Wed |
Nanophotonic Accelerators for Recurrent Ising MachinesMs. Mihika Prabhu, Massachusetts Institute of Technology, Cambridge, MA | |
Abstract: Conventional computing architectures currently have no known efficient algorithms for combinatorial optimization tasks such as the Ising problem. We present an integrated nanophotonic recurrent Ising sampler (INPRIS), using a hybrid scheme combining electronics and silicon-on-insulator photonics, that is capable of converging to the ground state of various four-spin graphs with high probability. Our architecture is compatible with optoelectronic components operating at GHz clock rates, thereby suggesting the potential for future systems that could achieve orders-of-magnitude speedups in exploring the solution space of combinatorially hard problems. Biography: Mihika Prabhu received her BS in Physics and Electrical Engineering from MIT in 2015. She was a recipient of the 2016 NSF Graduate Research Fellowship, completed an MS in Electrical Engineering and Computer Science at MIT in 2018, and is currently a PhD candidate in the Department of Electrical Engineering and Computer Science at MIT. |
IEEE Photonics Society
Boston Photonics Society Chapter
Boston Chapter of the IEEE Photonics Society
Machine Learning and Optical Systems
Wednesday, October 7, 14, 21, 28 and November 4, 2020, 7:00-9:30 PM
Located at Online Seminar
The workshop expenses have |
For more information on the technical content of the workshop, contact either:
1) Keisuke Kojima, (kojima@merl.com), Chair
2) Ajay Garg, (ajay.sinclair.garg@ieee.org), Co-Chair
3) Dean Tsang, (tsang@ieee.org), Co-Chair
4) Bill Nelson, (w.nelson@ieee.org), Co-Chair
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