{n}^{\dagger }{c}_{n}-1/2)-{t}_{n}({c}_{n+1}^{\dagger }{c}_{n}+{c}_{n}^{\dagger }{c}_{n+1})+{{{\Delta }}}_{n}({c}_{n+1}^{\dagger }{c}_{n}^{\dagger }+{c}_{n}{c}_{n+1})\}\), where \({c}_{n}^{\dagger }\) and cn are creation and annihilation operators for electrons on the nth atomic site, while μn, tn and Δn are site dependent chemical potentials, hopping amplitudes and superconducting pairing potentials, respectively. This Hamiltonian may be expressed in the form \({H}_{{\rm{K}}}=\frac{1}{2}{\chi }^{\dagger }{{\bf{H}}}_{{\rm{BdG}}}\chi\) where \(\chi =\frac{1}{\sqrt{2}}{({a}_{1},-i{b}_{1},{a}_{2},-i{b}_{2},\ldots {a}_{N},-i{b}_{N})}^{{\rm{T}}}\) is a Nambu spinor and HBdG is the Bogoliubov–de Gennes Hamiltonian matrix, in the basis of Majorana operators \({a}_{n}={c}_{n}+{c}_{n}^{\dagger }\) and \({b}_{n}=i({c}_{n}^{\dagger }-{c}_{n})\). The beam-splitter Hamiltonian in the Fock state basis HBS is identical to HBdG for the parameters \({\mu }_{n}={J}_{2n-1},{t}_{n}={{{\Delta }}}_{n}=\frac{{J}_{2n}}{2}\), where 2N = S + 1. This correspondence allows one to simulate the Heisenberg evolution of the Majorana operators over the interaction time θ(r), as well as the evolution of the real fermion operators cn and \({c}_{n}^{\dagger }\), by using linear superpositions of Fock states as input. In particular, the evolution of the operators an and −ibn is encoded by the evolution of the photonic modes \({\left|2(n-1)\right\rangle }_{a}{\left|S-2(n-1)\right\rangle }_{b}\) and \({\left|2n-1\right\rangle }_{a}{\left|S-(2n-1)\right\rangle }_{b}\), respectively. To evidence this, a further simulation with input \({\left|0\right\rangle }_{a}{\left|S\right\rangle }_{b}\) was performed, where S is an odd number, modelling the perfect transfer of Majorana modes between the two ends of a p-wave chain of \(N=\frac{S+1}{2}\) atomic sites that is depicted in Fig. 2c. This is half the number of sites as in the XY spin chain, reflecting the fact that each physical fermion comprises a pair of Majoranas. The simulated dynamics also apply to one-dimensional arrays of photonic cavities41 where the effective superconducting pairing and Majorana modes arise from Kerr-type non-linearities within a Bose–Hubbard model. See Supplementary Note 5 for more details.

Non-uniform transverse-field Ising chain

One can also simulate a transverse-field Ising model, \({H}_{{\rm{K}}}=\frac{1}{2}\mathop{\sum }\nolimits_{n = 1}^{N}({\mu }_{n}{\sigma }_{n}^{z}+2{t}_{n}{\sigma }_{n}^{x}{\sigma }_{n+1}^{x})\), since this is related to the p-wave superconducting chain by a Jordan–Wigner transformation. Due to the non-uniform field μn and spin couplings tn, the system inherits the perfect mirror reflection from the beam-splitter dynamics and allows for perfect state transfer after an interaction time θ = π. We thus highlight a quantum spin network that allows perfect transfer, similar to the previously discussed XY model, but which has not been considered by previous authors. For example, to simulate the transfer of an excited spin between ends of a chain, one should interfere the state \(\frac{1}{\sqrt{2}}({\left|0\right\rangle }_{a}{\left|S\right\rangle }_{b}+{\left|1\right\rangle }_{a}{\left|S-1\right\rangle }_{b})\) on a balanced beam splitter. Detailed derivations are presented in Supplementary Note 5.

Experimental study

Figure 3 shows the experimental integrated-photonics schema used for Fock state quantum simulations. Two pulsed spontaneous parametric down-conversion sources (SPDC) each generated independent two-mode photon-number-entangled states \(\left|{{\Psi }}\right\rangle =\mathop{\sum }\nolimits_{n = 0}^{\infty }\sqrt{{\left\langle n\right\rangle }^{n}}\ \left|n,n\right\rangle\) with an average photon number \(2\left\langle n\right\rangle =0.4\). For the pump repetition rate of 75 kHz this led to ~0.46 five-photon (12 four-photon) Fock states created per minute in each arm of the SPDC, of which about 0.2 (6) reached the detectors due to ca. 50% losses in the set-up. One mode from each \(\left|{{\Psi }}\right\rangle\) (the idlers, c and d) was sent to a TES. Due to photon-number entanglement in \(\left|{{\Psi }}\right\rangle\) states, the outcomes of TESs, l and S − l, heralded the creation of Fock states \({\left|l\right\rangle }_{a}\) and \({\left|S-l\right\rangle }_{b}\) in the signal modes a and b.

