Dr. Akio Tomiya

Professional Experience

• April 2024 – Present: Lecturer, Department of Mathematical Sciences, Tokyo Woman's Christian University
• August 2021 – March 2024: Assistant Professor, International Professional University of Technology in Osaka
• September 2018 – July 2021: Special Researcher, RIKEN BNL Research Center, USA
• October 2015 – August 2018: Postdoctoral Researcher, Central China Normal University, Wuhan, China
• May 2015 – August 2015: Special Researcher, Graduate School of Science, Osaka University

Education

• March 2015: Ph.D. in Science, Osaka University
• March 2012: Master’s in Science, Osaka University
• March 2010: Bachelor’s in Science, University of Hyogo

Research Interests

• Lattice Gauge Theory and Particle Physics: Investigating non-perturbative aspects of quantum field theories, particularly through lattice QCD, to understand phenomena such as chiral symmetry breaking and phase transitions.
• Machine Learning Applications in Physics: Developing and applying machine learning techniques (including deep neural networks) to analyze complex data and model physical systems, enhancing computational methods in theoretical physics.
• Quantum Computation and Entanglement: Exploring quantum computing methodologies and the role of entanglement in quantum systems to address fundamental problems in physics and simulate quantum field theories.

Publications

Awards

• November 2024: Journal of the Physical Society of Japan Editors’ Choice for “Self-Learning Monte Carlo with Equivariant Transformer.”
• January 2024: 29th Outstanding Paper Award of the Physical Society of Japan for “Detection of Phase Transition via Convolutional Neural Networks.”
• June 2019: Young Scientist Award in Theoretical Particle Physics for “Detection of Phase Transition via Convolutional Neural Networks.”
• April 2019: Most Cited Article in 2018 from Vol. 86 (2017) for “Detection of Phase Transition via Convolutional Neural Networks,” Journal of the Physical Society of Japan.

Research Grants

• "Exploring Fundamental Science through Simulations: Approaches to the Quantum New Era" (2023–2026):
  A Supercomputer “Fugaku” project to advance fundamental science in the quantum era.
  Total Allocation: Information not available
• "Exploration of New Physics through Large-Scale Lattice QCD and Development of AI Technologies for Next-Generation Computations" (2023–2026):
  Developing AI technologies for large-scale lattice QCD calculations to explore new physics.
  Total Allocation: Information not available

Open Source Projects

Dr. Tomiya has contributed to the development of JuliaQCD, a native Julia code for lattice QCD calculations. This software facilitates efficient lattice QCD simulations, supporting researchers in high-performance computing environments.