A manufacturable platform for photonic quantum computing

Autor: Alexander, Koen, Bahgat, Andrea, Benyamini, Avishai, Black, Dylan, Bonneau, Damien, Burgos, Stanley, Burridge, Ben, Campbell, Geoff, Catalano, Gabriel, Ceballos, Alex, Chang, Chia-Ming, Chung, CJ, Danesh, Fariba, Dauer, Tom, Davis, Michael, Dudley, Eric, Er-Xuan, Ping, Fargas, Josep, Farsi, Alessandro, Fenrich, Colleen, Frazer, Jonathan, Fukami, Masaya, Ganesan, Yogeeswaran, Gibson, Gary, Gimeno-Segovia, Mercedes, Goeldi, Sebastian, Goley, Patrick, Haislmaier, Ryan, Halimi, Sami, Hansen, Paul, Hardy, Sam, Horng, Jason, House, Matthew, Hu, Hong, Jadidi, Mehdi, Johansson, Henrik, Jones, Thomas, Kamineni, Vimal, Kelez, Nicholas, Koustuban, Ravi, Kovall, George, Krogen, Peter, Kumar, Nikhil, Liang, Yong, LiCausi, Nicholas, Llewellyn, Dan, Lokovic, Kimberly, Lovelady, Michael, Manfrinato, Vitor, Melnichuk, Ann, Souza, Mario, Mendoza, Gabriel, Moores, Brad, Mukherjee, Shaunak, Munns, Joseph, Musalem, Francois-Xavier, Najafi, Faraz, O'Brien, Jeremy L., Ortmann, J. Elliott, Pai, Sunil, Park, Bryan, Peng, Hsuan-Tung, Penthorn, Nicholas, Peterson, Brennan, Poush, Matt, Pryde, Geoff J., Ramprasad, Tarun, Ray, Gareth, Rodriguez, Angelita, Roxworthy, Brian, Rudolph, Terry, Saunders, Dylan J., Shadbolt, Pete, Shah, Deesha, Shin, Hyungki, Smith, Jake, Sohn, Ben, Sohn, Young-Ik, Son, Gyeongho, Sparrow, Chris, Staffaroni, Matteo, Stavrakas, Camille, Sukumaran, Vijay, Tamborini, Davide, Thompson, Mark G., Tran, Khanh, Triplet, Mark, Tung, Maryann, Vert, Alexey, Vidrighin, Mihai D., Vorobeichik, Ilya, Weigel, Peter, Wingert, Mathhew, Wooding, Jamie, Zhou, Xinran

Whilst holding great promise for low noise, ease of operation and networking, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions. Here we introduce a manufacturable pl

Externí odkaz: http://arxiv.org/abs/2404.17570

Scalable and self-correcting photonic computation using balanced photonic binary tree cascades

Autor: Pai, Sunil, Solgaard, Olav, Fan, Shanhui, Miller, David A. B.

Programmable unitary photonic networks that interfere hundreds of modes are emerging as a key technology in energy-efficient sensing, machine learning, cryptography, and linear optical quantum computing applications. In this work, we establish a theo

Externí odkaz: http://arxiv.org/abs/2210.16935

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

Autor: Pai, Sunil, Sun, Zhanghao, Hughes, Tyler W., Park, Taewon, Bartlett, Ben, Williamson, Ian A. D., Minkov, Momchil, Milanizadeh, Maziyar, Abebe, Nathnael, Morichetti, Francesco, Melloni, Andrea, Fan, Shanhui, Solgaard, Olav, Miller, David A. B.

Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in data centers. The most efficient and well-entrenched method to train su

Externí odkaz: http://arxiv.org/abs/2205.08501

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

Autor: Williamson, Ian A. D., Hughes, Tyler W., Minkov, Momchil, Bartlett, Ben, Pai, Sunil, Fan, Shanhui

Publikováno v: IEEE Journal of Selected Topics in Quantum Electronics, vol. 26, no. 1, pp. 1-12, Jan. 2020

We introduce an electro-optic hardware platform for nonlinear activation functions in optical neural networks. The optical-to-optical nonlinearity operates by converting a small portion of the input optical signal into an analog electric signal, whic

Externí odkaz: http://arxiv.org/abs/1903.04579

Matrix optimization on universal unitary photonic devices

Autor: Pai, Sunil, Bartlett, Ben, Solgaard, Olav, Miller, David A. B.

Publikováno v: Phys. Rev. Applied 11, 064044 (2019)

Universal unitary photonic devices can apply arbitrary unitary transformations to a vector of input modes and provide a promising hardware platform for fast and energy-efficient machine learning using light. We simulate the gradient-based optimizatio

Externí odkaz: http://arxiv.org/abs/1808.00458