Fig. 3: Experimental integrated-photonics set-up for Fock state interference.
figure 3

Laser pulses (blue beams) centred at 775 nm pump two collinear type-II phase-matched 8 mm-long spontaneous parametric down-conversion (SPDC) waveguides written in a periodically poled KTP (PP-KTP) crystal. Each SPDC creates a two-mode photon-number correlated state (red beams). The modes are separated with a Wollaston prism (WP) into the modes ad. They are filtered by bandpass filters tuned to the central wavelength 1554 nm for the signal modes a and b, and 1546 nm for the idler modes c and d. The idler beams are used for heralding the creation of the signal Fock states in a and b which interfere in a variable ratio phase-matched fibre coupler (VC). The VC allows us to set the ratio between 0 and 1 with an error of ±1.5 × 10−2. We used transition-edge sensors (TESs) with efficiency exceeding 90% for photon-number-resolved measurements in all modes33. The optimal temporal overlap at the VC is achieved by adjusting an optical path delay τ. The data is analysed with a data acquisition unit (DAQ).

We characterised the set-up to confirm the high degree of indistinguishability of these Fock states, the key issue for multiphoton HOM effect. We measured the standard HOM interference dip between both sources for a small mean photon number of the order of 10−4, and achieved the visibility VHOM = 85.9%. Next, we took a measurement of the second-order correlation function for each SPDC source separately and observed g(2) ≥ 1.86 ≈ 1 + VHOM, which corroborates the previous result. An effective Schmidt mode number of \(K=\frac{1}{{g}^{(2)}-1}=1.16\) proves our SPDC sources nearly single-mode.

The measured simulations are presented in Fig. 4. The data shown in Fig. 4a, b consists of ~1.6 × 103 registered events, for each value of r, in which the total number of photons was S = 4. The data in Fig. 4c comprises 2.3 × 102 measurements, for each value of r, in which S = 5. We compared them with a numerical model based on Eq. (2) supplemented with the analysis of experimental imperfections, and found that they are in good agreement. Errors were estimated as a square root inverse of the number of measurements. See ‘Methods’ for details.

Fig. 4: Measured Fock state quantum simulations.
figure 4

The experimental simulation outcomes (symbols with error bars) are the directly measured photon statistics p(k) resulting from interference of Fock states, \({\left|l\right\rangle }_{a}\) and \({\left|S-l\right\rangle }_{b}\), on a beam splitter of reflectivity r. The grey insets display the input data l, while the bars expected theoretical values of p(k) obtained numerically. a Two two-photon Fock states (S = 4, l = 2) interfering on a balanced beam splitter (r = 0.5) reveal an edge-state structure in the corresponding spin chain. b Interference of the vacuum and a four-photon number state (S = 4, l = 0) observed for several gradually increasing reflectivities r = 0.04 (green squares), 0.3 (orange triangles), 0.5 (blue circles) and 0.96 (red diamonds) models perfect wave packet transfer in the Kravchuk chain. c Interference of the vacuum and a five-photon number state (S = 5, l = 0) observed for the same set of reflectivities models the transfer of Majorana fermions an and bn across a p-wave superconducting chain of 3 sites. Errors were estimated as a square root inverse of the number of measurements.

In Fig. 4a we show the photon statistics recorded by TES2−3 for the coupler splitting ratio r = 0.5, conditioned on the heralded photon numbers l = 2 and S − l = 2 in modes c and d. They directly model a zero-energy eigenmode of a non-linear SSH model described by \({\left[{{\bf{H}}}_{\text{BS}}\right]}_{nm}^{\text{Fock}\,}\), with emerging two weakly localised edge states. Figure 4b depicts the statistics gathered for l = 0 and S − l = 4 for several splitting ratios: r = 0.04 (green squares), 0.3 (orange triangles), 0.5 (blue circles) and 0.96 (red diamonds). It visualises perfect state transfer of the first spin excitation in the chain of 5 particles by means of continuous-time mirror reflection w.r.t. the chain centre. Figure 4c shows an experimental simulation of the perfect transfer of a Majorana fermion in a p-wave superconducting chain of 3 sites that is based on the statistics gathered for l = 0 and S − l = 5 for all the listed values of r.


