74 citations · 212 across the 23 of their papers we have counts for
6 papers · 1 filter
PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
Michael Bezick, Blake A. Wilson, Vaishnavi Iyer +6
PearSAN is a machine learning-assisted optimization algorithm applicable to inverse design problems with large design spaces, where traditional optimizers struggle. The algorithm l…
Second Harmonic Generation and Nonlinear Frequency Conversion in Photonic Time-Crystals
Noa Konforty, Moshe-Ishay Cohen, Ohad Segal +2
We study the nonlinear process of second harmonic generation in photonic time-crystals, materials with refractive index that varies abruptly and periodically in time, and obtain th…
Bottom-up Fabrication of 2D Rydberg Exciton Arrays in Cuprous Oxide
Kinjol Barua, Samuel Peana, Arya Deepak Keni +5
Solid-state platforms provide exceptional opportunities for advancing on-chip quantum technologies by enhancing interaction strengths through coupling, scalability, and robustness.…
Floquet Engineering of Polaritonic Amplification in Dispersive Photonic Time Crystals
Mustafa Goksu Ozlu, Vahagn Mkhitaryan, Colton B. Fruhling +2
In this study, we investigate the dynamics of dispersive photonic time crystals (PTCs) and their potential applications for controlling light-matter interaction. By employing the L…
Non-native Quantum Generative Optimization with Adversarial Autoencoders
Blake A. Wilson, Jonathan Wurtz, Vahagn Mkhitaryan +5
Large-scale optimization problems are prevalent in several fields, including engineering, finance, and logistics. However, most optimization problems cannot be efficiently encoded…
Site-Controlled Purcell-Induced Bright Single Photon Emitters in Hexagonal Boron Nitride
Mashnoon Alam Sakib, Brandon Triplett, William Harris +8
Single photon emitters (SPEs) hosted in hexagonal boron nitride (hBN) are essential elementary building blocks for enabling future on-chip quantum photonic technologies that operat…