Phase coherence length in silicon photonic platform

Yang, Yisu; Ma, Yangjin; Guan, Hang; Liu, Yang; Danziger, Steven; Ocheltree, S. L.; Bergman, Keren; Baehr‐Jones, Tom; Hochberg, Michael

doi:10.1364/oe.23.016890

Cited by 51 publications

(19 citation statements)

References 15 publications

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“…The PNP was fabricated in a complimentary metal-oxide semiconductor (CMOS)compatible, silicon photonics process (see Methods for more detail). Waveguide edge roughness results in minor differences in path lengths between the arms of individual RBS unit cells 44 . We eliminated this problem by calibrating the PNP and programming it to implement a known unitary operation (see Supplemental Information for details on calibration).…”

Section: Programmable Nanophotonic Processormentioning

confidence: 99%

Quantum transport simulations in a programmable nanophotonic processor

et al. 2017

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Environmental noise and disorder play a critical role in quantum particle and wave transport in complex media, including solid-state and biological systems. Recent work has predicted that coupling between noisy environments and disordered systems, in which coherent transport has been arrested due to localization effects, could actually enhance transport. Photonic integrated circuits are promising platforms for studying such effects, with a central goal being the development of large systems providing low-loss, high-fidelity control over all parameters of the transport problem. Here, we fully map out the role of static and dynamic disorder in quantum transport using a low-loss, phase-stable, nanophotonic processor consisting of a mesh of 56 generalized beamsplitters programmable on microsecond timescales. Over 85,600 transport experiments, we observe several distinct transport regimes, including environment-enhanced transport in strong, statically disordered systems. Low loss and programmability make this nanophotonic processor a promising platform for many-boson quantum simulation experiments.Quantum walks (QWs), the coherent analogy to classical random walks, have emerged as a useful model for experimental simulations of quantum transport (QT) phenomena in physical systems. QWs have been implemented in platforms including trapped ions 1,2 , ultra-cold atoms 3 , bulk optics 4-8 and integrated photonics 4,9-16 . Integrated photonic implementations are particularly attractive for relatively large coherence lengths, high interferometric visibilities, integration with single-photon sources 17,18 and detectors 19 , and the promise of scaling to many active and reconfigurable components. The role of static and dynamic disorder in the transport of quantum walkers has been of particular interest in the field of quantum simulation 20,21 .Control over static (time-invariant) and dynamic (timevarying) disorder enables studies of fundamentally interesting and potentially useful QT phenomena in discrete-time (DT) QWs. In systems with strong dynamic disorder, illustrated in Fig. 1(a), a quantum walker evolving over T time steps travels a distance proportional to √ T ; the coherent nature of the quantum walker is effectively erased, resulting in classical, diffusive transport characteristics 22,23 . In contrast, a quantum walker (or coherent wave) traversing an ordered system travels a distance proportional to T as a result of coherent interference between superposition amplitudes -a regime known as ballistic transport (see Fig. 1(b)). Perhaps most notably, a quantum walker propagating through a system with strong, static disorder becomes exponentially localized in space and time, inhibiting transport, as illustrated in Fig. 1(c). This QT phenomena is known as Anderson localization 24 and it has been observed in several systems, including optical media [9][10][11]25,26 . For systems in which transport has been arrested due to Anderson localization, it has recently been predicted that adding environmental noise (dynamic disord...

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Section: Programmable Nanophotonic Processormentioning

confidence: 99%

Quantum transport simulations in a programmable nanophotonic processor

et al. 2017

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“…Many optical functions, such as wavelength filtering, depends strongly on the matching of parameters ( e.g ., effective index or coupling coefficient) between components. As in electronics, nearby components are more likely to have matching parameters than components separated over a large distance on the chip . Also, the environment of the components should be similar, as local pattern densities can also affect device parameters .…”

Section: Challenges For An Integrated Photonic Design Flowmentioning

confidence: 99%

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Bogaerts

Chrostowski

2018

Laser & Photonics Reviews

437

230

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Silicon Photonics technology is rapidly maturing as a platform for larger‐scale photonic circuits. As a result, the associated design methodologies are also evolving from component‐oriented design to a more circuit‐oriented design flow, that makes abstraction from the very detailed geometry and enables design on a larger scale. In this paper, the state of this emerging photonic circuit design flow and its synergies with electronic design automation (EDA) are reviewed. The design flow from schematic capture, circuit simulation, layout and verification is covered. The similarities and the differences between photonic and electronic design, and the challenges and opportunities that present themselves in the new photonic design landscape, such as variability analysis, photonic‐electronic co‐simulation and compact model definition are discussed.

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“…In studies focusing on optical scattering losses, the coherence lengths ξ were found to be below 100 µm [30,56]. Such short coherence lengths are not consistent with (1) optically measured wafer-scale geometric disorder [55], (2) measured millimeter-scale optical dephasing lengths [57] nor (3) with the Brillouin resonance broadening observed in silicon waveguides [18,23,58]. Therefore, we suspect the spatial correlator given in equation (7) to contain at least two terms: (1) a fast-disorder term with a coherence length of about 50 nm and (2) a slow-disorder term with a coherence length of about 50 µm.…”

Section: Appendix D: Geometric Disorder and Dephasingmentioning

confidence: 96%

“…Geometric disorder has been studied extensively in nanophotonic circuits [28,30,31,[55][56][57] to understand optical propagation losses. It has also been investigated in the context of Brillouin scattering -where it leads to broadening of the mechanical resonance [18,19,23,58].…”

Section: Appendix D: Geometric Disorder and Dephasingmentioning

confidence: 99%

Optomechanical antennas for on-chip beam-steering

Sarabalis

Laer

2018

Opt. Express

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Rapid and low-power control over the direction of a radiating light field is a major challenge in photonics and a key enabling technology for emerging sensors and free-space communication links. Current approaches based on bulky motorized components are limited by their high cost and power consumption, while on-chip optical phased arrays face challenges in scaling and programmability. Here, we propose a solid-state approach to beam-steering using optomechanical antennas. We combine recent progress in simultaneous control of optical and mechanical waves with remarkable advances in on-chip optical phased arrays to enable low-power and full two-dimensional beam-steering of monochromatic light. We present a design of a silicon photonic system made of photonic-phononic waveguides that achieves 44° field of view with 880 resolvable spots by sweeping the mechanical wavelength with about a milliwatt of mechanical power. Using mechanical waves as nonreciprocal, active gratings allows us to quickly reconfigure the beam direction, beam shape, and the number of beams. It also enables us to distinguish between light that we send and receive.

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Phase coherence length in silicon photonic platform

Cited by 51 publications

References 15 publications

Quantum transport simulations in a programmable nanophotonic processor

Quantum transport simulations in a programmable nanophotonic processor

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Optomechanical antennas for on-chip beam-steering

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