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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2019 May 23;116(24):11673–11678. doi: 10.1073/pnas.1904839116

Quantum phase-sensitive diffraction and imaging using entangled photons

Shahaf Asban a,b,1, Konstantin E Dorfman c,1, Shaul Mukamel a,b,1
PMCID: PMC6575168  PMID: 31123144

Significance

A quantum diffraction imaging technique is proposed, whereby one photon of an entangled pair is diffracted off a sample and detected in coincidence with its twin. Scanning the photon that did not interact with matter, we show that the phase information imprinted in the state of the field is detectable. We discuss several experimental applications: (i) Obtaining real-space images in diffraction imaging avoids the “phase problem.” (ii) The image scales as Ip1/2 with the interacting photons, where Ip is the source intensity, compared with Ip of classical diffraction. This makes weak-field imaging possible, avoiding damage to delicate samples. (iii) A Schmidt decomposition of the field can be used for image enhancement by reweighting the Schmidt modes contributions.

Keywords: quantum imaging, entangled photons, quantum diffraction, phase-sensitive imaging

Abstract

We propose a quantum diffraction imaging technique whereby one photon of an entangled pair is diffracted off a sample and detected in coincidence with its twin. The image is obtained by scanning the photon that did not interact with matter. We show that when a dynamical quantum system interacts with an external field, the phase information is imprinted in the state of the field in a detectable way. The contribution to the signal from photons that interact with the sample scales as Ip1/2, where Ip is the source intensity, compared with Ip of classical diffraction. This makes imaging with weak fields possible, providing high signal-to-noise ratio, avoiding damage to delicate samples. A Schmidt decomposition of the state of the field can be used for image enhancement by reweighting the Schmidt modes contributions.


Rapid advances in short-wavelength ultrafast light sources have revolutionized our ability to observe the microscopic world. With bright free-electron lasers and high-harmonics tabletop sources, short time (femtosecond) and length (subnanometer) scales become accessible experimentally. These offer new exciting possibilities to study spatio-spectral properties of quantum systems driven out of equilibrium and monitor dynamical relaxation processes and chemical reactions. The spatial features of small-scale charge distributions can be recorded in time. Far-field off-resonant X-ray diffraction measurements provide useful information on the charge density σQ , where Q is the diffraction wavevector. The observed diffraction pattern SQ is given by the modulus square SQσQ2. Inverting these signals to real-space σr requires a Fourier transform. Since the phase of σQ is not available, the inversion requires phase retrieval which can be done using either algorithmic solutions (1, 2) or more sophisticated and costly experimental setups such as heterodyne measurements (3). Correlated beam techniques (410) in the visible regime have been shown to circumvent this problem by producing the real-space image of mesoscopic objects. Such techniques have classical analogs using correlated light. They reveal the modulus square of the studied object σr2 (11, 12).

In this paper we consider the setup shown in Fig. 1. We focus on off-resonant scattering of entangled photons in which only one photon, denoted as the “signal,” interacts with a sample. Its entangled counterpart, the “idler,” is spatially scanned and measured in coincidence with the arrival of the signal photon. The idler reveals the image and also uncovers phase information, as was recently shown in ref. 13 for linear diffraction where heterodyne-like detection has been achieved due to vacuum fluctuation of the detector.

Fig. 1.

Fig. 1.

Sketch of the proposed quantum imaging setup. A broadband pump pulse with the wavevector kp propagates through a χ2 crystal, generating an entangled photon pair denoted as signal and idler. The photons are distinguished either by polarization (type II) or by frequency (type I) and are separated by a beam splitter (BS). The signal photon interacts with the sample and can be further frequency dispersed and collected by a “bucket” detector Ds with no spatial resolution. The idler is spatially resolved in the transverse plane by the detector Di. The two photons are detected in coincidence (Eq. 12).

Our first main result is that for small diffraction angles, using Schmidt decomposition of the two-photon amplitude Φqs,qi=nλnunqsvnqi , where λn is the respective mode weight, reads

Spρ¯iRenmλnλmβnmpvn*ρ¯ivmρ¯i. [1]

Here βnm(1)=drun(r)σ(r)um*(r), βnm(2)=drun(r)σ(r)2um*r , and ρ¯i is a two-dimensional vector in the transverse detection plane. σr is the charge density of the target object prepared by an actinic pulse and p=1,2 represents the order in σr . For large diffraction angles and frequency-resolved signal, the phase-dependent image is modified to Sρ¯iRenmγnmλnλmvn*ρ¯ivmρ¯i , where γnm has a similar structure to βnm1 modulated by the Fourier decomposition of the Schmidt basis. γnm is phase dependent, contrast to diffraction with classical sources.

