Zobrazeno 1 - 10
of 1 877
pro vyhledávání: '"Yoo, S. J."'
3T TRAM with doping profile (P+PNPNN+) is experimentally demonstrated on a silicon photonic platform. By using additional implant layers, this device provides excellent memory performance compared to the conventional structure (PNPN). TCAD is used to
Externí odkaz:
http://arxiv.org/abs/2409.07598
Autor:
Shaddix, William, Samani, Mahyar, Fariborz, Marjan, Yoo, S. J. Ben, Lowe-Power, Jason, Akella, Venkatesh
Graphs are essential for representing relationships in various domains, driving modern AI applications such as graph analytics and neural networks across science, engineering, cybersecurity, transportation, and economics. However, the size of modern
Externí odkaz:
http://arxiv.org/abs/2404.03155
Autor:
Yoo, S. J. Ben, El-Srouji, Luis, Datta, Suman, Yu, Shimeng, Incorvia, Jean Anne, Salleo, Alberto, Sorger, Volker, Hu, Juejun, Kimerling, Lionel C, Bouchard, Kristofer, Geng, Joy, Chaudhuri, Rishidev, Ranganath, Charan, O'Reilly, Randall
The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the brain has been one of the top priorities of science and technology resea
Externí odkaz:
http://arxiv.org/abs/2403.19724
Mach-Zehnder Interferometric meshes are attractive for low-loss photonic matrix multiplication but are challenging to program. Using least-squares optimization of directional derivatives, we experimentally demonstrate that desired matrix updates can
Externí odkaz:
http://arxiv.org/abs/2401.03564
Autor:
Fu, Mingye, Yoo, S. J. Ben
We demonstrated a Germanium-on-Silicon photodetector utilizing an asymmetric-Fabry-Perot resonator with 0.08 fF capacitance. The measurements at 1315.5 nm show 0.72 nA (3.40 nA) dark current, 0.93 A/W (0.96 A/W) responsivity, 36 Gb/s (38 Gb/s) operat
Externí odkaz:
http://arxiv.org/abs/2401.03527
Autor:
On, Mehmet Berkay, Ashtiani, Farshid, Sanchez-Jacome, David, Perez-Lopez, Daniel, Yoo, S. J. Ben, Blanco-Redondo, Andrea
A variety of topological Hamiltonians have been demonstrated in photonic platforms, leading to fundamental discoveries and enhanced robustness in applications such as lasing, sensing, and quantum technologies. To date, each topological photonic platf
Externí odkaz:
http://arxiv.org/abs/2307.05003
Autor:
Yoo, S. J. Ben, Singh, Sandeep Kumar, On, Mehmet Berkay, Gul, Gamze, Kanter, Gregory S., Proietti, Roberto, Kumar, Prem
We introduce a new concept of Quantum Wrapper Networking, which enables control, management, and operation of quantum networks that can co-exist with classical networks while keeping the requirements for quantum networks intact. The quantum wrapper n
Externí odkaz:
http://arxiv.org/abs/2305.00591
Autor:
Yoo, S. J. Ben
AI/ML for data centres and data centres for AI/ML are defining new trends in cloud computing. Disaggregated heterogeneous reconfigurable computing systems realized by photonic interconnects and photonic switching expect greatly enhanced throughput an
Externí odkaz:
http://arxiv.org/abs/2209.08873
Spiking neural networks (SNN) provide a new computational paradigm capable of highly parallelized, real-time processing. Photonic devices are ideal for the design of high-bandwidth, parallel architectures matching the SNN computational paradigm. Co-i
Externí odkaz:
http://arxiv.org/abs/2208.13144
We designed, prototyped, and experimentally demonstrated, for the first time to our knowledge, an optoelectronic spiking neuron inspired by the Izhikevich model incorporating both excitatory and inhibitory optical spiking inputs and producing optical
Externí odkaz:
http://arxiv.org/abs/2105.02809