This review presents an overview of the current state‐of‐the‐art in photonics computing,
which leverages photons, photons coupled with matter, and optics‐related technologies for …

We propose and implement an interpretable machine learning classification model for
Explainable AI (XAI) based on expressive Boolean formulas. Potential applications include …

With the power grid growing more complex every day with the inclusion of new sensors and
regulatory approvals that enable end-users and small local developers to participate in the …

With the global trend of pursuing clean energy and decarbonization, power systems have
been evolving in a fast pace that we have never seen in the history of electrification. This …

The emerging technology of quantum computing has the potential to change the way how
problems will be solved in the future. This work presents a centralized network control …

One of the key applications of near-term quantum computers has been the development of
quantum optimization algorithms. However, these algorithms have largely been focused on …

We propose an approach to solving constrained combinatorial optimization problems based
on embedding the concept of Lagrangian duality into the framework of discretized adiabatic …

We present a novel light-matter platform that uses complex-valued oscillator networks, a
form of physical neural networks, to identify dominant subnetworks and uncover indirect …