Multi-particle Fock state interference is a compelling method in the field of quantum simulations, promising for studying non-crystalline topological materials, beyond the recently challenged bulk-edge correspondence theorem42,43. It allowed us to simulate systems as diverse as an XY spin chain and a non-linear SSH model, as well as the perfect transfer of Majorana fermions over a quantum wire, in a system that is not tied to a single-excitation subspace. The presented examples apply to a variety of systems such as superconducting nanowires44, disordered graphene quasi-1D nanoribbons45 and disordered cold atoms46. These may find applications in next-generation electronics47 and spintronics48 operating with almost no energy dissipation and speeds exceeding 100 GHz.

Remarkably, photon-number-resolved detection we use introduces an effective non-linearity into our system, a feature which can be harnessed in simulated models. This effect is a result of combining quantum interference with a projective measurement, realized with TES detectors in our demonstration. It was recognized as an important component enabling universal quantum computation with linear optics28,29.

Multiphoton Fock states have been utilised in quantum simulations in a very limited capacity until now. The main focus has been on the successful manipulation of large numbers of single or two-photon states in bulk optics49,50,51, as well as in integrated platforms52,53,54. For example, output states of quantum walks in coupled waveguides mostly consist of single photons, with only a small fraction of two-photon states13,14,15,18. The perfect state transfer in an XY spin chain that we consider has also been simulated using both continuous16 and discrete-time17 single-photon quantum walks. An advantage of this approach lies in easily engineered waveguide layouts which can be used to tune the couplings between spins18. However, a simulation of N spins using single photons requires at least N coupled waveguides, with the circuit length specifying the simulation duration. Thus, large waveguide arrays are needed, and it is difficult to vary the spin-chain length or interaction time without fabricating many devices. Ensuring a high degree of indistinguishability of single photons coming from different sources also remains a challenge7.

In contrast, our simulations are done exclusively in Fock space, with Fock states of high photon number encoding all the information from input to output. Our method minimises the spatial complexity, needing only one interaction between two modes, irrespective of the size of the spin chain, while the simulation time may be easily tuned by the beam-splitter reflectivity. On the other hand, simulation of large chains requires the generation of high-order Fock states which is challenging due to losses, the stochastic nature of the heralding, and the existence of multiple modes in the SPDC process55. Experimental imperfections lead to a trade-off between the probability of Fock state generation and their fidelity. These errors are nevertheless minimized by engineering of robust PP-KTP waveguide sources and applying spatial and narrow spectral filtering, resulting in near-single-mode heralded Fock states. They are verified in the experiment by measuring the Glauber second-order correlation function g(2) and computing the Schmidt mode number K, which also takes possible phase errors into account56. Although currently the experimental generation of five-photon Fock states is already beyond the state of the art, it is soon expected to reach the level of tens of photons57. Recent demonstration of a photonic integrated circuit with a built-in four-mode interferometer, 8 dB total loss, and photon-number-resolving detection at all outputs, definitely sets high expectations for higher-dimensional Fock-state-based photonic computation in the near future58.

Qudit data encoding employed in our scheme brings yet another advantage. While in classical digital computation small errors in successive gates are easily corrected by rounding or truncating the signal to one of the allowed values (restandardisation), in the case of quantum circuits this is not possible and the errors accumulate22. Quantum error correction solutions, which address this problem, are difficult to realize in the current era of the Noisy Intermediate-Scale Quantum (NISQ) circuits23. The accumulated errors lead to drop of fidelity with the number of computation steps, which has been recently shown both theoretically24,59,60 and in experiment25,27, including photonic setups61. It is also foreseen that larger systems will suffer from higher individual gate errors due to technological constraints in controlling a large number of qubits26. In these circumstances, simplification introduced by the qudit encoding and a single quantum gate required for computation may lead to improvement of the precision. However, this comes at the cost of preparing a higher-order multiphoton state, and since higher photon Fock states are generated with lower fidelity55 this introduces a further source of error accumulation.

