PHI Lab Team

Yoshihisa Yamamoto


Professor Yoshihisa Yamamoto is a director of the NTT PHI Laboratories and a professor of Applied Physics & Electrical Engineering, Emeritus, at Stanford University. He led research laboratories focused on quantum optics and quantum information processing for more than 30 years. His current research interests are in the areas of quantum information, quantum optics, and mesoscopic physics such as squeezed states, quantum nondemolition measurements, cavity quantum electrodynamics, quantum computers, and mesoscopic electron transport and tunneling.

The PHI Lab Team

Robert Byer

NTT Research, Distinguished Scientist, PHI Lab

Professor Robert L. Byer is the William R. Kenan, Jr. Professor of Applied Physics at Stanford University. He has made numerous contributions to laser science and technology including the demonstration of the first tunable visible parametric oscillator, the development of the Q-switched unstable resonator Nd:YAG laser, remote sensing using tunable infrared sources and precision spectroscopy using Coherent Anti Stokes Raman Scattering (CARS). Current research includes the development of nonlinear optical materials and laser diode pumped solid state laser sources for applications to gravitational wave detection and to laser particle acceleration.

Thibault Chervy

Ph.D., University of Strasbourg

Thibault Chervy’s main research interest is at the interface between optics and complex materials. By confining photons inside correlated and topological media, he aims to realize emergent phases of light, such as bosonic fractional quantum Hall effects and quantum spin liquids. Conversely, his work explores how complex phases of matter can be transformed by engineering their electromagnetic environment.

Amanda Davidovich

Administrative Assistant

Ms. Davidovich is the Administrative Assistant of the PHI Lab. Prior to this role, she worked as the Program Coordinator for Stanford University’s Shorenstein Asia-Pacific Research Center Japan Program. Additionally, she has experience in recruiting as well as finance and operations. Born in Brazil, she grew up mostly on the East Coast of the US and graduated from the University of British Columbia with a bachelor’s degree in Japanese language and culture.

Michael D. Fraser

Ph.D., The Australian National University

Michael D. Fraser is interested in the artificial creation of topological, non-Hermitian and strongly-correlated systems in photonic and hybrid light-matter systems. By engineering the structure and interaction in photonic networks, such as time-multiplexed pulse networks and fabricated on-chip non-linear optical circuits, he aims to realize, study and control condensed matter systems such as bosonic fractional quantum Hall effects, fractional Chern insulators and quantum spin liquids.

Adil Gangat

Ph.D., The University of Queensland

Adil Gangat’s research focuses on the lines of quantum optics theory and condensed matter theory. Currently he works on applying computational tensor network methods to understand the phase transitions in a particular spin lattice model, and on providing computational simulations to guide experiments in circuit QED.

Ryan Hamerly

Ph.D., Stanford University

Ryan Hamerly first discovered physics in high school, where he taught himself electromagnetism to build a Tesla coil. At college (B.S. 2010, Caltech) he studied theoretical particle physics and general relativity. Since graduate school (Ph.D. 2016, Stanford), he pursues research in quantum control, quantum optics, nonlinear optics. Current work focuses on the emerging nexus of photonics, deep learning, quantum computing, and optimization.

Yoshitaka Inui

Ph.D., Kyoto University

Yoshitaka Inui researches theory and first-principle/approximated simulation of models of dissipative nonlinear optics (particularly, lasers and optical parametric oscillators), which have quantum characteristics. Examples include squeezing, sub/super-Poissonian statistics, and entanglement. He simulates models of condensed-matter physics with coupled lasers, known as dissipative counterpart of equilibrium phase transition models.

Marc Jankowski

Ph.D., Stanford University

Marc Jankowski looks at the intersection of nonlinear dynamics with optical systems, particularly nanophotonic devices. His work with NTT PHI Lab addresses the following questions: What are the ultimate limits, in terms of size and energy requirements, of nonlinear photonic devices? What dynamical regimes are still undiscovered? How can these nonlinear devices and processes be used to enable new technologies, such quantum and classical light sources?

Satoshi Kako

Ph.D., University of Tokyo

Satoshi Kako received his my undergraduate/master’s degrees in electronic engineering from the University of Electro-Communications in 1996/1998 followed by his Doctor of Engineering from the University of Tokyo in 2006. There he worked on the experimental investigation of optical properties of solid-sate nano-structures. Current research focuses on the potential capability and application of coherent network computing.

