Extracellular release of the ‘differentiation enhancing factor’, a HMG1 protein type, is an early step in murine erythroleukemia cell differentiation

AbstractDifferentiation enhancing factor (DEF) is a 29 kDa protein expressed in murine erythroleukemia (MEL) cells and active in promoting a significant increase in the rate of hexamethylenebisacetamide induced differentiation of these cells. The factor was recently shown to possess an amino acid sequence identical to that reported for one of the HMG1 proteins, designated as ‘amphoterin’ on the basis of its highly dipolar sequence. In the present study, we have expressed DEF cDNA in an E. coli strain and found that the recombinant protein has functional properties identical to those observed with native DEF. Furthermore, we demonstrate that, following MEL cell stimulation with the chemical inducer, DEF is secreted in large amounts in the extracellular medium. In fact, the N-terminal sequence and the partial amino acid sequence of tryptic peptides from the secreted protein correspond to those of DEF isolated from the soluble fraction of resting MEL cells. These results are indicative for an extracellular localization as the site of action of DEF and suggest a novel function for proteins belonging to the HMG1 family. Finally, the early decay of DEF mRNA, in chemical induced MEL cells, support the hypothesis that the involvement of the enhancing factor occurs and is completed in the early phases of cell differentiation

Cutting edge: extracellular high mobility group box-1 protein is a proangiogenic cytokine.

The chromosomal high mobility group box-1 (HMGB1) protein acts as a proinflammatory cytokine when released in the extracellular environment by necrotic and inflammatory cells. In the present study, we show that HMGB1 exerts proangiogenic effects by inducing MAPK ERK1/2 activation, cell proliferation, and chemotaxis in endothelial cells of different origin. Accordingly, HMGB1 stimulates membrane ruffling and repair of a mechanically wounded endothelial cell monolayer and causes endothelial cell sprouting in a three-dimensional fibrin gel. In keeping with its in vitro properties, HMGB1 stimulates neovascularization when applied in vivo on the top of the chicken embryo chorioallantoic membrane whose blood vessels express the HMGB1 receptor for advanced glycation end products (RAGE). Accordingly, RAGE blockade by neutralizing Abs inhibits HMGB1-induced neovascularization in vivo and endothelial cell proliferation and membrane ruffling in vitro. Taken together, the data identify HMGB1/RAGE interaction as a potent proangiogenic stimulus

Spatially resolving amplitude and phase of light with a reconfigurable photonic integrated circuit

Photonic integrated circuits (PICs) play a pivotal role in many applications. Particularly powerful are circuits based on meshes of reconfigurable Mach-Zehnder interferometers as they enable active processing of light. Various possibilities exist to get light into such circuits. Sampling an electromagnetic field distribution with a carefully designed free-space interface is one of them. Here, a reconfigurable PIC is used to optically sample and process free-space beams so as to implement a spatially resolving detector of amplitudes and phases. In order to perform measurements of this kind we develop and experimentally implement a versatile method for the calibration and operation of such integrated photonics based detectors. Our technique works in a wide parameter range, even when running the chip off the design wavelength. Amplitude, phase and polarization sensitive measurements are of enormous importance in modern science and technology, providing a vast range of applications for such detectors

Scalable low-latency optical phase sensor array

Optical phase measurement is critical for many applications, and traditional approaches often suffer from mechanical instability, temporal latency, and computational complexity. In this paper, we describe compact phase sensor arrays based on integrated photonics, which enable accurate and scalable reference-free phase sensing in a few measurement steps. This is achieved by connecting multiple two-port phase sensors into a graph to measure relative phases between neighboring and distant spatial locations. We propose an efficient post-processing algorithm, as well as circuit design rules to reduce random and biased error accumulations. We demonstrate the effectiveness of our system in both simulations and experiments with photonics integrated circuits. The proposed system measures the optical phase directly without the need for external references or spatial light modulators, thus providing significant benefits for applications including microscope imaging and optical phased arrays

