Explore the frontier of physics and informatics during an internship with NTT Research. We are a basic research institute with our own computational and experimental laboratories in Sunnyvale, CA, USA. You will join our self-directed research scientists to work on fundamental scientific problems. You and your mentors will explore the frontier of physics and informatics. We respect academic freedom and always welcome innovative ideas.
Explore the frontier of physics and informatics during an internship with NTT Research. We are a basic research institute with our own computational and experimental laboratories in Sunnyvale, CA, USA. You will join our self-directed research scientists to work on fundamental scientific problems. You and your mentors will explore the frontier of physics and informatics. We respect academic freedom and always welcome innovative ideas.
Working with mentors to uncover and address key issues
Conducting fundamental research in quantum, optical, and neural networks
Writing up an academic paper to summarize research results
Examples of some potential projects: · Brain vs Machine: How do neural networks perform logical computation with language? · The role of noise in diffusion model-based generative modeling · Dissecting the mechanistic basis of concept learning · Physical neural networks with lithium niobite nanophotonics · Physical neural networks with CMOS electronics · Feasibility study for an experimental coherent Ising machine based on measurement feedback in a novel few-photon limit · Benchmarking against other quantum machines and modern heuristics · Dynamics of topological and non-Hermitian photonic systems · Driving nonlinear topological photonics by structured non-Hermitian lattices · Single photon quantum non-linearity from gate-defined dots · Physics of driven-dissipative non-linear networks in the presence of single-photon on-site non-linearity · Delocalized photonic training of DNNs using coherent Netcast · Hardware error correction in photonics · Electronic-photonic integration for machine learning · Temporal Trapping for Ultrafast Optical Strong Coupling · High-Speed Time-Multiplexed Optical Computing Systems · Frequency-multiplexed combinatorial optimization solver utilizing optical frequency combs · Novel measurement schemes for 2D materials · Squeezed vacuum for quantum communication and control · Inverse design of nonlinear waveguides · Advanced approaches to chip-to-fiber coupler · Monolithic sync pumped TFLN OPOs · In-situ periodic poling of ferroelectric thin films · TFLN vertical-cavity surface-emitting OPOs
Graduate and undergraduate student in Physics, Computer Science, Applied Mathematics, Electrical Engineering, and related technical field.