Publications: Proposed Generative Quantum Eigensolver (GQE) and its pre-trainable Transformer implementation (GPT-QE), available at https://arxiv.org/abs/2401.09253; Research on Hamiltonian simulation published in PRX Quantum 5, 020330; Work on solving differential equations published at https://arxiv.org/abs/2306.11802.
Research Experience
Currently a Senior Quantum Applied Research Scientist at NVIDIA; Formerly a Postdoctoral Researcher at the University of Toronto's Matter Lab; Started research work at Keio University and the Keio Quantum Computing Center in 2020.
Education
Ph.D. from Keio University in 2022, advisor information not provided; Over five years of experience in machine learning engineering before starting an academic career.
Background
Research Interests: Near-term realization of practical quantum computing applications. Specialization: Quantum computing and its applications, AI. Brief Bio: Working as a Senior Quantum Applied Research Scientist at NVIDIA Inc., previously a postdoctoral researcher at the University of Toronto’s Matter Lab (Alan Aspuru-Guzik group), specializing in quantum computing and its applications.
Miscellany
Information about personal interests and hobbies not provided