We emphasise that our approach can be generalised to more complex interferometric networks (e.g. combinations of beam tritters, quarters etc.) which allow one to simulate a wider class of Hamiltonians with more tunable parameters without changing the fundamental concepts62. Although it is an open intriguing question what additional systems may be simulated in this way, multiport interferometers such as beam tritters and quarters have already proven a useful tool for quantum simulations in the single-photon regime63,64,65. In principle, multiport networks can implement any unitary evolution described by an N × N matrix66, a feature which has been very recently harnessed in photonic quantum computing chips58. Our approach can also be extended to higher dimensions by including additional degrees of freedom such as photon frequency and polarisation (see Supplementary Note 6). The scope of simulations could be further broadened by using input state superpositions \(\mathop{\sum }\nolimits_{l = 0}^{S}{x}_{l}\left|l,S-l\right\rangle\) and altering the spin-chain couplings. Although preparation of such general superpositions poses a challenge in photonics, input states in the form of generalised Holland–Burnett states were experimentally obtained by interfering Fock states on a beam splitter67. Some other examples could be reached by heralding and conditional state preparation using more intricate interferometers. Merging our approach with coupled-waveguide set-ups is yet an unexplored and intriguing territory.

It would also be very interesting to implement our technique with quantum simulation platforms that are universal. For example, Fock states are also available in motional states of trapped ions up to 10 excitations68 and in the form of plaquette Fock states of atoms in optical lattices up to 4 excitations21. The range of accessible parameters controlling these systems could provide access to other complementary simulation models. Moreover, deterministic creation of an arbitrary superposition of Fock states has been demonstrated for trapped ions and superconducting resonators69. This would further expand the assortment of input states that could be used for simulation and may give birth to new fascinating results.


Characterisation of the set-up

Each integrated SPDC source produced a two-mode weakly squeezed vacuum state \(\left|{{\Psi }}\right\rangle =\mathop{\sum }\nolimits_{n = 0}^{\infty }{\lambda }_{n}\ {\left|n,n\right\rangle }_{s,i}\), where s and i denote two output modes, named the signal and idler, \({\lambda }_{n}=\frac{{\tanh }^{n}g}{\cosh g}\), λn2 is a probability of creation of a pair of n photons and g is the parametric gain. The average photon number in each mode of \(\left|{{\Psi }}\right\rangle\) is \(\left\langle n\right\rangle ={\sinh }^{2}g\). The observed average photon number of \(\left\langle n\right\rangle \approx 0.2\) amounts to g = 0.44, which was sufficient to ensure the emission of multiphoton pairs. In this regime, one can approximate \(\cosh g\approx 1\) and thus, \({\lambda }_{n}\approx {\sinh }^{n}g=\sqrt{{\left\langle n\right\rangle }^{n}}\).

The TESs were operated at 70 mK, which allowed photon-number resolved measurements in all modes33.

The transmission losses in the set-up were estimated by means of Klyshko efficiency measurements. To this end, we set the reflectivity of variable coupler at r = 0.5, and pumped each of the two SPDC sources separately at successively lower power values. The registered four-mode photon statistics were then binned into ‘photon(s)/no-photon’ datasets to mimic the use of standard binary detectors, e.g. avalanche photo-diodes, and we concluded the total efficiencies of the heralding modes c and d to be ηc = 50.3% and ηd = 48.5%, respectively. The variable-coupler modes a and b exhibited a total efficiency of ηa = 21.6% and ηb = 20.6%, respectively. These values result from the fact that each mode carried a 3 dB loss from the coupler itself and another 1 dB due to coupler insertion and fibre-to-fibre coupling losses. We estimated the transmission losses to be approximately of 50% ≈ 3 dB. Here 1 dB stands for the initial fibre in-coupling loss due to spatial mode mismatch, while 0.25 dB stems from detectors inefficiencies, and the remaining loss is from three FC/PC fibre-to-fibre couplers per mode as well as bending losses in the transmission fibres between the set-up and the detectors.

The HOM visibility is computed using the formula \({v}^{(2)}=\frac{{n}_{\text{max}}-{n}_{\text{min}}}{{n}_{\text{max}}+{n}_{\text{min}}}\), where nmax and nmin are the maximal and minimal number of events registered by the TES detectors for the given photon number S. In the experiment for input \(\left|2,2\right\rangle\) and r = 0.5, we obtained v(2) = 50.6% ± 1.2%, whereas for input \(\left|0,4\right\rangle\) (\(\left|0,5\right\rangle\)) they were 99.1% ± 2.5% (97.8% ± 6.2%) for r = 0.04, 87.6% ± 2.2% (96.7% ± 7.2%) for r = 0.3, 65.7% ± 1.7% (71.4% ± 4.6%) for r = 0.5 and 99.9% ± 0.8% (98.6% ± 7.2%) for r = 0.96.

