We demonstrate a novel interferometric coherent photonic crossbar architecture (Xbar) that
can realize any tensor operator and allows for total loss-induced fidelity restoration, offering …

As blockchain technology and cryptocurrency become increasingly mainstream, photonic
computing has emerged as an efficient hardware platform that reduces ever-increasing …

Photonic integrated circuits (PICs) are emerging as a promising tool for accelerating matrix
multiplications in deep learning. Previous PIC architectures, primarily focusing on the matrix …

Multiport interferometers based on integrated beamsplitter meshes have recently captured
interest as a platform for many emerging technologies. In this paper, we present a novel …

Programmable unitary photonic networks that interfere hundreds of modes are emerging as
a key technology in energy-efficient sensing, machine learning, cryptography, and linear …

This paper analyzes the performance and energy efficiency of Netcast, a recently proposed
optical neural-network architecture designed for edge computing. Netcast performs deep …

Quantum machines exploiting particle entanglement and superposition are expected to
achieve computational advantages beyond classical computers. Silicon photonics provides …

Conventional multiport interferometers based on MZI meshes suffer from component
imperfections, which limit their scaling. We introduce two new designs that overcome this …