NTT Research, Inc., a division of NTT (TYO:9432), today announced that its Physics & Informatics (PHI) Lab continues to advance basic scientific knowledge in the areas of neural network, photonics and quantum science. In a three-month span, from March 1 to May 31, ten influential scientific journals published or accepted 12 papers co-authored by PHI Lab scientists. At the same time, members of the PHI Lab delivered 19 talks at six scientific conferences or meetings. The journal publishers included the American Association for the Advancement of Science (AAAS), the American Chemical Society (ACS), the American Physical Society (APS), Cell Press, the Genetics Society of America (GSA), Nature Portfolio and Optica (formerly OSA). The conference hosts were APS, Optica, the Institute of Electronic and Electrical Engineers (IEEE) Photonics Society, the International Conference on Physics of Light-Matter Coupling in Nanostructures (PLMCN), the Society for Neuroscience and SPIE (the International Society for Optical Engineering).
“This three-month snapshot indicates the breadth, depth, productivity and impact of our research,” PHI Lab Director Yoshihisa Yamamoto said. “We are pressing ahead in several areas at once – especially optical parametric oscillators, optical neural networks and coherent computing principles – and influencing the future of these fields as we also re-think today’s standard computational model.”
The timeline for publishing empirically based academic papers is lengthy. Prior to any write-up, submission, peer review and acceptance, scientists must first conduct theoretical research, design experiments, run tests and analyze results. These twelve papers, which were published or accepted within the three-month period, reflect many years of cumulative work. Listed here are their titles, along with PHI Lab co-authors, journal name and two-year impact factor (a mean number of citations of articles published in a given journal):
- “Deep Learning with Coherent VCSEL Neural Networks;” Ryan Hamerly, et al., Nature Photonics (35.0)
- “Image sensing with multilayer, nonlinear optical neural networks;” Tatsuhiro Onodera, Logan Wright, et al., Nature Photonics (35.0)
- “Coherent SAT Solvers;” Sam Reifenstein, Timothée Leleu, Tim McKenna, Marc Jankowski, Myoung-Gyun Suh, Edwin Ng, Yoshihisa Yamamoto, et al., Advances in Optics and Photonics (24.8)
- “The dynamic neural code of the retina for natural scenes;” Hidenori Tanaka, et al., Neuron (16.2) (pre-publication)
- “Single-Shot Optical Neural Network;” Ryan Hamerly, et al., Science Advances (13.6)
- “Optically driven rotation of exciton-polariton condensates;” Michael Fraser, et al., Nano Letters (10.8)
- “Degenerate optical parametric amplification in CMOS silicon;” Edwin Ng, et al., Optica (10.6)
- “A Monolithically Integrated Femtosecond Optical Parametric Oscillator;” Marc Jankowski, et al., Optica (10.6)
- “Quantum nondemolition measurements with optical parametric amplifiers for ultrafast universal quantum information processing;” Ryotatsu Yanagimoto, et al., PRX Quantum (9.7)
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“Experimental observation of chimera states in spiking neural networks based on degenerate optical parametric oscillators;” Timothée Leleu, et al., Communications Physics (6.5)
“Inferring sparse structure in genotype-phenotype maps;” Gautam Reddy Nallamala, et al., Genetics (6.0) (pre-publication)
“AlGaAs soliton microcombs at room temperature;” Myoung-Gyun Suh, et al., Optics Letters (3.6)
During this period, PHI Lab scientists also gave 19 presentations (papers and/or talks) to six conferences or meetings. Eight were invited, reflecting community interest in the PHI Lab research agenda. At CLEO 2023, Onodera, Wright, and Hamerly each presented invited papers. Yanagimoto and Jankowski contributed two more talks apiece. At SPIE’s Photonic West event, Onodera and Yanagimoto delivered another two invited talks. Ng also made an invited presentation at the Optica Advanced Photonics Congress, and Fraser at PLMCN 2023. At the APS March Meeting, Leleu contributed four talks; and Jenny Hu and Sho Sugiura, one apiece. Tanaka is scheduled to make a poster presentation later this year at Neuroscience 2023. (In each of these cases, the in-person presentation involved either the named PHI Lab scientist or a research collaborator.)
The PHI Lab has entered joint research agreements with nine universities and one government organization, whose collaboration may be reflected in some of the papers and presentations noted above. Those academic partners include the California Institute of Technology (Caltech), Cornell University, Harvard University, Massachusetts Institute of Technology (MIT), Notre Dame University, Stanford University, Swinburne University of Technology, the Tokyo Institute of Technology and the University of Michigan. The NASA Ames Research Center in Silicon Valley has also entered into a joint research agreement with the PHI Lab.
About NTT Research
NTT Research opened its offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research facilities in Sunnyvale: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuroscience and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.
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