462 citations · 479 across the 7 of their papers we have counts for
8 papers
Co-design of Silicon Microring Modulator beyond 200 Gb/s per Lane: Device Physics, Operating Point, and Compact Models for Scale-Up and Scale-Out Optical I/O
Zhihong Huang, Yuan Yuan, Yiwei Peng +3
Optical input/output (I/O) supports high-bandwidth communication between processors in artificial intelligence (AI) systems. Depletion-mode silicon microring modulators offer compa…
A Full Stack Framework for High Performance Quantum-Classical Computing
Xin Zhan, K. Grace Johnson, Aniello Esposito +5
To address the growing needs for scalable High Performance Computing (HPC) and Quantum Computing (QC) integration, we present our HPC-QC full stack framework and its hybrid workloa…
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training
Yequan Zhao, Xian Xiao, Antoine Descos +6
Partial differential equation (PDE) is an important math tool in science and engineering. This paper experimentally demonstrates an optical neural PDE solver by leveraging the back…
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson +48
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become po…
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture
Yiwei Peng, Sean Hooten, Xinling Yu +7
Kolmogorov-Arnold Networks (KAN) models were recently proposed and claimed to provide improved parameter scaling and interpretability compared to conventional multilayer perceptron…
Separable Operator Networks
Xinling Yu, Sean Hooten, Ziyue Liu +4
Operator learning has become a powerful tool in machine learning for modeling complex physical systems governed by partial differential equations (PDEs). Although Deep Operator Net…
Silicon Optical Memory: Non-Volatile Optoelectronic Devices via Si-SiO Hysteresis Effect
Yuan Yuan, Yiwei Peng, Stanley Cheung +5
Implementing on-chip non-volatile optical memories has long been an actively pursued goal, promising significant enhancements in the capability and energy efficiency of photonic in…
Corona: System Implications of Emerging Nanophotonic Technology
Dana Vantrease, Robert Schreiber, Matteo Monchiero +7
We expect that many-core microprocessors will push performance per chip from the 10 gigaflop to the 10 teraflop range in the coming decade. To support this increased performance, m…