Our second main result tackles the spatial resolution enhancement. In entanglement-based imaging, the resolution is limited by the degree of correlation of the two beams. Schmidt decomposition of the image allows us to enhance desired spatial features of the charge density. High-order Schmidt modes (which correspond to angular momentum transverse modes with high topological charge) offer more detailed matter information. Reweighting of Schmidt modes maximizes modal entropy which yields matter information gain and reveals fine details of the charge density. Moreover, S1 in Eq. 1 has no classical analog; the contribution to the overall image from the signal photons scales as Ip1/2, where Ip is the intensity of the source. This is a unique signature of the linear quantum diffraction (13). The overall detected signal is obtained in coincidence and scales as Ip3/2. Classical diffraction in contrast requires two interactions with the incoming field and therefore scales as Ip, and the corresponding coincidence scales as Ip2, which also applies for S2. Thanks to favorable scaling, weak fields can be used to study fragile samples to avoid damage.

Spatial Entanglement

Various sources of entangled photons are available, from quantum dots (14) to cold atomic gases (15) and nonlinear crystals, and are reviewed in ref. 4. A general two-photon state can be written in the form

ψ=ks,kiΦks,kiϵksμsϵkiμiaks,μsaki,μi0s,0i, [2]

where ϵkν is polarization, ak,νak,ν are field annihilation (creation) operators, and Φks,ki is two-photon amplitude. In the paraxial approximation the transverse momentum qs,qi and the longitudinal degrees of freedom are factorized. The transverse amplitude of the photon pair generated using a parametric down converter takes then the form (4, 1618)

Φqs,qi=Γqs+qisincL2qsqi2, [3]

and here Γq is the pump envelope of the transverse components, L2=lzλp4π, where λp is the central wavelength and lz is the length of the nonlinear crystal along the longitudinal direction. The state of field is then given by

ψ=vac+Cqs,qiωs,ωiApωs+ωiΦqs,qi×qs,ωs;qi,ωi, [4]

where C is a normalization prefactor and Ap is the pump envelope.

Schmidt Decomposition of Entangled Two-Photon States.

The hallmark of entangled photon pairs is that they cannot be considered as two separate entities. This is expressed by the inseparability of the field amplitude Φ into a product of single-photon amplitude; all of the interesting quantum optical effects discussed below are derivatives of this feature. Φ can be represented as a superposition of separable states using the Schmidt decomposition (1921)

Φqs,qi=nλnunqsvnqi, [5]

where the Schmidt modes unqs and vnqi are the eigenvectors of the signal and the idler reduced density matrices, and the eigenvalues λn satisfy the normalization nλn=1 (20). The number of relevant modes serves as an indicator for the degree of inseparability of the amplitude, i.e., photon entanglement. Common measures for entanglement include the entropy Sent=nλnlog2λn or the Schmidt number κ1nλn2. The latter is also known as the inverse participation ratio as it quantifies the number of important Schmidt modes or the effective joint Hilbert space size of the two photons. In a maximally entangled wavefunction, all modes contribute equally.

The spatial profile of the photons in the transverse plane (perpendicular to the propagation direction) can be expanded and measured using a variety of basis functions; e.g., Laguerre–Gauss (LG) or Hermite–Gauss (HG) has been demonstrated experimentally (22, 23). These sets satisfy orthonormality d2qunqvkq=δnk and closure relations nunqvnq=δ2qq . The deviation of λn from a uniform (flat) distribution reflects the degree of entanglement. Perfect quantum correlations correspond to maximal entanglement entropy and thus a flat distribution of modes. This is further clarified by the closure relations, which demonstrate the convergence into a point-to-point mapping in the limit of perfect transverse entanglement. The biphoton amplitude exhibits two limiting cases for the infinite inverse participation ratio which are demonstrated in Fig. 2. When the sinc function in Eq. 3 is approximated by a Gaussian, the Schmidt number is given in a closed form (24),

κ=14σpL+1σpL2, [6]

where σp2 is the variance of the transverse momentum of the pump. For σp=l=1, we get κ=1 and the two-photon wavefunction is separable, Φκ=1Φ1qs,qi=ΦqsΦqi (no entanglement). A high number of relevant Schmidt modes indicates stronger quantum correlations between the two photons as shown in Fig. 2. In the extreme cases of either vanishing or infinite product σpl the photons are maximally entangled κ, and the corresponding amplitude is Φqs,qiδqs±qi as depicted in Fig. 2. We denote by ρs/i as the real-space transverse plane coordinate, conjugate to qs/i. The real-space amplitude has two limiting cases, when σpl0Φρs,ρi=Φρs,ρi=Φ0δρsρi . This amplitude maps the image plane explored by the signal photon directly into the idler’s detector. The opposite limiting case σpL is given by the amplitude Φρs,ρi=Φρs,ρi=Φ0δρs+ρi . This amplitude maps the sample plane monitored by the signal photon ρsρi which results in the mirror image. We use the abbreviated notation whereby ρi¯ denotes the mapping from the sample to the detector plane with the corresponding sign.

Fig. 2.

Fig. 2.

Transverse beam amplitude profile for different Schmidt numbers. For κ3=1 the amplitude in Eq. 5 is separable and the photons are not entangled. As κ is increased the amplitude approaches a narrow distribution. κ1=2,500 and κ2=25.5 are obtained in the σpL>1 regime, and the amplitude approaches Φδqs+qi . κ4=25.5 and κ5=2,500 are taken in the σpL<1 regime, with the asymptotic amplitude Φδqsqi .

The Reduced Idler Density Matrix in the Schmidt Basis

The reduced density matrix of the idler reveals the role of quantum correlations in the proposed detection measurement scheme (Fig. 1). The joint light–matter density matrix in the interaction picture is given by

ρμϕintt=TeidτHI,τρμρϕ, [7]

where T represents superoperator time ordering and the off-resonance radiation/matter coupling is HI=drσr,tA2r,t with the vector field Ar,t=E˙r,tc. The subscript (−) on the Hilbert space operator represents the commutator OO, . The electric field is given by Er,t=kEk+r,t+Ekr,t such that

Ek+r,t=Ekr,t=2πωkVkνϵkνak,νeikriωkt, [8]

where μ stands for the matter’s degrees of freedom while ϕ represents the field’s degrees of freedom. For a weak field, one can expand the evolution of the density matrix in powers of the field which correspond to number of light–matter interactions. To first nontrivial order, a single interaction from the left or the right of the joint space density matrix corresponds to a change in the coherence in the field subspace ρϕ=trμρμϕ. The radiation field records no photon exchange due to a single interaction with the matter, merely a change in its phase. When the initial state of the field contains a nontrivial internal structure such as quantum correlations arising from entanglement, the initial reduced density matrix ρϕi=trμϕsρμ,ϕsi obtained by tracing over the signal beam is given by

ρϕi0=n,i,iλnvn*kivnki1i1i, [9]

which is diagonal in the idler subspace in the Schmidt basis. When the signal interacts with an external matter degree of freedom, the idler reduced density matrix is no longer diagonal. Explicitly, in the limit of diffraction to small angles the idler’s reduced density matrix is given by (SI Appendix, section 1)

ρϕi1  =  n,m,i,iPnmvn*kivmki1i1i+h.c, [10]

where Pnm=iβnm1λnλm, and

βnm1=drunrσrum*r [11]

are the projections of matter quantities on the chosen Schmidt basis. Our setup allows one to probe the induced coherence of the field due to its interaction with matter.

Fig. 3 displays the induced Schmidt-space coherence of the reduced density matrix of idler (the noninteracting photon) due to the interaction of its twin (signal) with an object. We have chosen the Hermite–Gauss basis, depicted in Fig. 4 for this visualization. Each mode is labeled by two indexes, one for each spatial dimension of the image. In Fig. 3 C and D, we have traced over the corresponding index, resulting in a 1D dataset. Each coherence corresponds to a projection of the object between two modes. Eq. 1 can be derived as the intensity expectation value calculated from the idler’s reduced density matrix given in Eq. 10.

Fig. 3.

Fig. 3.

The reduced idler density matrix in the Schmidt basis. (A) The projected object. (B) The “spot size” corresponding to the HG00 mode. (C) The idler’s reduced density matrix before the interaction with the object presented in Hermite–Gauss basis modes, given by Eq. 9. (D) The change in the reduced density matrix of the idler due to the interaction with the object given by Eq. 10.

Fig. 4.

Fig. 4.

Hermite–Gaussian modes. Modes are labeled by two indexes, each representing one dimension in the transverse plane.

Far-Field Diffraction

We next turn to far-field diffraction with arbitrary scattering directions. While the incoming field is understood to be paraxial, the scattered field is not. The coincidence image in the far field yields a similar expression to the one calculated from the reduced density matrix in Eq. 10 with an additional spatial phase factor characteristic to far-field diffraction. Using Eq. 4 for the setup described in Fig. 1, the coincidence image is given by the intensity–intensity correlation function (SI Appendix),

Sρ¯i=dXsdXiGsXs,Xs¯GiXi,Xi¯×TÎsrs,tsÎiri,tiUIt, [12]

where Îmrm,tmE^m,Rrm,tmE^m,L+rm,tm are field intensity operators and m=s,i . The gating functions Gm represent the details of the measurement process (25, 26). Eq. 12 can be calculated straight from the reduced density matrix of the idler, despite the fact that it includes the signal’s intensity operator. The reason stems from the fact that the intensity operator expectation value monitors the single-photon space. The partial trace over a singly occupied signal state results in the same conclusion. Estimating this expression includes a 10-field operators correlation function which is shown explicitly in SI Appendix, section 2, Eq. S4. In the far field, after rotational averaging we obtain (SI Appendix, section 2)

Sρ¯iRedωsEωsdρsΦρs,ρ¯i×dρΦρ,ρ¯iσρeiQsρ. [13]

Here Qs=ωscρ^s is the diffraction wavevector, Eωs=dωiGωsGωiAωs+ωi2 is a functional of the frequency, S=SS0 is the image with the noninteracting-uniform background (S0) subtracted, and ρ¯i is the mapping coordinate onto the detector plane with the corresponding sign. σρα;a,ba|σ^ρρα|b denotes a matrix element of the charge-density operator, traced over the longitudinal axis, with respect to the eigenstates {a,b}, and ρα are positions of particles in the sample. The matter can be prepared initially in a superposition state. Substituting the Schmidt decomposition (Eq. 5) into Eq. 13 gives

Sρ¯iRedωsEωsdρsnmλnλmunρsvn*ρ¯i×vmρ¯idρum*ρσρeiQsρ. [14]

This shows a smooth transition from momentum to real-space imaging. For low Schmidt modes that do not vary appreciably across the charge density scale, the last term yields σQsdρum*ρσρeiQsρ. Consequently, when the Schmidt modes do not vary on the length scale of the charge density up to high order, the Fourier decomposition of the charge density is projected on un and reweights the corresponding idler modes. The resulting image given by spatial scanning of the idler is the Fourier transform of the charge density projected on the relevant idler mode. Alternately, when the Schmidt modes vary along the charge density, the exact expression for the far-field diffraction image is given by

Sρ¯i  Renmγnmλnλmvn*ρ¯ivmρ¯i [15]
γnm=kβkm1dρsdωsEωsunρsuk*Qs, [16]

where βnm1 is defined in Eq. 11. From the definition of Qs it is evident that its angular component of uk is identical to the corresponding one in un and therefore γnm is composed of summation over modes with the same angular momentum in the LG basis set.

It is also possible to obtain the real-space image of the charge density when the signal is frequency dispersed. Assuming for simplicity perfect quantum correlations between the signal and idler, we obtain

Sρ¯i,ω¯sReσρ¯ieiω¯scρ¯i. [17]

This image is phase dependent and therefore allows us to transform freely between momentum and real space which is not possible in ordinary diffraction of classical light. The phase-dependent Fourier image in this limit is also given by resolving the signal photon with respect to the frequency ω¯s as well (SI Appendix).

Reweighted Modal Contributions

The apparent classical-like form of the coherent superposition in the Schmidt representation, where each mode carries distinct spatial matter information, suggests experiments in which a single Schmidt mode is measured at a time (23). This bears some resemblence to the coherent mode representation of partially coherent sources studied in refs. 27 and 28. Moreover, it allows the reweighting of high angular momentum modes available experimentally (29) and known to have a decreasing effect on the image upon naive summation. Reweighting of truncated sums is extensively used as a sharpening tool in digital signal processing, especially in medical image enhancement (30). This approach raises questions regarding the analysis of optimal Schmidt weights, error minimization, and engineered functional decrease of weights as done in theory for sampled signals. The structure of the spatial information mapping from the signal to the idler takes a simpler form for small scattering angles. When we examine the first- and second-order contributions due to a single charge distribution, the resulting image of a truncated sum composed of the first N modes is given by

SNpρ¯iRen,m=0Nλnλmβnmpvn*ρ¯ivmρ¯i, [18]

where βnm2=drunrσr2um*r is a scattering coefficient between Schmidt modes which resembles the expressions used in previous two-photon imaging techniques (4, 11, 12). βnm1, defined in Eq. 11, holds phase information of the studied object and has no classical counterpart. Its momentum space representation reads,

βnm1=ks,kdunksσkskdum*kd, [19]

where d stands for a detected mode initially in a vacuum state. This shows more clearly the physical role played by the charge density in the coupling of different Schmidt modes.

Fig. 5A presents the Schmidt spectrum for a beam characterized by σpl=0.07 which yields κ14. Fig. 5B illustrates the improvement of the acquired image due to resummation of the Hermite–Gauss modes of the object decomposed in Fig. 3. By using Eq. 18 with a flattened Schmidt spectrum we demonstrate the enhancement of fine features of the diffracted image. Phase measurement is demonstrated in Fig. 5 C and D.

Fig. 5.

Fig. 5.

Weighted recombination of the truncated sum in Eq. 18, using HG basis with σpl=0.07, corresponding to κ14. (A) Schmidt weights of the entangled light source. (B) First-order image. Shown is recombination using the original weight of each mode (Upper row), with respect to the N first modes. This corresponds to straightforward imaging with the given parameters. Lower row shows the reweighted-flattened Schmidt spectrum recombination that corresponds to the N first modes, marked with (R). (C) The real part of the image Ir,ϕ with added spatial phase Iρ,ϕexpi2πL/3ρ. (D) Reweighted truncated sum diffraction image given by Eq. 18 for n = 20. Recovering the spatial phase is shown.

Discussion

The scattered quantum light from matter carries phase information at odd orders in the charge distribution σq , the light–matter interaction. To first order, the change in the quantum state of the field due to a single interaction is imprinted in the phase of the photons, which is detectable. However, no photon is generated in this order. Homodyne diffraction of classical sources results in even correlation functions of the charge density. We have provided a complete description of the charge distribution resulting from nonvanishing odd orders of the radiation–matter interaction. The detected image is sensitive to the degree of entanglement. High resolution is achieved in the limits of infinite or vanishing σpl, which are hard to realize. For a long nonlinear crystal, the phase matching factor is more dominant and strong beam divergence is required to generate strong quantum correlations. This limit is not compatible with the paraxial approximation for the amplitude and requires further study. In the short crystal limit the amplitude acquires the angular spectrum of the pump and the resolution is limited by the crystal length and low beam divergence.

We have demonstrated that coincidence diffraction measurements of entangled photons with quantum detection can also achieve enhanced imaging resolution. Eq. 18 provides an intuitive picture for the information transfer from the signal to the idler beams. By reweighting the spatial modes that span the measured image, one can refine the matter information. High angular momentum states of light have been recently demonstrated experimentally with quantum numbers above 104 (29). It is of cardinal practical importance to quantify the natural cutoff of high topologically charged modes to discuss subwavelength resolution. Reweighting the Schmidt modes distribution is motivated by the closure relations nunqvnq=δ2qq . This suggests that equal contribution of modes converges into a delta distribution of the two-photon amplitude, perfectly transferring the spatial information between the photons. Finding optimal weights is a challenge for future studies. Signal acquisition optimization techniques used in sampling theory, avoiding high-frequency quantization noise, can be considered as well (30).

The imaging of single localized biological molecules has been a major driving force for building free-electron X-ray lasers (31). Such molecules are complex, are fragile, and typically have multiple-timescale dynamics. One strategy is to use a fresh sample in each iteration, assuming a destructive measurement. Ultrashort X-ray pulses have been proposed to reduce damage (32). Entangled hard X-ray photons have been generated by parametric down conversion, using a diamond crystal (33). Avoiding damage of such complexes by using weak fields allows us to follow the evolution of initially perturbed charge densities. Linear diffraction scales as Ip1/2 with the signal photons that interact with the sample while the overall coincidence image scales as Ip3/2. Using diffraction of entangled photons from charge distributions initially prepared by ultrafast pulses results in imaging of their real-space dynamics and provides a fascinating topic for future study.

Supplementary Material

Supplementary File
pnas.1904839116.sapp.pdf (295.5KB, pdf)

Acknowledgments

The support of the Chemical Sciences, Geosciences, and Biosciences Division, Office of Basic Energy Sciences, Office of Science, US Department of Energy is gratefully acknowledged. Collaborative visits of K.E.D. to the University of California, Irvine were supported by Award DEFG02-04ER15571, and. S.M. was supported by Award DESC0019484. S.A.’s fellowship was supported by the National Science Foundation (Grant CHE-1663822). K.E.D. acknowledges the support from Zijiang Endowed Young Scholar Fund, East China Normal University; Overseas Expertise Introduction Project for Discipline Innovation (111 Project, B12024). We also thank Noa Asban for the graphical illustrations.

Footnotes

The authors declare no conflict of interest.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1904839116/-/DCSupplemental.

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Supplementary Materials

Supplementary File
pnas.1904839116.sapp.pdf (295.5KB, pdf)

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