Error estimation

In the experiment, each measurement results in a 4-tuple consisting of the number of photons registered by TES1−4, corresponding to photon-number states in modes ad (Fig. 3). The tuple counts are stored in a database. The probability of detecting k and S − k photons in modes a and b is computed as p(k) = Nk/N, where Nk is the database value retrieved for the key (k, S − k, l, S − l) and N is the total count of events characterised by the given total number of photons S. The measurement errors for each mode were estimated to \({{\Delta }}p=1/\sqrt{N}\).

Numerical model of experimental outcomes

To assess the experimental results we developed a theoretical model which extended Eq. (2) by taking into account the influence of losses, multi-modeness of beams as well as inefficient photodetection.

Decoherence resulting from the first two effects was modelled by replacing the mode with a \({b}^{\dagger }\) superposition of the same mode \({b}^{\dagger }\) and an orthogonal one \({b}_{\perp }^{\dagger }\), i.e. \({b}^{\dagger }\to \cos y\ {b}^{\dagger }+\sin y\ {b}_{\perp }^{\dagger }\), where the parameter \(y\in (0,\frac{\pi }{2})\) introduced weights and ‘tuned’ the distinguishability. This transformation led to the interference of \({\left|l\right\rangle }_{a}\) with a two-mode Fock state superposition \(\mathop{\sum }\nolimits_{n = 0}^{S-l}\left(\begin{array}{*{20}{c}}{S-l} \\ {n}\end{array} \right)^{-1/2}{\cos }^{n}y\ {(\sin y)}^{S-l-n}{\left|n\right\rangle }_{b}{\left|S-l-n\right\rangle }_{b\perp }\) instead of the single-mode Fock state \({\left|S-l\right\rangle }_{b}\), as before. Thus, effectively, some of the multiphoton states interfered with the vacuum state and this implemented the usual model describing particle loss. In our computations, we took \(y=\arcsin \sqrt{(K-1)/K}\), where K denoted the effective Schmidt mode number measured during the set-up characterisation. For K = 1.16, we used y = 0.38.

Realistic model of photodetection requires taking into account a probability of detecting nd photons when a Fock state \(\left|{n}_{\text{in}}\right\rangle\) reaches a TES. It is given by \({p}_{\text{TES}}({n}_{\text{in}},{n}_{d})=\left(\begin{array}{*{20}{c}}{{n}_{\text{in}}} \\ {{n}_{d}}\end{array} \right){(1-\eta )}^{{n}_{\text{in}}-{n}_{d}}\ {\eta }^{{n}_{d}}\) where nd ≤ nin and η is the detector efficiency. In our computations we first used a starting value of η = 0.7 and then numerically optimised efficiencies for individual TESs to compensate for the uneven photon number distribution p(k) seen in Fig. 3a. The programmes were written in Python using mpmath library.

Data availability

All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Information. Additional data available from authors upon request.


  1. Song, B. et al. Observation of nodal-line semimetal with ultracold fermions in an optical lattice. Nat. Phys. 15, 911–916 (2019).

    Article  Google Scholar 

  2. Harris, N. C. et al. Quantum transport simulations in a programmable nanophotonic processor. Nat. Photon. 11, 447–453 (2017).

    ADS  Article  Google Scholar 

  3. Jordan, S. P., Lee, K. S. & Preskill, J. Quantum algorithms for quantum field theories. Science 336, 1130–1133 (2012).

    ADS  Article  Google Scholar 

  4. Khang, N. H. D., Ueda, Y. & Hai, P. N. A conductive topological insulator with large spin Hall effect for ultralow power spin-orbit torque switching. Nat. Mater. 17, 808–813 (2018).

    ADS  Article  Google Scholar 

  5. Šmejkal, L., Mokrousov, Y., Yan, B. & MacDonald, A. H. Topological antiferromagnetic spintronics. Nat. Phys. 14, 242–251 (2018).

    Article  Google Scholar 

  6. Nayak, C., Simon, S. H., Stern, A., Freedman, M. & Das Sarma, S. Non-Abelian anyons and topological quantum computation. Rev. Mod. Phys. 80, 1083–1159 (2008).

    ADS  MathSciNet  MATH  Article  Google Scholar 

  7. Slussarenko, S. & Pryde, G. J. Photonic quantum information processing: a concise review. Appl. Phys. Rev. 6, 041303 (2019).

    ADS  Article  Google Scholar 

  8. Houck, A. A., Türeci, H. E. & Koch, J. On-chip quantum simulation with superconducting circuits. Nat. Phys. 8, 292–299 (2012).

