Roadmap on all-optical processing

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We present an O-band GaAs optical amplifier integrated on an advanced SiN platform using micro-transfer printing. A polycrystalline Si layer facilitates light coupling between GaAs and SiN, resulting 5 dB on-chip gain at 1300 nm. ...

Quantum computing and superconducting nanowire (SNWD) detector arrays are two prominent areas of research, offering the potential to address complex problems that are currently intractable with conventional means. Quantum computers promise to vastly accele ...

2D van der Waals heterojunctions (vdWH) have emerged as an attractive platform for the realization of optoelectronic synaptic devices, which are critical for energy-efficient computing systems. Photogating induced by charge traps at the interfaces indeed r ...

The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

Quantum computing not only holds the potential to solve long-standing problems in quantum physics, but also to offer speed-ups across a broad spectrum of other fields. Access to a computational space that incorporates quantum effects, such as superposition ...

Photonics integrated circuits are a promising solution for the growing demands of data transmission and future system-on-chip technologies. Within this context, nonlinear optical interactions offer unique opportunities for all-optical processing, sampling, ...

A device (1) and method for processing data comprises at least one input layer (2), at least one modulation layer (3), and at least one output layer (4). The input layer (2) is configured to receive at least one carrier signal (Sc). The modulation layer (3 ...

Quantum optics studies how photons interact with other forms of matter, the understanding of which was crucial for the development of quantum mechanics as a whole. Starting from the photoelectric effect, the quantum property of light has led to the develop ...

Consider the wave equation with heterogeneous coefficients in the homogenization regime. At large times, the wave interacts in a nontrivial way with the heterogeneities, giving rise to effective dispersive effects. The main achievement of the present wor ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

Advancing quantum technologies depends on the precise control of individual quantum systems, the so-called qubits, and the exploitation of their quantum properties. Nowadays, expanding the number of qubits to be entangled is at the core of the developments ...

Chaos sets a fundamental limit to quantum-information processing schemes. We study the onset of chaos in spatially extended quantum many-body systems that are relevant to quantum optical devices. We consider an extended version of the Tavis-Cummings model ...

Electrically connected and plasmonically enhanced molecular junctions combine the optical functionalities of high field confinement and enhancement (cavity function), and of high radiative efficiency (antenna function) with the electrical functionalities o ...

Quantum state reconstruction using Neural Quantum States has been proposed as a viable tool to reduce quantum shot complexity in practical applications, and its advantage over competing techniques has been shown in numerical experiments focusing mainly on ...

Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacted this ...

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

Keeping up with our constantly connected lifestyle of instant messages and video streaming has its repercussions. Data centers have been gobbling up resources becoming a significant share of the energy used worldwide. To keep up with demand and curb the en ...

The quest to improve transparent conductors balances two key goals: increasing electrical conductivity and increasing optical transparency. To improve both simultaneously is hindered by the physical limitation that good metals with high electrical conducti ...

Silicon photonics has emerged as a mature technology that is expected to play a key role in critical emerging applications, including very high data rate optical communications, distance sensing for autonomous vehicles, photonic-accelerated computing, and ...

The variational approach is a cornerstone of computational physics, considering both conventional and quantum computing computational platforms. The variational quantum eigensolver algorithm aims to prepare the ground state of a Hamiltonian exploiting para ...

Roadmap on all-optical processing

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O-Band Gaas Quantum Dot Optical Amplifier Integrated on an Advanced Sin Platform

SiGe Based Cryo-BiCMOS Architectures for Quantum Applications

Light-Intensity Switching of Graphene/WSe2 Synaptic Devices

3D diffractive optics for linear interconnects and nonlinear processing

Scalable Quantum Algorithms for Noisy Quantum Computers

Parametric Wavelength Conversion in Waveguiding Structures: Efficiency, Bandwidth and Polarization

Optical data processing using structural non-linearity

Room-Temperature Quantum Optomechanics and Free-Electron Quantum Optics

A Spectral Ansatz for The Long-Time Homogenization of The Wave Equation

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Electron-beam based nanoscale quantum controls

Transition to chaos in extended systems and their quantum impurity models

Light Emission and Conductance Fluctuations in Electrically Driven and Plasmonically Enhanced Molecular Junctions

Empirical Sample Complexity of Neural Network Mixed State Reconstruction

Sparse autoregressive neural networks for classical spin systems

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Domain Imaging and Switching Dynamics in BaTiO3-Based Photonic Integrated Devices

Layered metals as polarized transparent conductors

Integrated silicon photonic MEMS

Phenomenological theory of variational quantum ground-state preparation