There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …

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 …

Recently there has been growing interest in using photonics to perform the linear algebra
operations of neuromorphic and quantum computing applications, aiming at harnessing …

The information sharing on behalf of the delivery of the packet in the network router and the
original information that is share to the correct person is enabled for the analysis and then …

Programmable unitary photonic devices are emerging as promising tools to implement
unitary transformation for quantum information processing, machine learning, and optical …

Every multi-input multi-output linear optical system can be deemed as a matrix multiplier that
carries out a desired transformation on the input optical information, such as imaging …

While analog neural network (NN) accelerators promise massive energy and time savings,
an important challenge is to make them robust to static fabrication error. Present-day training …

Deep learning still has drawbacks in terms of trustworthiness, which describes a
comprehensible, fair, safe, and reliable method. To mitigate the potential risk of AI, clear …

Optics and photonics have recently captured interest as a platform to accelerate linear matrix
processing, otherwise a bottleneck in traditional digital electronics. In this paper we propose …

Triangular cross-section color center photonics in silicon carbide is a leading candidate for
scalable implementation of quantum hardware. Within this geometry, we model low-loss …