    Article  Google Scholar 

  9. Kim, K. et al. Quantum simulation of the transverse Ising model with trapped ions. New J. Phys. 13, 105003 (2011).

    ADS  Article  Google Scholar 

  10. Blatt, R. & Roos, C. F. Quantum simulations with trapped ions. Nat. Phys. 8, 277–284 (2012).

    Article  Google Scholar 

  11. Schreiber, A. et al. A 2D quantum walk simulation of two-particle dynamics. Science 336, 55–58 (2012).

    ADS  Article  Google Scholar 

  12. Fischer, U. R. & Schützhold, R. Quantum simulation of cosmic inflation in two-component Bose-Einstein condensates. Phys. Rev. A 70, 063615 (2004).

    ADS  Article  Google Scholar 

  13. Peruzzo, A. et al. Quantum walks of correlated photons. Science 329, 1500–1503 (2010).

    ADS  Article  Google Scholar 

  14. Aspuru-Guzik, A. & Walther, P. Photonic quantum simulators. Nat. Phys. 8, 285–291 (2012).

    Article  Google Scholar 

  15. Poulios, K. et al. Quantum walks of correlated photon pairs in two-dimensional waveguide arrays. Phys. Rev. Lett. 112, 143604 (2013).

    ADS  Article  Google Scholar 

  16. Perez-Leija, A. et al. Coherent quantum transport in photonic lattices. Phys. Rev. A 87, 012309 (2013).

    ADS  Article  Google Scholar 

  17. Pitsios, I. et al. Photonic simulation of entanglement growth and engineering after a spin chain quench. Nat. Commun. 8, 1569 (2017).

    ADS  Article  Google Scholar 

  18. Gräfe, M. & Szameit, A. Integrated photonic quantum walks. J. Phys. B: At. Mol. Opt. Phys. 53, 073001 (2020).

    ADS  Article  Google Scholar 

  19. Bloch, I., Dalibard, J. & Nascimbène, S. Quantum simulations with ultracold quantum gases. Nat. Phys. 8, 267–276 (2012).

    Article  Google Scholar 

  20. Flamini, F., Spagnolo, N. & Sciarrino, F. Photonic quantum information processing: a review. Rep. Prog. Phys. 82, 016001 (2019).

    ADS  Article  Google Scholar 

  21. Islam, R. et al. Measuring entanglement entropy in a quantum many-body system. Nature 528, 77–83 (2015).

    ADS  Article  Google Scholar 

  22. Landauer, R. Is quantum mechanics useful? Philos. Trans. R. Soc. A 353, 367–376 (1995).

    ADS  MathSciNet  Google Scholar 

  23. Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018).

    Article  Google Scholar 

  24. Ma, L. & Sanders, J. Markov chains for error accumulation in quantum circuits. Preprint at (2019).

  25. Ma, Y. et al. Error-transparent operations on a logical qubit protected by quantum error correction. Nat. Phys. 16, 827–831 (2020).

    Article  Google Scholar 

  26. Fellous-Asiani, M., Chai, J. H., Whitney, R. S., Auffèves, A., & Ng, H. K. Limitations in quantum computing from resource constraints. Preprint at (2020).

  27. Reinhold, P. et al. Error-corrected gates on an encoded qubit. Nat. Phys. 16, 822–826 (2020).

    Article  Google Scholar 

  28. Knill, E., Laflamme, R. & Milburn, G. J. A scheme for efficient quantum computation with linear optics. Nature 409, 46–52 (2001).

    ADS  Article  Google Scholar 

  29. Scheel, S., Nemoto, K., Munro, W. J. & Knight, P. L. Measurement-induced nonlinearity in linear optics. Phys. Rev. A 68, 032310 (2003).

    ADS  Article  Google Scholar 

  30. Su, W. P., Schrieffer, J. R. & Heeger, A. J. Solitons in polyacetylene. Phys. Rev. Lett. 42, 1698–1701 (1979).

    ADS  Article  Google Scholar 

  31. Yao, N. Y. et al. Quantum logic between remote quantum registers. Phys. Rev. A 87, 022306 (2013).

    ADS  Article  Google Scholar 

  32. Kitaev, A. Y. Unpaired Majorana fermions in quantum wires. Phys.-Usp. 44, 131 (2001).

    ADS  Article  Google Scholar 

  33. Gerrits, T. et al. On-chip, photon-number-resolving, telecommunication-band detectors for scalable photonic information processing. Phys. Rev. A 84, 060301 (2011).