All-optical mode unscrambling on a silicon photonic chip

Propagation of light beams through scattering or multimode systems may lead to randomization of the spatial coherence of the light. Although information is not lost, its recovery requires a coherent interferometric reconstruction of the original signals, which have been scrambled into the modes of the scattering system. Here, we show that we can automatically unscramble four optical beams that have been arbitrarily mixed in a multimode waveguide, undoing the scattering and mixing between the spatial modes through a mesh of silicon photonics Mach-Zehnder interferometers. Using embedded transparent detectors and a progressive tuning algorithm, the mesh self-configures automatically and reset itself after significantly perturbing the mixing, without turning off the beams. We demonstrate the recovery of four separate 10 Gbits/s information channels, with residual cross-talk between beams of -20dB. This principle of self-configuring and self-resetting in optical systems should be applicable in a wide range of optical applications.Comment: 23 pages, 10 figure

Programmable photonic circuits

[EN] The growing maturity of integrated photonic technology makes it possible to build increasingly large and complex photonic circuits on the surface of a chip. Today, most of these circuits are designed for a specific application, but the increase in complexity has introduced a generation of photonic circuits that can be programmed using software for a wide variety of functions through a mesh of on-chip waveguides, tunable beam couplers and optical phase shifters. Here we discuss the state of this emerging technology, including recent developments in photonic building blocks and circuit architectures, as well as electronic control and programming strategies. We cover possible applications in linear matrix operations, quantum information processing and microwave photonics, and examine how these generic chips can accelerate the development of future photonic circuits by providing a higher-level platform for prototyping novel optical functionalities without the need for custom chip fabricationBogaerts, W.; Pérez-López, D.; Capmany Francoy, J.; Miller, DAB.; Poon, J.; Englund, D.; Morichetti, F.... (2020). Programmable photonic circuits. Nature. 586(7828):207-216. https://doi.org/10.1038/s41586-020-2764-0S2072165867828Chen, X. et al. The emergence of silicon photonics as a flexible technology platform. Proc. IEEE 106, 2101–2116 (2018).Smit, M., Williams, K. & van der Tol, J. Past, present, and future of InP-based photonic integration. APL Photonics 4, 050901 (2019).Capmany, J. & Perez, D. Programmable Integrated Photonics (Oxford Univ. Press, 2020). The first book on the subject of programmable photonics gives a detailed overview of the fundamental principles, architectures and potential applications.Marpaung, D., Yao, J. & Capmany, J. Integrated microwave photonics. Nat. Photon. 13, 80–90 (2019).Zhuang, L., Roeloffzen, C. G. H., Hoekman, M., Boller, K. & Lowery, A. J. Programmable photonic signal processor chip for radiofrequency applications. Optica 2, 854–859 (2015).Shen, Y. et al. Deep learning with coherent nanophotonic circuits. Nat. Photon. 