Tim McKenna

Tim McKenna enjoys waves and particles of all kinds but focuses on light and microwaves as he probes the limits of on-chip integrated systems to perform tasks in the areas of computing, communications, and sensing. He feels driven to combine breakthroughs in quantum information science with advances in nanofabrication, thereby pushing forward the state of the art of information processing. Mr. McKenna believes the future of quantum technologies relies upon the scalable integration of systems on the surface of a chip.

Gautam Reddy Nallamala

Ph.D., University of California San Diego

Gautam Reddy Nallamala works at the intersection of physics, quantitative biology and machine learning. In particular, he is interested in developing algorithmic approaches to animal behavior, with the goal of understanding the strategies that animals employ to perform tasks necessary for survival. Ideas from sequential optimization and reinforcement learning form the backbone of his work. At PHI lab, he seeks to understand how neural representations of the world are leveraged to solve complex spatial and abstract tasks.

Edwin Ng

Ph.D., Stanford University

What technological roles will photonics occupy on the path towards scalable quantum engineering? At the device level, how do single-photon nonlinearities and ultrafast dynamics enable novel quantum mechanisms? Architecturally, do optical neuromorphic networks represent a new paradigm for coherent information processing? At PHI Lab, Edwin Ng works on developing theoretical models and experimental techniques to understand and control the physics of high-dimensional photonic systems operating at the quantum limit.

Tatsuhiro Onodera

Ph.D., Stanford University

Tatsuhiro Onodera is broadly interested in both quantum optics and computing. At PHI lab, he investigates if employing an expanded toolbox of quantum optics can improve our ability to perform interesting computation. He currently studies the generation of non-classical (non-Gaussian) states of light in on-chip photonic architectures while examining the implications of this work for the coherent Ising machine.

Jess Riedel

Ph.D., UC Santa Barbara

Jess Riedel studies decoherence and the quantum-classical transition. He is especially interested in defining and efficiently identifying wavefunction “branches” in out-of-equilibrium many-body systems. These quasi-classical components can be characterized by the presence of spatially disjoint redundant information, and classically sampling from them may speed up real-time tensor-network simulations. In the past, he studied the sensitivity of massive superpositions to very small momentum transfers, especially as a way to use matter interferometers to detect MeV-scale dark matter.

Sho Sugiura

Ph.D., The University of Tokyo

Quantum computing is interesting, because it is counterintuitive from our common sense yet will be beneficial to our society. While attaining his ph.D and postdocs in Tokyo university and in Harvard, he studied quantum many-body physics – statistical physics, quantum chaos, and condensed matter physics. He remains passionate about creating bridges between quantum computing and quantum many-body physics. Currently, he focuses on quantum algorithmic measurements which are feasible in experiments.

Myoung-Gyun Suh

Ph.D., Caltech

Myoung-Gyun Suh’s main area of research relates to the development of on-chip optical sources and their application to precision measurements. In particular, his work has focused on understanding nonlinear or quantum optics in high-quality-factor microresonators, and utilizing these to develop narrow linewidth lasers, chip-scale optical frequency combs, and optical sensors. In the PHI Lab, he works toward developing novel optical tools and hardware architectures for information processing.

Akiko Tanaka

Research Operations Manager

Akiko Tanaka is a research operations manager at PHI Lab. She primarily focuses on the applications of physics and new technologies to solve real-world problems. Before joining PHI lab, she was a research assistant at the Harvard seismology group working on the hypocenter-relocation of earthquakes to obtain insights on seismic activities. She gained her prior experience at various labs, a gas company, and in science media.

Hidenori Tanaka

Ph.D., Harvard University

Hidenori Tanaka is a theorist who is fascinated by questions at the interface of physics, neuroscience, and machine learning. His guiding questions include: What can deep learning models tell us about computational mechanisms of the brain? What is the learning algorithm governing our brain? How are these mechanisms realized respecting the laws of physics? At PHI Lab, he aims to harness scientific discoveries that lead to more natural intelligent algorithms and hardware.

Logan G. Wright

Ph.D., Cornell University

Logan G. Wright explores the topics of complexity, intelligence, nonlinearity, lasers, and quantum optics. He is focused on several key questions. In what sense do natural complex systems perform computations? Can we use this perspective of natural computation to design and discover intelligent machines or algorithms, to understand the brain, or to utilize quantum resources? Can viewing nature as computation help uncover universal physical principles?