15 citations · 20 across the 2 of their papers we have counts for
4 papers
Automated Atomic Silicon Quantum Dot Circuit Design via Deep Reinforcement Learning
Robert Lupoiu, Samuel S. H. Ng, Jonathan A. Fan +1
Robust automated design tools are crucial for the proliferation of any computing technology. We introduce the first automated design tool for the silicon dangling bond quantum dot…
WaveY-Net: Physics-augmented deep learning for high-speed electromagnetic simulation and optimization
Mingkun Chen, Robert Lupoiu, Chenkai Mao +4
The calculation of electromagnetic field distributions within structured media is central to the optimization and validation of photonic devices. We introduce WaveY-Net, a hybrid d…
MetaNet: A new paradigm for data sharing in photonics research
Jiaqi Jiang, Robert Lupoiu, Evan W. Wang +4
Optimization methods are playing an increasingly important role in all facets of photonics engineering, from integrated photonics to free space diffractive optics. However, efforts…
SiQAD: A Design and Simulation Tool for Atomic Silicon Quantum Dot Circuits
Samuel Ng, Jacob Retallick, Hsi Nien Chiu +7
This paper introduces SiQAD, a computer-aided design tool enabling the rapid design and simulation of atomic silicon dangling bond quantum dot patterns capable of computational log…