    ADS  Article  Google Scholar 

  34. Hong, C. K., Ou, Z. Y. & Mandel, L. Measurement of subpicosecond time intervals between two photons by interference. Phys. Rev. Lett. 59, 2044–2046 (1987).

    ADS  Article  Google Scholar 

  35. Campos, R. A., Saleh, B. E. A. & Teich, M. C. Quantum-mechanical lossless beam splitter: SU(2) symmetry and photon statistics. Phys. Rev. A 40, 1371–1384 (1989).

    ADS  Article  Google Scholar 

  36. Stobińska, M. et al. Quantum interference enables constant-time quantum information processing. Sci. Adv. 5, eaau9674 (2019).

    ADS  Article  Google Scholar 

  37. Atakishiyev, N. M. & Wolf, K. B. Fractional Fourier–Kravchuk transform. J. Opt. Soc. Am. A 14, 1467–1477 (1997).

    ADS  MathSciNet  Article  Google Scholar 

  38. Gorlach, M. A. & Slobozhanyuk, A. P. Nonlinear topological states in the Su–Schrieffer–Heeger model. Nanosystems: Phys. Chem. Math. 8, 695–700 (2017).

    Google Scholar 

  39. Christandl, M., Datta, N., Ekert, A. & Landahl, A. J. Perfect state transfer in quantum spin networks. Phys. Rev. Lett. 92, 187902 (2004).

    ADS  Article  Google Scholar 

  40. Christandl, M. et al. Perfect transfer of arbitrary states in quantum spin networks. Phys. Rev. A 71, 032312 (2005).

    ADS  Article  Google Scholar 

  41. Bardyn, C.-E. & İmamoğlu, A. Majorana-like modes of light in a one-dimensional array of nonlinear cavities. Phys. Rev. Lett. 109, 253606 (2012).

    ADS  Article  Google Scholar 

  42. Downing, C. A., Sturges, T. J., Weick, G., Stobińska, M. & Moreno, L. M. Topological phases of polaritons in a cavity waveguide. Phys. Rev. Lett. 123, 217401 (2019).

    ADS  Article  Google Scholar 

  43. Pocock, S. R., Huidobro, P. A. & Giannini, V. Bulk-edge correspondence and long-range hopping in the topological plasmonic chain. Nanophotonics 8, 1337–1347 (2019).

    Article  Google Scholar 

  44. Diez, M., Dahlhaus, J. P., Wimmer, M. & Beenakker, C. W. J. Andreev reflection from a topological superconductor with chiral symmetry. Phys. Rev. B 86, 094501 (2012).

    ADS  Article  Google Scholar 

  45. Han, M. Y., Özyilmaz, B., Zhang, Y. & Kim, P. Energy band-gap engineering of graphene nanoribbons. Phys. Rev. Lett. 98, 206805 (2007).

    ADS  Article  Google Scholar 

  46. Pinheiro, F. & Larson, J. Disordered cold atoms in different symmetry classes. Phys. Rev. A 92, 023612 (2015).

    ADS  Article  Google Scholar 

  47. McCaughan, A. N. & Berggren, K. K. A superconducting-nanowire three-terminal electrothermal device. Nano Lett. 14, 5748–5753 (2014).

    ADS  Article  Google Scholar 

  48. Nautiyal, T., Rho, T. H. & Kim, K. S. Nanowires for spintronics: a study of transition-metal elements of groups 8–10. Phys. Rev. B 69, 193404 (2004).

    ADS  Article  Google Scholar 

  49. Huang, Y.-F. et al. Experimental generation of an eight-photon Greenberger–Horne–Zeilinger state. Nat. Commun. 2, 546 (2011).

    ADS  Article  Google Scholar 

  50. Wang, X.-L. et al. Experimental ten-photon entanglement. Phys. Rev. Lett. 117, 210502 (2016).

    ADS  Article  Google Scholar 

  51. Zhong, H. S. et al. 12-photon entanglement and scalable scattershot Boson sampling with optimal entangled-photon pairs from parametric downconversion. Phys. Rev. Lett. 121, 250505 (2018).

    ADS  Article  Google Scholar 

  52. Caspani, L. et al. Integrated sources of photon quantum states based on nonlinear optics. Light Sci. Appl. 6, e17100 (2017).

    Article  Google Scholar 

  53. Blanco-Redondo, A., Bell, B., Oren, D., Eggleton, B. J. & Segev, M. Topological protection of biphoton states. Science 362, 568–571 (2018).