11, 441–446 (2017).Harris, N. C. et al. Linear programmable nanophotonic processors. Optica 5, 1623–1631 (2018). One of the largest-scale demonstrations of a programmable photonic circuit, using a silicon photonics forward-only mesh that maps 26 input modes onto 26 output modes, for use in deep learning and quantum information processing.Miller, D. A. B. Self-configuring universal linear optical component. Photon. Res. 1, 1–15 (2013). This foundational paper in the field of programmable photonics is the first to bring together waveguide meshes with self-configuration algorithms that require no active computation, including the concept of the self-aligning beam coupler.Carolan, J. et al. Universal linear optics. Science 349, 711–716 (2015).Harris, N. C. et al. Large-scale quantum photonic circuits in silicon. Nanophotonics 5, 456–468 (2016).Notaros, J. et al. Programmable dispersion on a photonic integrated circuit for classical and quantum applications. Opt. Express 25, 21275–21285 (2017).Clements, W. R., Humphreys, P. C., Metcalf, B. J., Kolthammer, W. S. & Walmsley, I. A. An optimal design for universal multiport interferometers. Optica 12, 1460–1465 (2016).Perez-Lopez, D. Programmable integrated silicon photonics waveguide meshes: optimized designs and control algorithms. IEEE J. Sel. Top. Quantum Electron. 26, 8301312 (2020).Ribeiro, A., Ruocco, A., Vanacker, L. & Bogaerts, W. Demonstration of a 4×4-port universal linear circuit. Optica 3, 1348–1357 (2016).Harris, N. C. et al. Quantum transport simulations in a programmable nanophotonic processor. Nat. Photon. 11, 447–452 (2017).Mennea, P. L. et al. Modular linear optical circuits. Optica 5, 1087–1090 (2018).Taballione, C. et al. 8×8 programmable quantum photonic processor based on silicon nitride waveguides. In Frontiers in Optics, JTu3A.58 (Optical Society of America, 2018). A demonstration of an 8 × 8 forward-only programmable linear circuit in silicon nitride that benefits from the notably low optical losses of this material and is therefore attractive for linear quantum operations on single photons.Perez, D. et al. Silicon photonics rectangular universal interferometer. Laser Photonics Rev. 11, 1700219 (2017).Xie, Y. et al. Programmable optical processor chips: toward photonic RF filters with DSP-level flexibility and MHz-band selectivity. Nanophotonics 7, 421–454 (2017). A comprehensive overview of the various ways in which a programmable photonic circuit can be used to process microwave signals, and on how this type of circuit is transitioning from custom ASPICs to generic programmable PICs.Hall, T. J. & Hasan, M. Universal discrete Fourier optics RF photonic integrated circuit architecture. Opt. Express 24, 7600–7610 (2016).Dyakonov, I. V. et al. Reconfigurable photonics on a glass chip. Phys. Rev. Appl. 10, 044048 (2018).Shokraneh, F., Geoffroy-Gagnon, S., Nezami, M. S. & Liboiron-Ladouceur, O. A single layer neural network implemented by a 4×4 MZI-based optical processor. IEEE Photonics J. 11, 4501612 (2019).Lu, L., Zhou, L. & Chen, J. Programmable SCOW mesh silicon photonic processor for linear unitary operator. Micromachines 10, 646 (2019).Qiang, X. et al. Large-scale silicon quantum photonics implementing arbitrary two-qubit processing. Nat. Photon. 12, 534–539 (2018).Wang, J. et al. Multidimensional quantum entanglement with large-scale integrated optics. Science 360, 285–291 (2018).Schaeff, C., Polster, R., Huber, M., Ramelow, S. & Zeilinger, A. Experimental access to higher-dimensional entangled quantum systems using integrated optics. Optica 2, 523–529 (2015).Shadbolt, P. J. et al. Generating, manipulating and measuring entanglement and mixture with a reconfigurable photonic circuit. Nat. Photon. 6, 45–49 (2012).Miller, D. A. B. Waves, modes, communications, and optics: a tutorial. Adv. Opt. Photonics 11, 679 (2019).Miller, D. A. B. Self-aligning universal beam coupler. Opt. Express 21, 6360–6370 (2013).Miller, D. A. B. Perfect optics with imperfect components. Optica 2, 747–750 (2015).Annoni, A. et al. Unscrambling light—automatically undoing strong mixing between modes. Light Sci. Appl. 6, e17110 (2017). Early demonstration of a forward-only programmable mesh used to unmix different modes in a waveguide, implementing integrated transparent detectors that measure the light intensity in the waveguide without inducing additional optical loss.Pai, S. et al. Parallel programming of an arbitrary feedforward photonic network. IEEE J. Sel. Top. Quantum Electron. 25, 6100813 (2020).Reck, M., Zeilinger, A., Bernstein, H. J. & Bertani, P. Experimental realization of any discrete unitary operator. Phys. Rev. Lett. 73, 58–61 (1994).Wang, M., Alves, A. R., Xing, Y. & Bogaerts, W. Tolerant, broadband tunable 2×2 coupler circuit. Opt. Express 28, 5555–5566 (2020).Pérez-López, D., Gutierrez, A. M., Sánchez, E., DasMahapatra, P. & Capmany, J. Integrated photonic tunable basic units using dual-drive directional couplers. Opt. Express 27, 38071 (2019).Choutagunta, K., Roberts, I., Miller, D. A. B. & Kahn, J. M. Adapting Mach–Zehnder mesh equalizers in direct-detection mode-division-multiplexed links. J. Light. Technol. 38, 723–735 (2020).Miller, D. A. B. Analyzing and generating multimode optical fields using self-configuring networks. Optica 7, 794–801 (2020).Morizur, J.-F. et al. Programmable unitary spatial mode manipulation. J. Opt. Soc. Am. A 27, 2524 (2010).Labroille, G. et al. Efficient and mode selective spatial mode multiplexer based on multi-plane light conversion. Opt. Express 22, 15599–15607 (2014).Tanomura, R., Tang, R., Ghosh, S., Tanemura, T. & Nakano, T. Robust integrated optical unitary converter using multiport directional couplers. J. Light. Technol. 38, 60–66 (2020).Miller, D. A. B. Setting up meshes of interferometers – reversed local light interference method. Opt. Express 25, 29233 (2017).Li, H. W. et al. Calibration and high fidelity measurement of a quantum photonic chip. New J. Phys. 15, 063017 (2013).Cong, G. et al. Arbitrary reconfiguration of universal silicon photonic circuits by bacteria foraging algorithm to achieve reconfigurable photonic digital-to-analog conversion. Opt. Express 27, 24914 (2019).Pérez, D. et al. Multipurpose silicon photonics signal processor core. Nat. Commun. 8, 1–9 (2017). The first experimental demonstration of a recirculating waveguide mesh with seven unit cells that can be programmed to perform more than a hundred different functions.Pérez, D., Gasulla, I. & Capmany, J. Field-programmable photonic arrays. Opt. Express 26, 27265 (2018).Rahim, A., Spuesens, T., Baets, R. & Bogaerts, W. Open-access silicon photonics: current status and emerging initiatives. Proc. IEEE 106, 2313–2330 (2018).Munoz, P. et al. Foundry developments toward silicon nitride photonics from visible to the mid-infrared. IEEE J. Sel. Top. Quantum Electron. 25, 8200513 (2019).Teng, M. et al. Miniaturized silicon photonics devices for integrated optical signal processors. J. Light. Technol. 38, 6–17 (2020).Sacher, W. D. et al. Monolithically integrated multilayer silicon nitride-on-silicon waveguide platforms for 3-D photonic circuits and devices. Proc. IEEE 106, 2232–2245 (2018).Baudot, C. et al. Developments in 300mm silicon photonics using traditional CMOS fabrication methods and materials. In 2017 IEEE Int. Electron Devices Meeting, 765–768 (IEEE, 2017).Fahrenkopf, N. M. et al. The AIM photonics MPW: a highly accessible cutting edge technology for rapid prototyping of photonic integrated circuits. IEEE J. Sel. Top. Quantum Electron. 25, 8201406 (2019).Chiles, J. et al. Multi-planar amorphous silicon photonics with compact interplanar couplers, cross talk mitigation, and low crossing loss. APL Photonics 2, 116101 (2017).Van Campenhout, J., Green, W. M. J., Assefa, S. & Vlasov, Y. A. Integrated NiSi waveguide heaters for CMOS-compatible silicon thermo-optic devices. Opt. Lett. 35, 1013–1015 (2010).Masood, A. et al. Comparison of heater architectures for thermal control of silicon photonic circuits. In Proc. 10th Int. Conference on Group IV Photonics 83–84 (IEEE, 2013).Milanizadeh, M., Aguiar, D., Melloni, A. & Morichetti, F. Canceling thermal cross-talk effects in photonic integrated circuits. J. Light. Technol. 37, 1325–1332 (2019).Soref, R. A. & Bennett, B. R. Electrooptical effects in silicon. IEEE J. Quantum Electron. 23, 123–129 (1987).Reed, G. T., Mashanovich, G., Gardes, F. Y. & Thomson, D. J. Silicon optical modulators. Nat. Photon. 4, 518–526 (2010); corrigendum 4, 660 (2010).Memon, F. A. et al. Silicon oxycarbide platform for integrated photonics. J. Light. Technol. 38, 784–791 (2020).Jin, W., Polcawich, R. G., Morton, P. A. & Bowers, J. E. Piezoelectrically tuned silicon nitride ring resonator. Opt. Express 26, 3174–3187 (2018).Hosseini, N. et al. Stress-optic modulator in TriPleX platform using a piezoelectric lead zirconate titanate (PZT) thin film. Opt. Express 23, 14018 (2015).De Cort, W., Beeckman, J., Claes, T., Neyts, K. & Baets, R. Wide tuning of silicon-on-insulator ring resonators with a liquid crystal cladding. Opt. Lett. 36, 3876–3878 (2011).Xing, Y. et al. Digitally controlled phase shifter using an SOI slot waveguide with liquid crystal infiltration. IEEE Photonics Technol. Lett. 27, 1269–1272 (2015).Abel, S. et al. Large Pockels effect in micro- and nanostructured barium titanate integrated on silicon. Nat. Mater. 18, 42–47 (2019).Desiatov, B., Shams-Ansari, A., Zhang, M., Wang, C. & Lončar, M. Ultra-low-loss integrated visible photonics using thin-film lithium niobate. Optica 6, 380 (2019).Alexander, K. et al. Nanophotonic Pockels modulators on a silicon nitride platform. Nat. Commun. 9, 3444 (2018).Leuthold, J. et al. Silicon-organic hybrid electro-optical devices. IEEE J. Sel. Top. Quantum Electron. 19, 114–126 (2013).Errando-Herranz, C. et al. MEMS for photonic integrated circuits. IEEE J. Sel. Top. Quantum Electron. 26, 8200916 (2020).Quack, N. et al. MEMS-enabled silicon photonic integrated devices and circuits. IEEE J. Quantum Electron. 56, 8400210 (2020).Hoessbacher, C. et al. The plasmonic memristor: a latching optical switch. Optica 1, 198 (2014).Ríos, C. et al. Integrated all-photonic non-volatile multi-level memory. Nat. Photon. 9, 725–732 (2015).Wuttig, M., Bhaskaran, H. & Taubner, T. Phase-change materials for non-volatile photonic applications. Nat. Photon. 11, 465–476 (2017).Morichetti, F. et al. Non-invasive on-chip light observation by contactless waveguide conductivity monitoring. IEEE J. Sel. Top. Quantum Electron. 20, 292–301 (2014).Jayatilleka, H., Shoman, H., Chrostowski, L. & Shekhar, S. Photoconductive heaters enable control of large-scale silicon photonic ring resonator circuits. Optica 6, 84–91 (2019).Grillanda, S. et al. Non-invasive monitoring and control in silicon photonics using CMOS integrated electronics. Optica 1, 129 (2014).Annoni, A. et al. Automated routing and control of silicon photonic switch fabrics. IEEE J. Sel. Top. Quantum Electron. 22, 169–176 (2016).Dumais, P. et al. Silicon photonic switch subsystem with 900 monolithically integrated calibration photodiodes and 64-fiber package. J. Light. Technol. 36, 233–238 (2018).Chen, H., Luo, X. & Poon, A. W. Cavity-enhanced photocurrent generation by 1.55 μm wavelengths linear absorption in a p–i–n diode embedded silicon microring resonator. Appl. Phys. Lett. 95, 171111 (2009).Ribeiro, A. & Bogaerts, W. Digitally controlled multiplexed silicon photonics phase shifter using heaters with integrated diodes. Opt. Express 25, 29778 (2017).Zimmermann, L. et al. BiCMOS silicon photonics platform. In Optical Fiber Communication Conference Th4E-5 (Optical Society of America, 2015).Orcutt, J. S. et al. Nanophotonic integration in state-of-the-art CMOS foundries. Opt. Express 19, 2335–2346 (2011).Stojanović, V. et al. Monolithic silicon-photonic platforms in state-of-the-art CMOS SOI processes. Opt. Express 26, 13106 (2018).Carroll, L. et al. Photonic packaging: transforming silicon photonic integrated circuits into photonic devices. Appl. Sci. 6, 426 (2016).Patterson, D., De Sousa, I. & Archard, L.-M. The future of packaging with silicon photonics. Chip Scale Rev. 21, 1–10 (2017).Ribeiro, A., Declercq, S., Khan, U., Wang, M. & Van Iseghem, L. Column-row addressing of thermo-optic phase shifters for controlling large silicon photonic circuits. IEEE J. Sel. Top. Quantum Electron. 26, 6100708 (2020).Pantouvaki, M. et al. Active components for 50 Gb/s NRZ-OOK optical interconnects in a silicon photonics platform. J. Light. Technol. 35, 631–638 (2017).Chen, H. et al. 100-Gbps RZ data reception in 67-GHz Si-contacted germanium waveguide p-i-n photodetectors. J. Light. Technol. 35, 722–726 (2017).Pérez, D., Gasulla, I. & Capmany, J. Toward programmable microwave photonics processors. J. Light. Technol. 36, 519–532 (2018).Zoldak, M., Halmo, L., Turkiewicz, J. P., Schumann, S. & Henker, R. Packaging of ultra-high speed optical fiber data interconnects. In Opt. Fibers and Their Applications 2017 10325, 103250R (International Society for Optics and Photonics, 2017).Willner, A. E., Khaleghi, S., Chitgarha, M. R. & Yilmaz, O. F. All-optical signal processing. J. Light. Technol. 32, 660–680 (2014).Ramirez, J. M. et al. III–V-on-silicon integration: from hybrid devices to heterogeneous photonic integrated circuits. IEEE J. Sel. Top. Quantum Electron. 26, 6100213 (2020).Liu, A. Y. & Bowers, J. Photonic integration with epitaxial III–V on silicon. IEEE J. Sel. Top. Quantum Electron. 24, 6000412 (2018).Zhang, J. et al. Transfer-printing-based integration of a III–V-on-silicon distributed feedback laser. Opt. Express 26, 8821–8830 (2018).Thiessen, T. et al. Back-side-on-BOX heterogeneously integrated III–V-on-silicon O-band distributed feedback lasers. J. Light. Technol. 38, 3000–3006 (2020).López, A., Perez, D., DasMahapatra, P. & Capmany, J. Auto-routing algorithm for field-programmable photonic gate arrays. Opt. Express 28, 737–752 (2020).Chen, X., Stroobant, P., Pickavet, M. & Bogaerts, W. Graph representations for programmable photonic circuits. J. Light. Technol. https://ieeexplore.ieee.org/document/9056549 (2020).Zand, I. & Bogaerts, W. Effects of coupling and phase imperfections in programmable photonic hexagonal waveguide meshes. Photon. Res. 8, 211–218 (2020).Bogaerts, W. & Rahim, A. Programmable photonics: an opportunity for an accessible large-volume PIC ecosystem. IEEE J. Sel. Top. Quantum Electron. 26, 1–17 (2020). A simple techno-economic analysis of how general-purpose programmable photonic circuits can reduce the cost of prototyping photonics applications.Dubrovsky, M., Ball, M. & Penkovsky, B. Optical proof of work. Preprint at https://arxiv.org/abs/1911.05193 (2019).Paquot, Y., Schroeder, J., Pelusi, M. D. & Eggleton, B. J. All-optical hash code generation and verification for low latency communications. Opt. Express 21, 23873 (2013).Wang, J., Sciarrino, F., Laing, A. & Thompson, M. G. Integrated photonic quantum technologies. Nat. Photon. 14, 273–284 (2019).Norberg, E. J., Guzzon, R. S., Parker, J. S., Johansson, L. A. & Coldren, L. A. Programmable photonic microwave filters monolithically integrated in InP-InGaAsP. J. Light. Technol. 29, 1611–1619 (2011).Wang, J. et al. Reconfigurable radio-frequency arbitrary waveforms synthesized in a silicon photonic chip. Nat. Commun. 6, 5957 (2015).Burla, M. et al. On-chip CMOS compatible reconfigurable optical delay line with separate carrier tuning for microwave photonic signal processing. Opt. Express 19, 21475 (2011).Liu, L. et al. Photonic measurement of microwave frequency using a silicon microdisk resonator. Opt. Commun. 335, 266–270 (2015).Perez-Lopez, D., Sanchez, E. & Capmany, J. Programmable true-time delay lines using integrated waveguide meshes. J. Light. Technol. 36, 4591–4601 2018.Novak, D. et al. Radio-over-fiber technologies for emerging wireless systems. IEEE J. Quantum Electron. 52, 0600311 (2016).Behroozpour, B., Sandborn, P. A. M., Wu, M. C. & Boser, B. E. Lidar system architectures and circuits. IEEE Commun. Mag. 55, 135–142 (2017).Heck, M. J. R. Highly integrated optical phased arrays: photonic integrated circuits for optical beam shaping and beam steering. Nanophotonics 6, 93–107 (2017).Van Acoleyen, K. Efficient light collection and direction-of-arrival estimation using a photonic integrated circuit. Photonics 24, 933–935 (2012).Miller, D. A. B. Establishing optimal wave communication channels automatically. J. Light. Technol. 31, 3987–3994 (2013).Luan, E., Shoman, H., Ratner, D. M., Cheung, K. C. & Chrostowski, L. Silicon photonic biosensors using label-free detection. Sensors 18, 3519 (2018).Subramanian, A. Z. et al. Silicon and silicon nitride photonic circuits for spectroscopic sensing on-a-chip. Photon. Res. 3, B47–B59 (2015).Li, Y. et al. Six-beam homodyne laser Doppler vibrometry based on silicon photonics technology. Opt. Express 26, 3638 (2018).Trimberger, S. M. Three ages of FPGAs: a retrospective on the first thirty years of FPGA technology. Proc. IEEE 103, 318–331 (2015).Mohomed, I. & Dutta, P. The age of DIY and dawn of the maker movement. Mob. Comput. Commun. Rev. 18, 41–43 (2015).Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 7, 79 (2018).Arute, F. et al. Quantum supremacy using a programmable superconducting processor. Nature 574, 505–510 (2019).Biamonte, J. et al. Quantum machine learning. Nature 549, 195–202 (2017).Steinbrecher, G. R., Olson, J. P., Englund, D. & Carolan, J. Quantum optical neural networks. npj Quantum Inf. 5, 60 (2019).Miatto, F. M., Epping, M. & Lütkenhaus, N. Hamiltonians for one-way quantum repeaters. Quantum 2, 75 (2018)

Establishing Multiple Chip-to-Chip Orthogonal Free-Space Optical Channels using Programmable Silicon Photonics Meshes

Two silicon photonics programmable meshes of Mach-Zehnder interferometers are used to automatically establish chip-to-chip orthogonal free-space communication links. Optimum channels with mutual isolation of more than 30dB are found even in case of a misaligned link or in presence of an obstacle in the path