Kouhei Nakaji

Kouhei Nakaji is a postdoctoral researcher at the University of Toronto’s Matter Lab (Alan Aspuru-Guzik group), specializing in quantum computing and its applications. He began his research career at Keio University and the Keio Quantum Computing Center in 2020, earning his Ph.D. in 2022. He has strong expertise in machine learning engineering as well, backed by over 5years of experience in the industry before his academic career.
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Posts by Kouhei Nakaji

Quantum error computing diagram.
Simulation / Modeling / Design Mar 18, 2025

NVIDIA and QuEra Decode Quantum Errors with AI

Qubits are inherently sensitive to noise, and it is expected that even the most robust qubits will always exhibit noise levels orders of magnitude from what’s... 10 MIN READ
Chart of algorithm workflow.
Simulation / Modeling / Design Sep 30, 2024

Advancing Quantum Algorithm Design with GPTs

AI techniques like large language models (LLMs) are rapidly transforming many scientific disciplines. Quantum computing is no exception. A collaboration between... 8 MIN READ