    ADS  MathSciNet  MATH  Article  Google Scholar 

  54. Wang, H. et al. Boson sampling with 20 input photons and a 60-mode interferometer in a 1014-dimensional Hilbert space. Phys. Rev. Lett. 123, 250503 (2019).

    ADS  Article  Google Scholar 

  55. Tiedau, J. et al. Scalability of parametric down-conversion for generating higher-order Fock states. Phys. Rev. A 100, 041802 (2019).

    ADS  Article  Google Scholar 

  56. Eckstein, A., Christ, A., Mosley, P. J. & Silberhorn, C. Highly efficient single-pass source of pulsed single-mode twin beams of light. Phys. Rev. Lett. 106, 013603 (2011).

    ADS  Article  Google Scholar 

  57. Harder, G. et al. Single-mode parametric-down-conversion states with 50 photons as a source for mesoscopic quantum optics. Phys. Rev. Lett. 116, 143601 (2016).

    ADS  Article  Google Scholar 

  58. Arrazola, J. M. et al. Quantum circuits with many photons on a programmable nanophotonic chip. Nature 591, 54–60 (2021).

    ADS  Article  Google Scholar 

  59. Gulliksen, J., Dasari, D. B. R. & Mølmer, K. Characterization of how dissipation and dephasing errors accumulate in quantum computers. EPJ Quantum Technol. 2, 4 (2015).

    Article  Google Scholar 

  60. Reiner, J.-M. et al. Effects of gate errors in digital quantum simulations of fermionic systems. Quantum Sci. Technol. 3, 045008 (2018).

    ADS  Article  Google Scholar 

  61. Boutari, J. et al. Large scale quantum walks by means of optical fiber cavities. J. Opt. 18, 094007 (2016).

    ADS  Article  Google Scholar 

  62. Osawa, S., Simon, D. S. & Sergienko, A. V. Directionally-unbiased unitary optical devices in discrete-time quantum walks. Entropy 21, 853 (2019).

    ADS  MathSciNet  Article  Google Scholar 

  63. Spagnolo, N. et al. Three-photon bosonic coalescence in an integrated tritter. Nat. Commun. 4, 1606 (2013).

    ADS  Article  Google Scholar 

  64. Spagnolo, N. et al. Quantum interferometry with three-dimensional geometry. Sci. Rep. 2, 862 (2012).

    Article  Google Scholar 

  65. Menssen, A. J. et al. Distinguishability and many-particle interference. Phys. Rev. Lett. 118, 153603 (2017).

    ADS  Article  Google Scholar 

  66. Reck, M., Zeilinger, A., Bernstein, H. J. & Bertani, P. Experimental realization of any discrete unitary operator. Phys. Rev. Lett. 73, 58–61 (1994).

    ADS  Article  Google Scholar 

  67. Thekkadath, G. S. et al. Quantum-enhanced interferometry with large heralded photon-number states. npj Quantum Inf. 6, 89 (2020).

    ADS  Article  Google Scholar 

  68. Ding, S., Maslennikov, G., Hablützel, R. & Matsukevich, D. Cross-Kerr nonlinearity for phonon counting. Phys. Rev. Lett. 119, 193602 (2017).

    ADS  Article  Google Scholar 

  69. Hofheinz, M. et al. Synthesizing arbitrary quantum states in a superconducting resonator. Nature 459, 546–549 (2009).

    ADS  Article  Google Scholar 

Download references


T.S., T.M., A.B. and M.S. were supported by the Foundation for Polish Science ‘First Team’ project No. POIR.04.04.00-00-220E/16-00 (originally: FIRST TEAM/2016-2/17) and the National Science Centre ‘Sonata Bis’ project No. 2019/34/E/ST2/00273. A.E. and I.W. were supported by the Engineering and Physical Sciences Research Council project No. EP/K034480/1.

Author information

Authors and Affiliations



Both T.S. and T.M. contributed equally. T.S., T.M., A.B. and M.S. developed the theory while A.E., W.R.C., W.S.K. and I.A.W. were responsible for realisation of the experiment. J.J.R., S.W.N., T.G. and A.L. delivered and maintained the transition-edge sensor detection system. A.B., T.S. and T.M. developed the software and performed numerical computations. A.B. prepared the plots. All the co-authors wrote up the manuscript.

Corresponding author

Correspondence to M. Stobińska.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Sturges, T.J., McDermott, T., Buraczewski, A. et al. Quantum simulations with multiphoton Fock states. npj Quantum Inf 7, 91 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing