Search Menu
Photonics Media Photonics Marketplace Photonics Spectra BioPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

PHI Lab Collaborates on Quantum Neural Network-Based Computing

Facebook Twitter LinkedIn Email
NTT Research Inc.’s Physics and Informatics (PHI) Lab has reached joint research agreements with six universities, one government agency, and one private company for quantum neural network-based computing. The PHI Lab has struck five-year agreements with California Institute of Technology (Caltech), Cornell University, University of Michigan, Massachusetts Institute of Technology (MIT), NASA Ames Research Center in Silicon Valley, Stanford University, Swinburne University of Technology, and quantum computing software company 1QBit.

Each of the agreements identifies research subjects, project milestones between 2019 and 2024, and one or more principal investigators (PIs) at the collaborating organization who are responsible for the direction and content of their research. The 14 PIs and co-PIs, together with Ph.D. students, post-doctoral fellows, and researchers who make up the collaborating teams, will conduct research and joint experiments with scientists at NTT Research’s PHI Lab in Palo Alto.

Research agreements with Caltech, Cornell, NASA, Swinburne, and 1QBit focus on computational techniques, while research agreements with Michigan, MIT, and Stanford focus more on the hardware and materials aspects of computing.

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup. Currently three labs are housed at NTT Research: the PHI Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. NTT Research is part of NTT, a global technology and business solutions provider with an annual research and development budget of $3.6 billion.

Photonics Spectra
Jan 2020
Businessquantum computingoptical computingCaltechCalifornia Institute of TechnologyUniversity of MichiganCornell UniversityMassachusetts Institute of TechnologyNASANASA Ames Research CenterStanford Universitynonlinear opticsSwinburne University of Technology1Qbitneural networkseducationlight speed

back to top
Facebook Twitter Instagram LinkedIn YouTube RSS
©2023 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

Photonics Media, Laurin Publishing
x Subscribe to Photonics Spectra magazine - FREE!
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.