Dotan HaleviRacah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401,Israel Boaz LubotzkyRacah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401,IsraelKfir SulimanyRacah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401,IsraelEric G. BowesMaterials Physics & Applications Division: Center for Integrated Nanotechnologies, Los Alamos National Laboratory,Los Alamos, New Mexico 87545, USAJennifer A. HollingsworthMaterials Physics & Applications Division: Center for Integrated Nanotechnologies, Los Alamos National Laboratory,Los Alamos, New Mexico 87545, USAYaron BrombergRacah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401,IsraelRonen RapaportRacah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem 9190401,Israelronen.rapaport@mail.huji.ac.il
Abstract
High-dimensional quantum key distribution (HDQKD) is a promising avenue to address the inherent limitations of basic QKD protocols. However, experimental realizations of HDQKD to date have relied on indeterministic photon sources that limit the achievable key rate. In this paper, we demonstrate a full emulation of a HDQKD system using a single colloidal giant quantum dot (gQD) as a deterministic, compact and room-temperature single-photon source (SPS). We demonstrate a practical protocol by encoding information in a high-dimensional space () of the orbital angular momentum of the photons. Our experimental configuration incorporates two spatial light modulators for encoding and decoding the spatial information carried by individual photons. Our experimental demonstration establishes the feasibility of utilizing high radiative quantum yield gQDs as practical SPSs for HDQKD. We also demonstrate experimentally secure qudit transmission exceeding one secure bit per photon, thus already beating the traditional QKD capacity.
1 Introduction
High-dimensional quantum key distribution (HDQKD) offers an appealing approach to enhancing the performance of basic QKD systems. Unlike traditional QKD protocols, which are based on encoding two-dimensional quantum bits (qubits) using two optical modes, such as linear polarization states, HDQKD leverages modes to encode d-dimensional quantum bits (qudits) with a single photon. The higher information capacity significantly increases the secure key rate per photon and also enhances the protocol’s resilience to quantum bit error rate [1, 2, 3]. HDQKD protocols have been demonstrated utilizing spatial [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], time-bin[20, 21, 22, 23, 24, 25], or time-energy [26, 27, 28, 29, 30, 31, 32, 33, 34] encoding.
The spatial mode of a photon is a convenient degree of freedom for encoding qudits, since it is relatively easy to manipulate the states of such a qudit using phase plates and spatial light modulators (SLMs). One notable spatial mode basis is that of the orbital angular momentum (OAM) of photons [35]. OAM modes are characterized by a helical phase of the electric field, given by , where is the azimuthal angle and is the quantum orbital angular momentum number. Thus, each OAM mode carries a specific orbital angular momentum value and is orthogonal to the other modes. These modes can be used as a basis for encoding information.
Similar to traditional two-dimensional QKD protocols, ideal HDQKD implementations require a true single-photon source (SPS). However, until now, experiments demonstrating HDQKD relied only on alternative sources: (a) attenuated laser pulses [36, 6, 37], which generate weak coherent photon states, and are generally vulnerable to photon number splitting attacks, which limits the maximal secure key rate and distance [38, 39, 40, 41], or(b) sources based on spontaneous parametric down-conversion (SPDC) [42, 43, 44, 8], which generate entangled photon pairs but suffer from indeterminism in the photon production times and low photon-pair emission probabilities. These photon sources, therefore, limit the performance of practical HDQKD systems. For this reason, a demonstration of HDQKD using an SPS is essential.
An emerging SPS is the CdSe/CdS core/thick-shell giant colloidal quantum dot (gQD) [45, 46].Recent advancements in gQD synthesis[47] and integration [48] into nanoantenna devices yielded superior performance of gQDs as promising sources for single photons. gQDs coupled to nanoantennas have several advantages, including room-temperature operation and stability over time [45, 48, 46], high single-photon purity [49], very fast emission rates with high photon directionality leading to high brightness [50] and near unity collection efficiency [51]. Additionally, their ease of synthesis, versatility of integration with various nanostructures, and tunable emission wavelengths [52, 53] make them attractive candidates for large-scale quantum communication networks. This paves the way for gQDs as a practical SPS for QKD systems, particularly in HDQKD. However, demonstration of encoding and measuring HDQKD bases using single photons from gQDs or other room-temperature SPSs is still an outstanding challenge.
Herein, we successfully emulate a free-space HDQKD system and protocol based on two mutually unbiased bases (MUBs) of OAM states, encoded on (Alice) and decoded from (Bob), single photons emitted from a single gQD. The encoding and decoding are done using two SLMs. We demonstrate experimentally secure qudit transmission exceeding one secure bit per photon, thus already surpassing the traditional two-dimensional QKD capacity.
2 Experimental concept
In order to implement an HDQKD protocol using OAM imprinted on single photons, we choose two MUBs based on OAM states, each with dimension . The first basis, MUB1, consists of three states with an azimuthal phase having quantum numbers , respectively, and a Gaussian intensity profile. The second basis, MUB2, consists of three mutually orthogonal states, , each is a linear combination of the states of the first basis, chosen such that , as is detailed in table 1.
2.1 Experimental setup and SPS characterization
We start by characterizing the gQD-based SPS. Fig. 1C shows the measured emission decay and spectrum of the single gQD (on a glass substrate) under pulsed laser excitation (405nm, 2MHz). The radiative time trace is well fitted to a bi-exponent decay, corresponding to the biexciton-exciton cascaded emission. To mitigate the effects of more than one photon per pulse due to a radiative biexciton-exciton emission, a temporal filtering techniques has been applied to the the gQD SPS [50, 51]improving the single photon purity, as is evident in second-order correlation measurement presented in Fig. 1D. After filtering of we get including the correlated noise of the detector. It is important to note that this already high single photon purity of gQDs at room temperatures can be greatly improved by applying simple photon purification methods, with a demonstrated photon purity , which means a two-photon probability , limited by detector dark counts [49]. This very low value of emphasizes the suitability of CdSe/CdS gQDs as excellent SPSs for quantum communication applications.
) | |
A schematic description of HDQKD emulation experiment is shown in Fig. 1B. The photons emitted from the gQD were collected using a high numerical aperture (NA 0.9) objective lens (Olympus MPLFLN100xBD). Subsequently, the reflected laser radiation was filtered out by a dichroic mirror (DM), and the collected photons were then linearly polarized using a polarizing beam splitter (PBS).
The first SLM (Alice) (phase-only Holoeye Pluto - NIR-011), was then programmed to encode any of the six states in table 1 on the photon’s spatial mode. The states of MUB1 are directly encoded using the phase-only SLM by applying the required helical phase mask. Since the states of MUB2 are suppositions of OAM modes, their encoding requires amplitude and phase modulation. Nonetheless, we approximate these states by states with the same phase profile and a Gaussian amplitude (see SM 1A and 1B).
A 4f imaging setup was employed to image SLM-Alice onto a second SLM-Bob (with a total distance of between the two SLMs), allowing for the seamless transmission of the encoded information. SLM-Bob was programmed to decode the information by applying the complex-conjugated phases of the states of MUB1 and the phase-only approximated states of MUB2 [54]. The overlap of the states encoded by Alice and decoded by Bob is proportional to the probability of detecting the photon on the optical axis at the far-field of the SLMs. It was measured by placing single-mode fiber coupled to a single photon avalanche photodiode (SPAD) at the focal plane of a lens (L3) placed after SLM-B. A non-polarizing beam splitter (BS), placed between the lens and the fiber, probabilistically directs some of the photons to an optical analysis setup consisting of a Hanbury Brown and Twiss (HBT) setup, a spectrometer, and sCMOS camera, all placed at the same plane as the single mode fiber.
3 Results
3.1 Imaging of the spatial mode of photons after decoding
The first part of the emulation experiment involved imaging the photons encoded by Alice and decoded by Bob using a high-resolution camera. Each image is acquired by a long exposure of 60 seconds. The resulting matrix, with the columns representing the modes selected by Alice and the rows are modes Alice, is presented in (fig Fig. 2). The modes displayed at the perimeter of the image are the calculated modes of Table 1.
As can be clearly seen, the main diagonal of the matrix results in an almost perfect Gaussian mode at the center of the image, indicating a situation where Alice and Bob decided to encode and decode in the same basis and the same mode. Importantly, considering imaging of the decoded photons onto an SMF, the diagonal elements predict an optimal coupling efficiency. The off-diagonal elements in the two diagonal blocks, all have near-zero intensity at their center. Therefore imaging this mode onto an SMF, will result in minimal, ideally zero, coupling efficiency. This emulates the situation where Bob selected the correct basis but the wrong element. The off-axis blocks, which represent the cases where Bob and Alice have selected different MUBs, are hard to interpret just by looking at the image. A clearer understanding can be gained from an actual projection of the resulting modes onto an SMF (Section 3.2)
3.2 Projection measurement into a single mode fiber
To demonstrate a full HDQKD decoding system at Bob’s side, we conducted single photon projection measurements by imaging the decoded photons after SLM-Bob onto an SMF connected to a SPAD.The results of these measurements are presented in Fig. 3A. Here we present the SPAD counts at each configuration of SLM-Alice and SLM-Bob, normalized such that each column in each 3x3 block sums to 1.Consistent with our camera imaging results, the diagonal elements exhibit a nearly perfect projection of , while a very low projection of is measured in all the off-diagonal elements. In the off-diagonal blocks, a nearly uniform projection of around is observed, which is expected for measuring in a MUB with , as explained above: a measurement in the wrong basis should yield a projection of , thus giving no information.
Next, based on the measurement results, we extract the projected secure key rate of our HDQKD emulation experiment. The secure key rate per photon is a critical metric for evaluating the efficiency of any QKD system. It quantifies the amount of secure key generated per detected photon, thus quantifying the performance of the QKD system.Theoretically, the rate at which secret key bits are generated per sifted photon, denoted as the secure key rate , is defined as [55]:
(1) |
where and are the quantum bit error rates of MUB1 and MUB2 respectively and is the -dimensional Shannon entropy.In traditional QKD systems with , the secure key rate per photon is inherently limited to . However, as can be seen from Eq. 1, a HDQKD with can reach in a noiseless system.The theoretical prediction for as a function of the bit error rate for and are plotted by the dotted and full lines in Fig. 3B, respectively.
To calculate the bit error rate of our system, we compute the average deviation from theoretical expectations across the diagonal blocks of Fig. 3A, which assumes a constant noise, since in our system it arises mostly from the dark noise of the detectors. This analysis yields a bit error rate of for MUB1 and for MUB2. Using Eq.(1), we find . This is a dramatic improvement over the achievable secure bit rate of QKD system having the same quantum error rate (Fig: 3B). We note that is advantageous even in the presence of large system noise, as the maximal tolerated noise is significantly higher, 15.8% compared with 11%, as seen from Fig 3B. This underscores the superior performance and robustness of HDQKD protocols in the face of noise challenges. We note that unlike bit error rate extracted form the diagonal blocks, the errors in the off-diagonal blocks arises mostly from the imperfection in the decoded modes resulting from our phase-only approximation (Fig. S1).
4 Discussion
Our experimental demonstration establishes the feasibility of utilizing a high radiative quantum yield, room-temperature gQD as a compact SPS for high-dimensional quantum key distribution. Here, we used a bare gQD, which is limited in its photon emission rate due to its inherent radiative lifetime, and in the photon collection efficiency, due to the isotropic emission pattern. In recent years, we have shown that both these limitations can be greatly improved by coupling these gQDs to a hybrid metal-dielectric antenna consisting of a nanocone resonator surrounded by a circular Bragg bullseye antenna [50, 51, 56, 57]. These SPS devices showed both record high photon directionality and collection efficiency, together with a sub-nanosecond emission lifetime, enabling a GHz rate of single photons from a room-temperature source. With the recently demonstrated single-photon purification technique yielding negligible two-photon events [49], these ultrabright sources combined with the HDQKD scheme shown here will result in much higher bit rates and much lower quantum bit error rates leading to new and exciting opportunities for robust, compact and fast quantum encryption systems based on deterministic photon sources. Furthermore, an added ability to position several gQDs with different emission wavelengths on the same nano-antenna could enable encoding HD qudits simultaneously on distinguishable photons, which can be used for distributing a common secret key in a quantum network from a single SPS device.
To fully leverage the potential of gDS for generating single photons at a GHz rate for HDQKD, faster encoding and decoding schemes are essential. High-dimensional encoding can be achieved using a fast optical switch to route photons through static phase plates [11, 58], while efficient decoding can be achieved with mode-sorters [59, 60, 61, 62] or multi-plane light converters [63, 64], focusing each OAM and MUB state to a separate single photon detector. Integrating gDS with these technologies opens the door to realizing QKD systems with unprecedented performance over noisy links.
\bmsection
Funding
This research was supported by the Quantum Communication Consortium of the Israeli Innovation Authority and the Zuckerman STEM Leadership Program.\bmsectionAcknowledgmentsThe gQD synthesis was performed at the Center for Integrated Nanotechnologies (CINT), a Nanoscale Science Research Center and User Facility operated for the U.S. Department of Energy (DOE) Office of Science. E.G.B. was funded by CINT. J.A.H. acknowledges funding through the U.S. DOE, Office of Science, Office of Advanced Scientific Computing Research, Quantum Internet to Accelerate Scientific Discovery Program.
\bmsection
DisclosuresThe authors declare no conflicts of interest.
\bmsection
Data AvailabilityData underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.
References
- [1]D.Bruß, \JournalTitlePhysical Review Letters 81, 3018 (1998).
- [2]N.J. Cerf, M.Bourennane, A.Karlsson, and N.Gisin, \JournalTitlePhysical review letters 88, 127902 (2002).
- [3]H.Bechmann-Pasquinucci and A.Peres, \JournalTitlePhysical Review Letters 85, 3313 (2000).
- [4]S.Walborn, D.Lemelle, M.Almeida, and P.S. Ribeiro, \JournalTitlePhysical review letters 96, 090501 (2006).
- [5]S.Etcheverry, G.Cañas, E.Gómez, etal., \JournalTitleScientific reports 3, 2316 (2013).
- [6]M.Mirhosseini, O.S. Magaña-Loaiza, M.N. O’Sullivan, etal., \JournalTitleNew Journal of Physics 17, 033033 (2015).
- [7]Y.Ding, D.Bacco, K.Dalgaard, etal., \JournalTitlenpj Quantum Information 3, 25 (2017).
- [8]A.Sit, F.Bouchard, R.Fickler, etal., \JournalTitleOptica 4, 1006 (2017).
- [9]F.Bouchard, R.Fickler, R.W. Boyd, and E.Karimi, \JournalTitleScience advances 3, e1601915 (2017).
- [10]F.Bouchard, K.Heshami, D.England, etal., \JournalTitleQuantum 2, 111 (2018).
- [11]D.Cozzolino, D.Bacco, B.DaLio, etal., \JournalTitlePhysical Review Applied 11, 064058 (2019).
- [12]T.B.H. Tentrup, W.Luiten, R.v.d. Meer, etal., \JournalTitleNew journal of physics 21, 123044 (2019).
- [13]Y.Zhou, M.Mirhosseini, S.Oliver, etal., \JournalTitleOptics express 27, 10383 (2019).
- [14]E.Otte, I.Nape, C.Rosales-Guzmán, etal., \JournalTitleJOSA B 37, A309 (2020).
- [15]B.DaLio, D.Cozzolino, N.Biagi, etal., \JournalTitlenpj Quantum Information 7, 63 (2021).
- [16]X.-M. Hu, C.Zhang, Y.Guo, etal., \JournalTitlePhysical Review Letters 127, 110505 (2021).
- [17]E.A. Ortega, K.Dovzhik, J.Fuenzalida, etal., \JournalTitlePRX Quantum 2, 040356 (2021).
- [18]M.Stasiuk, F.Hufnagel, X.Gao, etal., \JournalTitleQuantum 7, 1207 (2023).
- [19]O.Lib, K.Sulimany, M.Ben-Or, and Y.Bromberg, \JournalTitlearXiv preprint arXiv:2403.04210 (2024).
- [20]N.T. Islam, C.C.W. Lim, C.Cahall, etal., \JournalTitleScience advances 3, e1701491 (2017).
- [21]C.Lee, D.Bunandar, Z.Zhang, etal., \JournalTitleOptics express 27, 17539 (2019).
- [22]I.Vagniluca, B.DaLio, D.Rusca, etal., \JournalTitlePhysical Review Applied 14, 014051 (2020).
- [23]T.Ikuta, S.Akibue, Y.Yonezu, etal., \JournalTitlePhysical Review Research 4, L042007 (2022).
- [24]J.C. Chapman, C.C. Lim, and P.G. Kwiat, \JournalTitlePhysical Review Applied 18, 044027 (2022).
- [25]K.Sulimany, R.Dudkiewicz, S.Korenblit, etal., \JournalTitlearXiv preprint arXiv:2105.04733 (2021).
- [26]I.Ali-Khan, C.J. Broadbent, and J.C. Howell, \JournalTitlePhysical review letters 98, 060503 (2007).
- [27]J.Mower, Z.Zhang, P.Desjardins, etal., \JournalTitlePhysical Review A 87, 062322 (2013).
- [28]C.Lee, Z.Zhang, G.R. Steinbrecher, etal., \JournalTitlePhysical Review A 90, 062331 (2014).
- [29]T.Zhong, H.Zhou, R.D. Horansky, etal., \JournalTitleNew Journal of Physics 17, 022002 (2015).
- [30]X.Liu, X.Yao, H.Wang, etal., \JournalTitleApplied Physics Letters 114 (2019).
- [31]F.Bouchard, D.England, P.J. Bustard, etal., \JournalTitlePhysical Review Applied 15, 024027 (2021).
- [32]J.Liu, Z.Lin, D.Liu, etal., \JournalTitleQuantum Science and Technology 9, 015003 (2023).
- [33]L.Bulla, M.Pivoluska, K.Hjorth, etal., \JournalTitlePhysical Review X 13, 021001 (2023).
- [34]K.-C. Chang, M.C. Sarihan, X.Cheng, etal., \JournalTitleQuantum Science and Technology 9, 015018 (2023).
- [35]A.M. Yao and M.J. Padgett, \JournalTitleAdvances in optics and photonics 3, 161 (2011).
- [36]G.Vallone, V.D’Ambrosio, A.Sponselli, etal., \JournalTitlePhysical review letters 113, 060503 (2014).
- [37]S.-K. Liao, W.-Q. Cai, W.-Y. Liu, etal., \JournalTitleNature 549, 43 (2017).
- [38]N.Lütkenhaus and M.Jahma, \JournalTitleNew Journal of Physics 4, 44 (2002).
- [39]V.Scarani, A.Acin, G.Ribordy, and N.Gisin, \JournalTitlePhysical review letters 92, 057901 (2004).
- [40]A.Acin, N.Gisin, and V.Scarani, \JournalTitlePhysical Review A 69, 012309 (2004).
- [41]X.-B. Wang, \JournalTitlePhysical review letters 94, 230503 (2005).
- [42]I.Nape, B.Sephton, P.Ornelas, etal., \JournalTitleAPL Photonics 8 (2023).
- [43]O.Yesharim, S.Pearl, J.Foley-Comer, etal., \JournalTitleScience Advances 9, eade7968 (2023).
- [44]M.Mafu, A.Dudley, S.Goyal, etal., \JournalTitlePhysical Review A 88, 032305 (2013).
- [45]Y.Chen, J.Vela, H.Htoon, etal., \JournalTitleJournal of the American Chemical Society 130, 5026 (2008).
- [46]Y.Ghosh, B.D. Mangum, J.L. Casson, etal., \JournalTitleJournal of the American Chemical Society 134, 9634 (2012).
- [47]N.J. Orfield, S.Majumder, J.R. McBride, etal., \JournalTitleAcs Nano 12, 4206 (2018).
- [48]F.Dawood, J.Wang, P.A. Schulze, etal., \JournalTitleSmall 14, 1801503 (2018).
- [49]H.Abudayyeh, B.Lubotzky, S.Majumder, etal., \JournalTitleACS Photonics 6, 446 (2019).
- [50]H.Abudayyeh, A.Mildner, D.Liran, etal., \JournalTitleAcs Nano 15, 17384 (2021).
- [51]H.Abudayyeh, B.Lubotzky, A.Blake, etal., \JournalTitleAPL Photonics 6, 036109 (2021).
- [52]S.Krishnamurthy, A.Singh, Z.Hu, etal., \JournalTitleACS nano 15, 575 (2020).
- [53]A.M. Dennis, M.R. Buck, F.Wang, etal., \JournalTitleAdvanced Functional Materials 29, 1809111 (2019).
- [54]H.Qassim, F.M. Miatto, J.P. Torres, etal., \JournalTitleJOSA B 31, A20 (2014).
- [55]L.Sheridan and V.Scarani, \JournalTitlePhysical Review A 82, 030301 (2010).
- [56]B.Lubotzky, A.Nazarov, H.Abudayyeh, etal., \JournalTitleNano Letters 24, 640 (2024).
- [57]A.Nazarov, Y.Bloom, B.Lubotzky, etal., \JournalTitlearXiv preprint arXiv:2403.06523 (2024).
- [58]T.Graham, E.Oh, and M.Saffman, \JournalTitleApplied Optics 62, 3242 (2023).
- [59]M.P. Lavery, D.J. Robertson, G.C. Berkhout, etal., \JournalTitleOptics express 20, 2110 (2012).
- [60]M.Mirhosseini, M.Malik, Z.Shi, and R.W. Boyd, \JournalTitleNature communications 4, 2781 (2013).
- [61]S.Lightman, G.Hurvitz, R.Gvishi, and A.Arie, \JournalTitleOptica 4, 605 (2017).
- [62]R.Fickler, F.Bouchard, E.Giese, etal., \JournalTitleJournal of Optics 22, 024001 (2020).
- [63]M.Hiekkamäki and R.Fickler, \JournalTitlePhysical Review Letters 126, 123601 (2021).
- [64]O.Lib, K.Sulimany, and Y.Bromberg, \JournalTitlePhysical Review Applied 18, 014063 (2022).
\bibliographyfullrefs
sample