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Maria Carolina Volpato

Publications and source records attributed to Maria Carolina Volpato.

6 recordsLinked to original sources

Automated Vector-Scanning Spectroscopy for Large-Scale Characterization of Single Quantum Emitters

The inherent spatial randomness and broad spectral heterogeneity of epitaxial quantum dots (QDs) -- one of the most mature classes of solid-state quantum emitters -- remains a major obstacle to their scalable deployment in integrated photonic quantum technologies. Overcoming this challenge requires deterministic fabrication strategies capable of precisely aligning nanophotonic structures with high-quality emitters, which in turn demands efficient and automated single-QD characterization. Despite substantial progress in optical measurement techniques, a platform capable of autonomous, data-efficient, and sufficiently versatile characterization of single quantum dots at the chip scale remains lacking. Here, we introduce an automated cryogenic measurement platform that combines wide-field photoluminescence imaging with vector-stage-scanning confocal spectroscopy to enable high-throughput, chip-scale targeted optical characterization of individual QDs. Using this platform, we automatically acquire photoluminescence data from thousands of GaAs/AlGaAs QDs on a single chip. We demonstrate how this extensive dataset enables identification of high-performance emitters for future deterministic device fabrication, while simultaneously revealing statistical trends across the QD ensemble. By uniting data-efficient targeted measurements with scalable automation, our platform establishes a foundation for large-scale quantum photonic integration and the high throughput characterization framework needed to accelerate materials optimization.

physics.optics↗

Cryogenic Graphene-Based Phase Modulators for Quantum Information Processing

Electro-optic modulators are key components for photonic quantum computing, particularly in fully cryovenic integrated platforms where low loss and compactness are critical. We present a systematic theoretical investigation of compact dual-layer graphene (DSLG) electro-optic phase modulators integrated on silicon nitride waveguides, with emphasis on cryogenic operation. By combining electromagnetic simulations with a physically consistent description of graphene conductivity based on the Kybo formalism, we analyze the interplay between electrostatic tuning, optical mode confinement, and material-dependent losses. We show that cryogenic operation enhances device performance by sharpening the Fermi-Dirac distribution, enabling access to the Pauli-blocking regime at lower Fermi levels and reducing the required modulation length. Through optimization of the waveguide geometry, dielectric spacer thickness and permittivity, and graphene quality, we identify regimes that simultaneously minimize insertion loss and device footprint under realistic voltage constraints. The optimized designs achieve near-pure phase modulation with insertion losses below 0.3 dB and modulation lengths below 50 um at 10 K, while maintaining GHz-scale bandwidths. These results provide quantitative design guidelines for low-loss, compact, cryogenic graphene phase modulators for scalable integrated quantum photonics.

physics.optics↗

Estimating the electrical energy cost of performing arbitrary state preparation using qubits and qudits in integrated photonic circuits

As quantum photonic hardware scales toward computationally relevant sizes, energy consumption has emerged as a key constraint. Programmable photonic integrated circuits, composed of interferometer meshes with tunable phase modulators, provide a flexible platform for quantum information processing using both qubits and qudits. In this work, we analyze the energetic cost of such devices by focusing on arbitrary quantum state preparation, a resource-intensive task central to quantum simulation and information processing. Using a common hardware, we benchmark qudit-based implementations, gate-based quantum computation, and measurement-based quantum computation. We find that while qudit encodings are attractive at small scale, their footprint and reconfiguration costs grow rapidly with system size, whereas qubit-based approaches incur significant overhead from entangling operations, feedforward, and reprogramming. Across all paradigms, scaling beyond a few tens of qubits renders either the energy consumption or the total preparation time prohibitive on fully programmable PICs. Our results highlight the need for optimized, task-specific photonic architectures to enable energy-efficient scaling.

quant-ph↗

1T'-MoTe$_2$ as an integrated saturable absorber for photonic machine learning

We investigate the saturable absorption behavior of a 1T'-MoTe$_2$ monolayer integrated with a silicon nitride waveguide for applications in photonic neural networks. Using experimental transmission measurements and theoretical modeling, we characterize the nonlinear response of the material. Our model, incorporating quasi-Fermi level separation and carrier dynamics, successfully explains these behaviors and predicts the material's absorption dependence on the carrier density. Furthermore, we demonstrate a coupling efficiency of up to 20% between the 1T'-MoTe$_2$ monolayer and the silicon nitride waveguide, with saturation achievable at input powers as low as a few uW. These results suggest that 1T'-MoTe$_2$ is a promising candidate for implementing nonlinear functions in integrated photonic neural networks.

physics.optics↗

Hybrid integration of two-dimensional dichalcogenides for low power saturable absorption in photonic integrated circuits

Silicon photonics provides a versatile platform for large-scale integration of optical functions, but its weak intrinsic nonlinear response limits the realization of active, intensity-dependent functionalities. Hybrid integration of two-dimensional (2D) materials has emerged as a promising strategy to overcome these limitations by enabling strong light--matter interaction and broadband absorption. Here, we demonstrate saturable absorption in a Complementary Metal-Oxide-Semiconductor (CMOS)-compatible silicon-on-insulator (SOI) microring resonator integrated with an exfoliated monolayer of 1T'-MoTe2. Transmission measurements under varying input powers reveal a clear nonlinear absorption response, with a saturation power as low as 2(1)uW. A phenomenological model accurately reproduces the experimental results, confirming the nonlinear behavior induced by the hybrid MoTe2 integration. These findings establish a proof-of-concept for ultracompact, low-power saturable absorbers in photonic integrated circuits (PICs), paving the way for applications in integrated lasers, ultrafast optical signal processing, and neuromorphic photonics.

physics.optics↗

Broadband photonic structures to achieve high coupling efficiencies and Purcell factors with dark and interlayer excitons in 2D materials

Horizontal slot waveguides are planar photonic structures with a guided mode which is strongly polarized in the out-of-plane direction and tightly confined in a sub-wavelength region of lower refractive index. We show through FDTD simulations that this mode can lead to coupling efficiencies $β>80\%$ and Purcell factors $F_P>10$ for some types of dark intralayer excitons in transition metal dichalcogenide (TMD) monolayers -- more aplty named ``gray excitons'', as their out-of-plane dipole does couple to adequately polarized light -- as well as interlayer excitons in TMD heterostructures. These figures indicate a path to the strong coupling regime for gray and interlayer excitons, while bright excitons are poorly coupled to the slot mode and experience Purcell suppression for $λ>\SI{1}{\micro\meter}$. A significant hurdle towards strong coupling, however, is the low oscillator strengths of these two excitonic species. We use the Tavis-Cummings model to show that a horizontal-slot racetrack resonator can overcome this difficulty and reach a cooperativity $C>>1$, albeit sacrificing the broadband characteristic of waveguides.

quant-ph↗